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Message from the Chair John Michopoulos
Welcome to the 2011-12 issue of CIE
(Computers and Information in
Engineering) Division Newsletter. As
Chair of the Division, I would like to
thank you for taking the time to read
about the latest CIE activities and
form an informed perspective of what
the next year will bring. I would also like to extend my
sincere appreciation to all CIE fellow members for their
contribution and dedicated services.
This newsletter is compiled in a manner that not only
presents our division‟s accomplishments during the
past year but also focuses on the future. For example,
in this issue we are presenting not only an extensive
review of this year‟s honors and awards and the 31st
CIE conference accomplishments, but also our plans for
the upcoming 32nd CIE conference and the new Book
series sponsored by CIE and ASME. This year, we also
present the research summaries of the work by the
stipend awardees. We hope you will enjoy reading the
material in this newsletter and we look forward to your
contributions for future newsletters. Remember that the
newsletter is a medium for exchanging your views and
information and we cannot accomplish this goal without
your help. We urge you to contribute to the newsletter.
Any suggestions as to how we can improve the quality
of the newsletter will be greatly appreciated.
Visit our division website for more information:
http://divisions.asme.org/cie/.
http://divisions.asme.org/CIE/ Summer 2012
Inside This Issue
Message from the Chair 1
Honors and Awards 2
Message from Past Chair 3
CIE 2011 Conference Report 4
Division Members Elected to Fellow Grade 5
Technical Committee Reports 6
Stipend Awardees Research Summary 11
The New CIE and ASME sponsored Book Series 17
Relevant Journals, Conferences and Workshops 19
Editorial 20
Photos from the 2011 Conference 21
C I E N E W S L E T T E R
Page 2
CIE Newsletter
Honors and Awards Our division‟s honors and awards were awarded, as
usual, during our annual conference the 31st CIE
conference that took place in Washington DC between
the 28th and 31st of August 2011.
This year the CIE Lifetime Achievement Award was
awarded to Dr. Charbel Farhat the Vivian Church Hoff
Professor of Aircraft Structures at Stanford University,
Chairman of the Department of Aeronautics and
Astronautics, Professor of Mechanical Engineering,
Professor in the Institute for Computational and
Mathematical Engineering, and Director of the Army
High Performance Computing Research.
The CIE Leadership Award was given to BVR Mohan
Reddy, Founder, Chairman and CEO of Infotech
Enterprises Ltd., in recognition of his outstanding
leadership in furthering the discipline of computers and
information in engineering.
The first ever CIE Excellence in Research Award was
awarded to Dr. Chris Paredis, Associate Professor in the
G.W. Woodruff School of Mechanical Engineering and
Associate Director of the Model-Based System
Engineering Center at Georgia Tech.
Charbel Farhat BVR Mohan Reddy
This year the CIE Young Engineer Award went to both
Dr. Gaurav Ameta, Assistant Professor in the School of
Mechanical and Materials Engineering at Washington
State University, and Dr. Abhishek Seth, Senior
Engineer, Research & Development in the Product
Development & Global Technology Division at
Caterpillar Inc, recognizing their ability and potential
for making significant contributions to the discipline of
computers and information in engineering.
Chris Paredis Gaurav Ameta
Abhishek Seth Yan Wang
The Distinguished Service Award was given to Dr. Ravi
Rangan, Chief Technical Officer and V.P. Client Services
and Emerging Applications Centric Software, Inc.
The Best of Conference Paper Award was awarded to Dr.
Yan Wang, Assistant Professor at Georgia tech for his
paper entitled “Controlled Kinetic Monte Carlo
Simulation of Nanomanufacturing Processes”
More information on these awards, and how to
nominate candidates, can be found on the CIE Division
web page under “Honors and Awards”.
CIE Newsletter
Page 3
Message from Past Chair Shuichi Fukuda
First of all, I would like to thank
every member of CIE Division for
your help and support during my
term as Division Chair (2010-2011)
from the very bottom of my heart. In
particular, my deepest thanks go to
CIE Executive Members and Technical
Committee Leaders.
During the time I served on the CIE Executive
Committee (ExComm), I witnessed the rapid growth of
CIE. I can understand why. It is because of people like
you who are dedicated and committed to the field we
could have many successful conferences, and enjoy our
rapid growth. Indeed, thanks to you, we could celebrate
an excellent 30th anniversary. I am fully convinced that
CIE will make a great step forward in the coming years.
Looking back at my tenure as a division chair, there are
a few issues I would like to discuss in this newsletter, as
I believe these issues are very significant not only for
CIE but also for ASME.
At the 2010 Montreal conference several of our
international participants could not attend due to visa
issues. In particular our Chinese colleagues could not
attend the conference. I understand that the Chinese
government told the participants that as the conference
is held in Canada, they need an invitation from a
Canadian organization, not from an American
organization. This situation was addressed in a timely
and appropriate manner at IMECE 2010, which was held
in Vancouver three months later. There were complete
instructions about invitation letters and visas. I believe
the lessons learned from our IDETC/CIE 2010 proved
invaluable.
As ASME is heading toward ASME International and the
ASME strategic plan for 2012 emphasizes global impact,
I sincerely hope that much more proactive measures will
be taken by ASME in the future. And we, CIE members,
should make every effort to remove any barriers for
international collaboration. This will be beneficial to all
of us. ASME should take the lead in globalizing
engineering, not only in mechanical engineering. I
understand that Americans are able to realize their
dream of prosperity and success through hard work and
innovation. I believe it is time now for ASME to make
this dream come true across national borders and
across disciplines.
Another point I would like to raise is the importance of
mechanical engineering. Advances in brain science have
recently revealed a very interesting fact -- analog
information plays a very important role in human
behavior, and emotion and reason are inseparable. We
should look at engineering from a holistic view, which
includes both the sublime and the real. Engineers
should be taught to address the emotional brain, along
with the logical brain. This reminds us of the fact that
mechanical engineering is none other than tangible
engineering. Mechanical Engineering is very closely
related with our body. In fact, if we integrate brain and
body, (and I should say emotion as well), then what we
call information in mechanical engineering would be
better phrased as wisdom rather than knowledge.
The oak tree is hard, but its branches are flexible. We
should keep our branches as flexible as possible so that
our oak tree will grow harder and taller. I know the
above may seem philosophical, but my six decades in
engineering has taught me that there is more to
engineering than solving problems in a logical manner.
Thank you once again for all your help and support. Let
us create our future.
Page 4
CIE Newsletter
CIE 2011 Conference Report John Michopoulos
The 31st CIE 2011 conference was
held for the first time in our nation‟s
capital the beautiful Washington,
DC. This year, 256 abstracts and
254 draft papers were submitted.
Throughout the 20 special topics
and symposia organized within the
purview of our four technical committees 184 papers
were finally accepted. The papers were presented in
over 42 excellent sessions. Despite the visit from
Hurricane Irene, and the air transportation disruption
that it caused the conference enjoyed an astonishingly
high rate of attendance.
In addition to serving as a platform for presenting
research results, the 31st CIE 2011 conference provided
an outstanding platform for networking and exchanging
ideas. This year we hosted four panels that reflect the
current trends in computing. The first two panels were
on “Energy Systems - Energy Efficient Manufacturing”,
with Kevin Lyons and Robert Ivester as organizers and
moderators, and Alex Folk – NIST ME – Green Supply
Network Khershed Cooper – NRL – UT Austin Fuel Cells,
Microlution (efficient machining system) WenWu Zhang
– GE – Intelligent Energy, Phil Kaufman – Rockwell
Automation – Energy Management Systems Jorge Arinez
– GM – Research Center, Energy Efficient Casting
factory, and Corey Kovalcik – National Center for
Defense Machining and Manufacturing (NCDMM)
Sustainable Aerospace Manufacturing Initiative (SAMI)
as panelists. The third panel on “Addressing the NAE
Grand Challenges through Research in CIE”, with Derek
Yip-Hoi, Krishnan Suresh, University of Wisconsin, Paul
Witherell, and Abhishek Seth as organizers, and
Nagendra Somanath, United Technologies, Christiaan J.
J. Paredis, Georgia Institute of Technology, Monica
Bordegoni, Politecnico di Milano, Judy M. Vance, Iowa
State University and Joshua D. Summers, Clemson
University as panelists. Finally, our last panel on
“Funding Opportunities for Research” organized and
moderated by Ram Sriram and John G. Michopoulos,
took advantage of Washington being the location of
many funding organizations. The panelists who
presented the funding portfolios of their respective
organizations were Vijay Srinivasan, NIST, Steven
McKnight, NSF, Todd Hughes, DARPA, Robert Neches,
OSD and Frederica Darema, AFOSR.
On the Sunday preceding the presentation sessions, CIE
members were initially offered the following tutorials
and workshops (with some of them being rescheduled
due to the hurricane): 1) “Mechanical Engineering
Design Knowledge Modeling” by David Rosen, Georgia
Institute of Technology and Joshua D. Summers,
Clemson University 2) “Sustainable Manufacturing:
Information Modeling for Sustainable Manufacturing
Standards, Methodologies and Practices” by Sudarsan
Rachuri, Anantha Narayanan, Paul Witherell, Kevin
Lyons, Mahesh Mani, Guodong Shao, from National
Institute of Standards and Technology, 3) “Teraflop
Parallel Computing on a Budget: Applications of
Graphics Processing Unit (GPU) Computing in
Mechanical Engineering” by Dan Negrut, Krishnan
Suresh, from University of Wisconsin, Madison, Sara
McMains from UC Berkeley, and Athanasios Iliopoulos
from SAIC resident at NRL.
The CIE luncheon was held on Tuesday, August 30,
2011, where most of our awards were awarded. The
division‟s highest award the Lifetime Achievement
Award was awarder to Dr. Charbel Farhat of Stanford
University, Vivian Church Hoff Professor of Aircraft
Structures, Chairman of the Department of Aeronautics
and Astronautics Professor of Mechanical Engineering,
Professor in the Institute for Computational and
CIE Newsletter
Page 5
Mathematical Engineering Director of the Army High
Performance Computing Research and Recipient of
numerous International and National Awards. The CIE
Leadership award was awarded to BVR Mohan Reddy,
Founder, Chairman and CEO of Infotech Enterprises
Ltd., Executive Council Member of the National
Association of Software Services Companies, 2011
Distinguished Alumnus Award, IIT Kanpur, 2011
Businessman of the Year Award, and ZEE Television
Media Network. This was the first year the division
bestowed the CIE Excellence in Research Award to Dr.
Chris Paredis, Associate Professor, Georgia Tech School
of Mechanical Engineering, Associate Director, Georgia
Tech Model-Based System Engineering Center. The
Young Engineer Award was awarded to two young
engineers this year, Dr. Gaurav Ameta, Assistant
Professor School of Mechanical and Materials
Engineering, Washington State University and Dr.
Abhishek Seth, Senior Engineer, Research &
Development in the Product Development & Global
Technology Division at Caterpillar Inc. The best of
conference paper award for this year was awarded to
Dr. Yan Wang, Assistant Professor of Mechanical
Engineering at Georgia Tech for the paper DETC2011-
48570, titled “Controlled Kinetic Monte Carlo
Simulation of Nanomanufacturing Processes”. Finally,
the CIE Distinguished Service Award was awarded to Dr.
Ravi Rangan and the Service award for his tenure as
Chair of the CIE Division Executive Committee, 2010-
2011 was bestowed to Dr. Shuichi Fukuda. The
ceremony for the CIE division members elected to
Fellow grade, Dr. Ravi M. Rangan and Dr. Richard
Crawford, concluded the awards section of the
luncheon.
Following the award ceremony, Prof. Charbel Farhat of
Stanford University delivered CIE‟s keynote presentation
entitled “Game-Changing Computational Engineering
Technology”. His presentation and talk were both
enlightening and entertaining as he colorfully
demonstrated advanced modeling ad simulation of fluid
structure interaction problems scaling from iPhone to
high performance computing resources.
On Tuesday evening after the regular session program,
the 31st CIE reception was held along with Graduate
Research Poster Session. We are indebted to the
National Institute of Standards and Technology for
providing travel support for several graduate students
to present their posters.
The 32nd CIE 2012 conference will be held in Chicago,
IL from August 12 to 15. We look forward meeting you
there.
Division Members Elected to Fellow Grade
Ravi Rangan
Dr. Rangan directed and provided
market, industry and ASME
CIE/EDBP leadership in the area of
engineering information
management and product lifecycle
management. He was a founding
Associate Editor of ASME JCISE.
Recipient of 1990 CIE/EDBP best
paper award; engineering information management
consulting at IBM, USAF, Chrysler, Xerox, Goodyear; at
Boeing DCAC/MRM was the implementation architect
for Metaphase PLM; appointed SDRC Experteam
Corporate Director for PLM; co-Founder of Product
Sight Corporation to innovate and rapidly deploy
affordable PLM systems to several automotive,
aerospace and industrial companies. Currently
delivering PLM to markets such as consumer goods,
fashion and luxury as CTO of Centric Software, Inc.
Ph.D. (1990) Georgia Institute of Technology;
Distinguished Alumni.
Page 6
CIE Newsletter
Richard H. Crawford
Dr. Crawford has generated new
technologies and shared knowledge
with the community while
simultaneously pursuing novel ways
to educate both his own students
and future university students. His
contributions to the field of layered
manufacturing, including computational support tools,
have been significant. Moreover, his efforts in
developing world class educational and outreach
programs for K-12 education have been truly
transformative. Dr. Crawford has led through action and
has shown others how research and teaching can best
complement each other for the good of society.
Ph.D. (1989), Purdue University.
Technical Committee Reports
Advanced Modeling and Simulation (AM&S)
Krishnan Suresh
Advanced Modeling and Simulation sessions covered a
broad range of topics ranging from computational
multi-physics to GPU computing. New topics this year
included „Symbolic computing‟, „Bio-modeling‟ and
„Meshless methods‟. In this rapidly developing field of
modeling and simulation, AMS provides a platform for
engineers to showcase their cutting-edge research, and
learn about new algorithms, formulations,
computational architecture and applications. At this
2011 conference in Washington, DC, the AMS technical
committee sponsored the following sessions, with
specific objective in mind
AMS Technical Sessions
1. AMS General: A broad range of topics on modeling
of simulation, especially those not included in the
special sessions below.
2. Energy Systems: Papers solicited include alternative
and sustainable forms of energy systems with
special focus on the design and development of
technological problems using modeling,
calculations, analysis and/or experiments.
3. Modeling and Simulation in Biomechanics: Key
objectives are to reflect the many advances that are
presently taking place in Modeling and Simulation in
Musculoskeletal Biomechanics
4. Inverse Problems: Inverse problems of interest
include shape design, material properties and
constitutive response determination, boundary
values/initial value identification, force & source
determination, governing equation inference
5. Computational Multi-physics: Of interest are
numerical simulation of multi-physics problems
that involve multiple fields, scales and domains
requires development of sophisticated models and
methods for their integration, as well as efficient
numerical algorithms and advanced computational
techniques.
6. GPU-Computing: Contributions that demonstrate
the use of GPU-based high-performance computing
to catalyze innovation and promote discovery in
various fields including CAD, CAE, CAM, CFD, Life-
sciences, etc.
7. Material Characterization: This symposium aims at
inviting researchers engaged in a wide range of
material characterization issues including the
development of methods and their applications and
advancing material characterization for high-
performance simulation
8. Symbolic Computation: This topic is intended to
discuss recent theoretical and practical
developments in application of symbolic computing
on various engineering disciplines.
9. Modeling of Corrosion: This special session seeks
papers on all aspects of corrosion including, but not
limited to electrochemical corrosion including
CIE Newsletter
Page 7
electrolyte effect, linking of computational modeling
across scales, pitting initiation, evolution and
transition to cracking, biomedical device corrosion,
etc.
10. Meshless Methods: Topics of interest include radial
basis functions, moving least squares, the h-p
cloud method, smooth particle hydrodynamics,
element free-Galerkin, local Petrov-Galerkin,
boundary element methods, etc.
AMS GPU Workshop
This workshop provided a GPU computing how-to
tutorial that was augmented with a hands-on GPU
programming session. The participants had the
opportunity to use their laptops to remotely log into a
GPU cluster and understand through concrete hands-on
examples some of the concepts covered in the first part
of the workshop. The workshop concluded with a
discussion of optimization techniques for effective GPU
computing and an overview of research that has
benefited from the computational power available on
today‟s commodity GPU cards.
AMS Paper Awards:
The CIE best paper award was from AMS: DETC2011-
48570: Controlled Kinetic Monte Carlo Simulation of
Nanomanufacturing Processes, Yan Wang, Georgia Tech.
In addition, we also awarded the AMS Best Paper to:
DETC2011-47652: Application of a Bayesian Filter to
Estimate Unknown Heat Fluxes in a Natural Convection,
Marcelo J. Colaco, et al.
AMS TC Leadership
Chair: Brian Dennis, University of Texas, Arlington,
Co-Chair: Krishnan Suresh, University of Wisconsin,
Madison, [email protected]
Vice Chair: Yan Wang, Georgia Institute of Technology,
Secretary: Mahesh Mani, NIST, [email protected]
Computer-aided Product and Process Development (CAPPD)
Derek Yip-Hoi
At this year‟s conference, the CAPPD technical
committee sponsored four conference tracks including
co-sponsorship of a panel session with the other CIE
technical committees. In all, this included 50 papers
spread over 11 sessions. Topics included traditional
areas of interest in CAPPD such as Geometric Modeling,
CAD, Parametric Modeling, Knowledge and Information
Modeling and Tolerance Analysis. In addition,
continuing a recent trend, three sessions in Emotional
Engineering and three in Modeling Tools and Metrics for
Sustainable Manufacturing were also sponsored.
This year's CAPPD Chair's session organized by Dr.
Cameron Turner focused on Modeling and
Metamodeling under Uncertainty. Several of the papers
in the session focused on issues of generating models
and metamodels in probabilistic environments; or on
the associated issues of design optimization where the
uncertainty in the response must also be managed.
Integrated into these talks were several novel
optimization approaches that seek to manage the
complexity of the design space through novel
applications of computational technologies. One
optimization approach used graph theory to identify
robust optimal solutions, while another used the
biological analogy of fireflies to generate Pareto
Optimal solutions. These approaches offer avenues that
may lead to solutions of interest in both product and
process design problems. Attendance to the session
was excellent, with standing room only in the room for
numerous papers and a vigorous discussion of the
research presented continued after the session in the
hallways.
A panel session co-sponsored by the division‟s four
technical committees focused on highlighting the
impact of the division‟s work on pursuing solutions to
the fourteen grand challenges or our time identified by
the National Academy of Engineering. This session was
motivated by ASME‟s desire to better understand how
its division‟s work is relevant to these important
societal problems. Four panelists, one invited by each of
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CIE Newsletter
the committees presented their comments, followed by
an open discussion with the session attendees. The
panelists were, Dr. Nagendra Somanath, United
Technologies (AMS), Dr. Chris Paredis, Georgia Institute
of Technology (SEIKM), Dr. Monica Bordegoni,
Politecnico di Milano (VES), and Dr. Joshua Summers,
Clemson University (CAPPD). An important observation
made was that CIE-type R&D could be understood as a
powerful enabler to most if not all the challenges,
including those where at first glance, a direct
connection is not be obvious. Recommendations for
future initiatives to highlight this link, included,
presenting an award for research in the division that
best demonstrated an impact in solving any of the
challenges.
CIE Participation
Though the number of tracks was down from 2010
(partly due to consolidation of sessions), the number of
papers accepted was slightly higher (50 versus 48).
Attendance at sessions was only minimally impacted by
travel disruptions caused by Hurricane Irene. The few
late arrivals were accommodated in sessions with space.
The conference organizers are to be commended in
their efforts to ensure that delayed authors had an
opportunity to present their work.
Awards
Recognized this year as the Prakash Krishnaswami
Computer-Aided Product and Process Development
Technical Committee Best Paper Award was “Self-
Intersection Free and Topologically Faithful Slicing of
Implicit Solid” (DETC2011-47661) by Pu Huang (CUHK),
Charlie Wang (CUHK) and Yong Chen (USC).
2011 Best Paper Recipients Pu Huang and Charlie Wang
Receive their Award from CAPPD Chair Derek Yip-Hoi
This year‟s CAPPD Leadership and Service award was
presented to Dr. Cameron Turner from the Colorado
School of Mines. Dr. Turner has been a regular
contributor to and reviewer for CAPPD sponsored
sessions at the CIE conference over the past decade. He
recently completed his tenure as chair of the technical
committee and as a past chair remains involved in
mentoring the new leadership and assisting in
promoting achievements within the committee through
division level award nominations.
The CAPPD technical committee continued this year
with the planning of the CIE Division Graduate Student
Poster Session for the conference. As with previous
years this was a great success. A total of 29 posters
were submitted representing 14 universities. The
Manufacturing Systems Integration Division at National
Institute of Standards and Technology with the backing
of Ram Sriram and Vijay Srinivasan was again able to
provide travel awards of $1000 a piece to five students
selected for the excellent quality of the work they
submitted. The CAPPD technical committee wishes to
express our kind appreciation for their continued
support of this important activity that helps promote
the research of aspiring academics in the CIE division.
In addition, three additional stipends of $500 a piece
were also sponsored from the operating budget of the
CAPPD committee. A full listing of the award recipients
and their research poster titles is as follows:
NIST Awards:
Bryant Hawthorne (Washington State University),
Towards and Effort Model for Simulation-Based
Design
David Jensen (Oregon State University), Exploring
the Failure Space to Achieve State System Design
Edgar Galvan (Texas A&M), Building Knowledge
Representation and Reasoning Models for Complex
System Design
Olufunmilola Atilola, The Role of Human Cognitive
Science in Engineering Design and Decision Making
Eric Owensby (Clemson), Automation of Connectivity
Complexity Metric Design for Assembly Method
CIE Newsletter
Page 9
Vijay Srinivasan from NIST Presents Eric Owensby of
Clemson University his NIST Award
CIE-CAPPD Stipends
Chuck Hsiao (Texas A&M), A Utility-Based Decision
Methodology for Large Systems Engineering Projects
Using Empirically-Derived Risk Indicators
Douglas Van Bossuyt (Oregon State University),
Computer-Aided Risk-Based Complex Conceptual
System Design and Decision-Making
Jin Jian (Hong Kong Polytechnic University),
Information Mining from online Reviews for
Engineering Design
TC Leadership
Chair: Charlie Wang, Chinese University of Hong Kong,
Vice Chair: Jitesh Panchal, Washington State University,
Secretary: Gaurav Ameta, Washington State University,
Past Chair: Derek Yip-Hoi, Western Washington
University, [email protected]
Virtual Environments & Systems (VES)
Abhishek Seth
The Virtual Environment & Systems (VES) technical area
hosted 20 presentations which were conducted in 4
sessions, ranging from new methods for virtual and
augmented reality, applications in design decision
making, maintenance and service assessments to haptic
interfaces. The VES paper award was given to the paper
"Gpu-Based Haptic Simulator For Dental Bone Drilling"
by Zheng, F. et al. from National University of
Singapore. In addition to the VES Symposium, the
Virtual Environments & Systems Technical Committee
helped organize the Virtual & Augmented Reality Track
at the 2012 ASME International Symposium on Flexible
Automation held in St. Louis, Missouri.
TC Leadership
Chair: Dr. Abhishek Seth ([email protected])
Co-Chair: Sven Kreft ([email protected]
paderborn.de)
TC CIE Program Chair: Dr. Monica Bordegoni
Secretary: Dr. Hai Jun Su ([email protected])
Past Chair: Dr. Jan Berssenbruegge
Systems Engineering, Information and Knowledge Management (SEIKM)
Richard Malak
Trends
A key trend in the Systems Engineering, Information,
and Knowledge Management (SEIKM) community is
increasing interest in problems relating to engineering
problems of large size and/or complexity. This is
reflected in two special technical symposiums
sponsored by the SEIKM Technical Committee at the
2011 CIE conference in Washington, DC: Design
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CIE Newsletter
Informatics and Advances in the Engineering of
Complex and Large Scale Systems. Although the SEIKM
community long has been interested in dealing with the
complexities of systems development, these special
technical symposiums are indicative of a greater
emphasis on studying what happens as problem size or
complexity grows and on discovering how to deal with
this growth practically.
The 2011 conference marked the second year for the
Design Informatics special symposium, which focuses
on challenges associated with understanding large
amounts of dynamic information in engineering
projects. This topic has drawn significant interest (nine
papers were presented at the 2011 conference). The
SEIKM TC has elevated it to a permanent topic area
beginning with the 2012 CIE conference in Chicago, IL.
The Advances in the Engineering of Complex and Large
Scale Systems special symposium was held for the first
time at the 2011 CIE conference and drew significant
interest, with five papers being presented. The aim of
the special symposium was to provide a venue for work
that addresses large scale systems design problems
that otherwise might be scattered across many
conference sessions. The symposium included research
that ranged from understanding complexity in adaptive
systems to methods for abstracting information and
knowledge in order to reduce design project
complexity.
In recognition of the current research trend in large
scale systems problems, the SEIKM TC will sponsor two
special symposiums for the 2012 CIE conference:
“Model-based Design and Verification of Complex and
Large-Scale Systems” and “Dynamic Enterprise
Architecture.” The first of these represents a follow up
to the special symposium on large-scale systems held
in 2011. The second has a specific focus on the
dynamic nature of engineering enterprises. This
symposium will involve an expert panel discussion as
well as a technical session.
Cohesion
In an age of information and information technology,
the goals of SEIKM have inevitably aligned with various
focus areas of other TCs. At the CIE conference, this
alignment is evident through the numerous information
and knowledge management related sessions hosted by
the other TCs. This underscores the importance of
SEIKM‟s mission and goals.
CIE Participation
Participating in any ASME-sponsored event provides
great opportunities for networking amongst students
and both industrial and academic colleagues. Each year
the CIE conference provides a scholastic environment
for participants to learn about computer and
information-based research. Receptions held every
year provide a casual atmosphere for networking. This
past year‟s CIE conference included a panel session
dedicated to discussing how to acquire government
funding, with representative from several government
agencies. The experience and camaraderie attained
through these conferences is crucial to growing as a
scientist and researcher.
TC Leadership
Chair: Richard Malak ([email protected])
TC CIE Program Chair: Ying Liu ([email protected])
Secretary: Chris Hoyle ([email protected])
Ex officio/Awards: Paul Witherell
Review Coordinators: Farhad Ameri , Matt Bohm, Paul
Witherell, Chris Paredis, Greg Mocko, Chris Hoyle,
Marija Jannkovic, Anantha Narayanan, Bipin Chadha,
JaeHyun Lee
Industry Liaisons: Mark Jennings, Ravi Rangan
International Liaison: Hyowon Suh, Richard Crowder
Student/Early Career: Robert Stone
Workshop Coordination: Chris Paredis
CIE Newsletter
Page 11
Research Perspectives Stipend Awardees Research Summary
1. Effort Model for Simulation-Based Design
Bryant Hawthorne, [email protected]; Advisor: Jitesh H. Panchal, Assistant Professor
School of Mechanical and Materials Engineering, Washington State University
Biography: Bryant Hawthorne is
currently a Master‟s Student at
Washington State University. Bryant
received his undergraduate degree in
Astrophysics at Washington State
University in 2009, minoring in
mathematics, astronomy and
marketing. After completing his program, Bryant will
most likely pursue his Doctorate Degree in Mechanical
Engineering. Bryant is a member of ASME and AIAA.
His current research interests include creating an effort
model for simulation-based design and also the design
of energy policy.
Overview: In design, engineers are faced with many
hard decisions typically under vast uncertainty. As
technology advances Computer Aided Design (CAD) and
other Simulation-Based Design (SBD) techniques are
becoming more prevalent in order to assist with these
decisions. However, to obtain a model that reduces
sizeable uncertainties the model must either be derived
from scratch or a considerable amount of effort needs
to be put forth towards a preexisting model. In many
cases this effort is not worth the utility and the
preexisting models used are unchanged along with the
uncertainties. Therefore, it is important to be able to
determine the effort required in Simulation-Based
Design before the modeling activities begin. This result
will allow the designer to know what levels of effort are
needed to begin receiving a positive utility of
uncertainty mitigation. We propose the first step of this
challenge and suggest a method for obtaining an effort
model for Simulation-Based Design formulated from
preexisting cost models such as COCOMO II and
COSYSMO. Although this is a work in progress much of
the groundwork for this topic has been laid out.
2. Exploring the Failure Space to Achieve Safe System Design
David C. Jensen, [email protected]; Advisor: Irem Y. Tumer, Associate Professor
School of Mechanical, Industrial, and Manufacturing Engineering, Oregon State University
Biography: David Jensen is a PhD student
and research assistant at Oregon State
University. He earned both a Bachelor
and Master of Science from Oregon State
University in Mechanical Engineering in
2008 and 2009 respectively. His
research to date has focused on
function-based failure simulation and analysis. He has
worked as an intern in the Intelligent System Division at
NASA Ames Research Center and as a researcher at
Aalto University in Helsinki, Finland. Previous work in
complex software-hardware product design and testing
has provided him with a background and interest in
failure identification and mitigation. His research has
been published in the ASME International Mechanical
Engineering Congress and Expo and International
Design Engineering Technical Conferences, the IEEE
Aerospace Conference and Prognostics and Health
Management Society Conference.
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CIE Newsletter
Overview: The focus on this work is generating a failure
space representation of a design and utilizing features
of this failure space to reason about the risk of complex
interacting fault modes. The failure space is a mixed
multigraph composed of fault mode nodes and arc
identified by functional impact and causality. The fault
modes are defined using both a top-down and bottom-
up approach and function failure analysis simulation is
used to identify functional impact and causality. Finally,
using some principles from graph theory the nodes in
this failure space can be evaluated for “relatedness”
indicating complex fault interactions. It is the
hypothesis of this work that design changes that lead to
decoupling these fault modes will lead to safer and
more reliable systems. The overall goal of this work is
to reduce complex fault interactions in cyber-physical
systems.
3. Building Knowledge Representation and Reasoning Models for Complex System Design Problems
Edgar Galvan, [email protected]; Advisor: Richard Malak, Assistant Professor
Mechanical Engineering, Texas A&M University
Biography: Edgar Galvan received his
undergraduate degree in mechanical
engineering from Texas A&M
University. Edgar is currently pursuing
a master‟s degree in engineering
focusing on mechanical design also
from Texas A&M University. His current research
focuses on developing techniques to aid in the design
of complex engineering systems. More specifically, he is
working to improve knowledge representation and
transfer among designers using knowledge-based
systems.
Overview: The focus of this research is on building
knowledge representation and reasoning models to aid
in the design of complex systems. The design of
complex systems can involve a mixed combinatorial-
continuous search though several subsystem designs in
order to achieve desirable system-level characteristics.
This yields a challenging search problem though a
heterogeneous and discontinuous design space. System
decomposition helps alleviate this by separating the
design problem into a set of simpler problems that can
be solved concurrently. However, this poses a new
issue: coordinating the decomposed problem such that
the desired system-level characteristics are still
achieved. We propose that knowledge representation
models can used to alleviate this problem.
4. The Role of Human Cognitive Science in Engineering Design and Decision Making Processes
Olufunmilola Atilola, [email protected]; Advisor: Dr. Julie Linsey, Assistant Professor
Department of Mechanical Engineering, Texas A&M University
Biography: Olufunmilola “Funmi”
Atilola is a graduate student in the
Mechanical Engineering department at
Texas A&M University. She completed
her undergraduate studies in
mechanical engineering at the Georgia
Institute of Technology in Atlanta, Georgia in May 2007.
She then earned a Masters degree, also in mechanical
engineering, from the University of South Carolina, in
Columbia SC in December 2008. At USC, she performed
research on reducing noise and vibration in epicyclic
spur gear trains in a research project sponsored by
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Page 13
Apex Tool Group (formerly Cooper Power Tools). She
published a thesis titled "Design and Noise Reduction of
Spur Gear Systems". She worked as an Associate
Engineer in the Operations Engineering Department of
the South Carolina Department of Health and
Environmental Control until August 2010. Funmi is
currently pursuing a PhD in mechanical engineering
where she is working on developing new design
decision methods by applying human cognitive and
reasoning models.
Overview: Decision making in engineering design is
important and relevant to all disciplines of engineering.
The ability to make robust and intelligent design
decisions in the midst of uncertainty and risk has
increasingly been emphasized in engineering academia
and industry. Currently, there are many approaches to
engineering design and decision making, some of which
include: Quality Functional Deployment (QFD), Pugh
Charts, and Decision Based Design (DBD). These
approaches and existing literature however do not
account for the way that people actually think, the
natural biases that people face and the natural irrational
decision making mechanism, they therefore do not fit
well with human cognitive processes. These approaches
are methodologies, not theories, and while they
sometimes work, they have no real mathematical
foundation and simply provide step-oriented design
activities, rules and guidelines to come up with a design
solution. A literature review will be performed to
identify cognitive biases that affect decision making.
Controlled experiments to further understand these
biases on engineers will be done in an engineering
setting, existing engineering design methods will also
be applied and tested for comparison. By taking into
account these biases and how they relate to engineers
and engineering decision making, new principles and
methods for engineering decision making processes can
be developed.
5. Automation of Connectivity Complexity Metric Design for Assembly Method
J. Eric Owensby, [email protected]; Advisor: Dr. Joshua D. Summers, Associate Professor
Department of Mechanical Engineering, Clemson University
Biography: J. Eric Owensby graduated
from Clemson University with his BS
and MS degrees in Mechanical
Engineering in 2010 and 2012
respectively. He is currently a design
engineer for Automation Engineering
Company in Greenville, SC. His
research focused on developing design automation
tools for mechanical engineers, specifically creating a
new assembly time estimation tool within SolidWorks
that uses the designer defined assembly mates and
constraints. His work has been presented at the 2011
and 2012 ASME IDETC/CIE Conferences. He served as a
teaching assistant in the Department of Mechanical
Engineering for the sophomore labs in addition to
working on industry-sponsored projects, such as the
tent ballast test apparatus and resistance coefficient
testing for IFAI. While in graduate school, Mr. Owensby
volunteered his time at local elementary schools and for
several Cub, Boy, and Girl Scout activities in the CEDAR
lab.
Overview: The purpose of this research is to further
develop and integrate an objective and quantitative
connectivity complexity based design for assembly
(DFA) method into 3-D solid modeling software to
predict assembly times and to identify target areas for
design improvement.
Current DFA methods have been proven to successfully
predict assembly times, predict assembly cost, identify
areas of design improvement, reduce part count, reduce
mass, and to reduce product cost. These same DFA
methods have been used throughout industry to reduce
product cost but they still have their limitations and
drawbacks. DFA methods tend to be tedious and time
consuming requiring designers to enter extensive
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CIE Newsletter
amounts of information to complete the analysis.
Current DFA research often focuses on implementing
DFA methods through CAD packages to reduce the
volume of input information required by the designer
and to improve the consistency of the analysis. The
difficulty with the development and integration of these
methods into CAD software is that completing theses
existing analyses requires a combination of objective
and subjective information that is difficult if not
impossible to program. If programs and software
cannot be developed to extract the required information
to complete DFA analysis then extra information will
always be required from the designer to complete the
analysis. Until DFA methods are easy to implement they
will often be neglected by designers and the potential
benefits of the analysis will not be achieved.
These issues suggest the need for a DFA method that
requires limited amounts of objective information to
complete the analysis so that it can be fully automated.
This need is addressed by a DFA method that uses the
connections between parts within an assembly to
predict the assembly time through complexity metrics.
To complete a DFA analysis using this method the
designer must identify which other components a part
is connected to and the type of connection. This allows
the designer to objectively determine which parts the
part in question touches by answering a simple yes or
no question. This information is currently tracked in a
bi-partite graph so that it can be processed by a custom
computer algorithm.
The primary focus of this research is to validate and
automate the connectivity complexity DFA method by
implementing it through 3-D solid modeling software
so that designers can easily predict assembly times,
assembly costs, and be provided with suggestions for
re-designs in real time. This will make DFA analysis a
concurrent tool so that it can be implemented
throughout the design process starting in the
conceptual level where specifics about the parts
geometry are un-known and the connections between
parts are known. This approach will be integrated into
solid modeling software, such as SolidWorks, using the
software‟s Application Programming Interfaces (API).
Our vision is that designers can perform a new analysis
by clicking a button on their CAD graphical user
interface (GUI) instead of opening separate software.
This DFA analysis will not require extra input
information from the designer, so completing the
analysis will be quick, easy, repeatable, and consistent
between designers.
This research will benefit designers by providing them
with an effective DFA method that can provide analysis
results by the click of a button. This analysis will be
executable before the final geometries of the parts are
known as it only relies on connections between the
parts (connectivity graphs or liaison tables). This will
allow design groups to conduct DFA analysis in real
time as they complete their projects. Traditional DFA
methods are often conducted on final designs once all
aspects have been fully defined. This limits their
applicability to design groups however the connectivity
complexity DFA method only needs connections
between parts and not geometries so it can be
completed throughout the process.
6. A Utility-Based Decision Methodology for Large Systems Engineering Projects using Empirically-
Derived Risk Indicators
Chuck Hsiao, [email protected]; Advisor: Richard Malak, Assistant Professor
Mechanical Engineering, Texas A&M University
Biography: Chuck Hsiao received
his B.S. in Mechanical Engineering
from Caltech. He then worked at a
major OEM manufacturer of LCD TVs/monitors for over
three years, first as an inspection equipment engineer,
then as an integration engineer. He then got his M.S. in
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Page 15
Mechanical Engineering (Controls) from UCLA, and now
in the Ph.D. program in Mechanical Engineering
(Design). His research interests are in the design
process of large, complex organizations.
Overview: The goal of this research is to refine and
validate a decision methodology for large systems
engineering projects using past empirical data to
generate a quantitative model of project-level risk
indicators and their effects on project and artifact
performance. The methodology will be most applicable
to engineering organizations that maintain an archive of
past projects containing suitable information on project
specifics. It will allow such organizations to make
project decisions based on knowledge gleaned from
past decisions and how they affected project and
artifact performance. The methodology will use risk
indicators, which is a set of project circumstances that
can be correlated with risk, defined as a state of
uncertainty where some of the possible outcomes have
an undesirable effect. A quantitative model relating risk
indicators, actions taken to address them, and the
eventual project outcomes will be made, by first
eliciting possible risk indicators from interviews, and
then determining the correlation between the risk
indicators and project outcomes by using database
information from a large design organization. A utility-
based decision-making scheme based on different risk
indicators, possible actions to address them, expected
outcomes of each action, and preferences for each
outcome will be created, allowing for decisions that are
based on quantitative analysis rather than intuition and
experience alone.
7. Computer-Aided Risk-Based Complex Conceptual System Design and Decision-Making
Douglas Van Bossuyt, [email protected]; Advisor: Irem Y. Tumer, Associate Professor
Department of Mechanical, Industrial, and Manufacturing Engineering, Oregon State University
Biography: Douglas completed his
undergraduate at Oregon State
University where he double majored in
mechanical engineering and
international studies with a minor in
business. He studied for a year at the
University of Manar in Tunis, Tunisia
and conducted humanoid robotics research at the
University of Karlsruhe in Karlsruhe, Germany. During
his undergraduate, he held several internships at a
variety companies including Planar Systems,
Freightliner, Rosendin Electric, and ElectroScientific
Industries where he now holds a patent. Professional
memberships include ASME, EWB-USA, PADI, and AAUS.
Douglas maintains research interests in complex
conceptual system design, risk and reliability
engineering, risk appetite research, and manned
spaceflight. Other interests include motorcycle fuel
injection conversion, humanoid robotics, social media,
and scuba diving.
Overview: Complex systems are all around us.
Everything from automobiles to computers to
refrigerators to satellites can be classified as complex
systems. In order to design the multitude of today's
complex systems, complex engineering design
methodologies have been developed. These methods
span from early-phase conceptual system development
through detailed design, construction, and deployment,
all of which falls under the umbrella of systems
engineering. This research focuses on the conceptual
complex system design phase. Specific focus is placed
upon novel computer-aided methods of accounting for
and using risk information to improve the quality of
conceptual complex system designs and make decisions
based upon those designs. Methods of incorporating
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CIE Newsletter
risk methods into trade studies and risk appetites into risk methods are currently being developed.
8. Information Mining from Online Reviews for Engineering Design
Jian Jin, [email protected]; Advisors: Ping Ji, Associate Professor The Hong Kong Polytechnic University
Ying Liu, Assistant Processor (NUS) Department of Industrial and Systems Engineering
Biography: Jian Jin is currently a
PhD candidate of the Department
of Industrial and Systems
Engineering in the Hong Kong
Polytechnic University, supervised
by Dr Ping Ji. Jian received his
M.Phil. degree from the
Department of Computer Science in Xi‟an Jiaotong
University in 2007 and B.Eng. degree from the
Department of Information Engineering in Northeast
Dianli University in 2004. His research interests mainly
focus on Opinion Mining and Product Design
Overview: Online review, as an important type of word
of mouth (WOM) or voice of the customer (VOC), is
becoming extremely popular for consumers to share
their experiences, preferences or concerns on specific
product. Both potential customers and product
designers could gain crucial insights from the analysis
of online reviews. However, it is impossible to digest all
of them due to a large amount of online reviews
distribute in different e-commerce websites. While the
importance and value of online customer opinions are
well perceived, the idea of intelligent processing of
online reviews and their relationship to design
community as well as industry scenarios, has not been
fully studied before. Several challenges do exist if these
valuable online reviews are expected to be utilized in
industry. For example, in order to achieve maximum
degree of customer satisfaction, the quality based
ranking from product designer‟s perspective should be
present for online reviews in the linking procedure. In
order to fulfill this gap, we aim to outline an intelligent
system that is able to gather, parse, and analyze online
reviews and, eventually, notable potentials relating with
customer satisfaction are automatically exploited by
such intelligent system for product designers. The
intelligent system starts from crawling global online
reviews with respect to certain products interested.
These product features and customer requirements are
then identified from these reviews. The objective that
we propose this intelligent system is to facilitate
product designer‟s work by processing these online
reviews when they are conceiving new products. Thus
these customer requirements, extracted from online
reviews, are linked to the product‟s engineering
characteristics through quality function deployment
(QFD), which is a widely used tool by product designers
in the customer-driven design paradigm. A knowledge
mapping needs to be learned from the design
knowledge repository to indicate the relations between
the features identified and their corresponding product
engineering requirements. Solving these problems
properly and building a QFD model for different
comparable products provides sufficient interesting
information to represent the “Big Picture” of the product
or the potential design scheme and offer a unique
opportunity for further statistical study on customer
behaviors and market trends. As a promising study, we
believe that this research will greatly help designers in
the era of global competition and e-commerce.
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The New CIE and ASME sponsored Book Series on the Advances of Computers and
Information in Engineering Research (ACIER).
John Michopoulos
This year marks the beginning of a
new initiative that is meant to be the
second major activity after the annual
conference, in terms of CIE‟s legacy
and leadership. The CIE-excomm has
approved a proposal to form an
editorial board that will be tasked to
produce a book series on the Advances of Computers
and Information in Engineering Research (ACIER). The
founding editorial board consists of four individuals
aligned according to each of the technical committees
of CIE. They are John Michopoulos for AMS, Chris
Paredis for SEIKM, David Rosen for CAPPD and Judy
Vance for VES.
This series intends to collect and publish cutting
advances in the CIE technical areas that describe
progress in the last three to five years. The chapters
authored by exceptional researchers will be published
both in hard-copy and electronic forms.
As an ASME volunteer organization, CIE is governed by
the rules of the ASME and therefore the default
publishing house for such an effort will be ASME Press.
The content collection, management, and live
distribution will be achieved by a custom developed
content management web based system customized
and developed by CIE volunteers and can be found at
http://cie-advances.asme.org where all details are
available.
The call for chapter proposals is active as of June 20,
2012 with a closing date August 31, 2012 and is also
presented here.
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CIE Newsletter
Series Objectives & Mission: This book series aims to
capture advances in computers and information in
engineering research, especially by researchers and
members of ASME's Computers & Information in
Engineering (CIE) Division. The books will be published
in both traditional and e-book forms. The contributions
in this series are expected to also serve as tools that
will enable the readers to not only read but also to
experience the fruits of authors' research by
providing software or animations or videos, the will be
hosted on the deployment web site of ACIER.
Audience: The intended audience is primarily the
academic, governmental and industrial mechanical
engineering and computational science communities
interested in recent research advances as they relate to
computational and information technologies associated
with engineering design along with product and process
development.
Thematic Content: The series will focus on advances in
computational methods, algorithms, tools, and
processes on the cutting edge of research and
development as they have been reported during the last
five annual CIE conferences. The series will provide a
resource for enhancing engineering practice by enabling
the understanding and the application of evolving and
emerging technologies that impact critical engineering
issues related to the topics and themes under CIE‟s
technical committees areas of interest (but not limited
to) as shown in the table below:
Important Dates
Manuscript proposal for book chapter (1-3 pages): August 31, 2012
Notification to authors of submitted chapters: October 15, 2012
First Draft of the chapters from authors: April 15, 2013
Reviews back to authors: July 30, 2013
Revised Chapters back from authors: August 30, 2013
Final notification to the authors: September 25, 2013
Final chapters from authors: October 15, 2013
To submit a chapter proposal visit: http://cie-advances.asme.org/
CIE Newsletter
Page 19
Relevant Journals, Conferences & Workshops
Showcase your research as part of an extensive technical program with international scientists and engineers from
the worldwide R&D community. More information at: http://www.asmeconferences.org/congress2012/
JOURNAL OF COMPUTING AND
INFORMATION SCIENCE IN
ENGINEERING
The purpose of the Journal of Computing and
Information Science in Engineering is to publish
archival research results and advanced technical
applications in computing techniques and tools,
information issues of representation, exchange,
management and integration related to the entire
engineering product and process life-cycle. Specific
topic areas include Internet-Aided Design;
Manufacturing and Commerce; Virtual Environments
and Systems; Rapid prototyping; Information models
and ontologies for engineering applications;
PDM/Enterprise Information management;
AI/Knowledge Intensive CAD/CAM; Engineering
Simulation and Visualization Technologies; Emerging
Computing Technologies; Computers in Education
(technology aspects); and Software development for
design and manufacturing.
www.asmedl.org/JCISE
The ASME Digital Library is ASME's primary
repository of current and archival literature
featuring:
ASME's Transaction Journals from 1990 to the
present
ASME's Conference Proceedings from 2002 to
the present
ASME Press eBooks selected from 1999 to the
present. Initially, the eBook package will include
about 50 of our newest volumes, published from
2006 through mid-2009, with other books to
follow.
As the ASME Digital Library continues to expand, it
ultimately will include the complete archive of
ASME's Transactions Journals dating back to 1880.
http://www.asmedl.org/
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CIE Newsletter
CIE NEWS LETTER EDITORIAL
Issue Editors
Dr. Mahesh Mani, NIST
Dr. Joshua Summers, Clemson University
Contributions
Dr. John Michopoulos, NRL
Dr. Ram D. Sriram, NIST
Dr. Shuichi Fukuda, Stanford University
Dr. Krishnan Suresh, University of Wisconsin, Madison
Dr. Derek Yip-Hoi, Western Washington University
Dr. Abhishek Seth, Caterpillar
Dr. Richard Malak, TAMU
CIE Newsletter
Page 21
Photos from the 2011 Conference
CIE Luncheon
Conference Chair John Michopoulos Luncheon keynote by Dr. Charbel Farhat
CIE Lifetime Achievement Award to Dr. Charbel Farhat Distinguished Service Award to Dr. Ravi Rangan
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CIE Newsletter
CIE Excellence in Research Award to Dr. Chris Paredis CIE Leadership Award to BVR Mohan Reddy
CIE Young Engineer Award to Dr. Abhishek Seth and Dr. Gaurav Ameta
Service Award to Dr. Shuichi Fukuda
