Upload
amin-mojiri
View
223
Download
0
Embed Size (px)
Citation preview
7/21/2019 Expert-Based-Computer Aided Design and Component Selection for Dust Collection Systems
1/15
International Journal of Scientific Research in Environmental Sciences, 2(1), pp. 14-28, 2014
Available online at http://www.ijsrpub.com/ijsres
ISSN: 2322-4983; 2014 IJSRPUB
http://dx.doi.org/10.12983/ijsres-2014-p0014-0028
14
Full Length Research Paper
Expert-Based-Computer Aided Design and Component Selection for Dust Collection
Systems
Ibrahim Medany1, Mostafa Shazly
2, Mahmoud G. El-Sherbiny
1*
1Mechanical Design and Production Engineering Depart., Cairo University, Giza, Egypt,
2Mechanical Eng. Depart., The British University in Egypt, Al-Shorouk City, Egypt,
*Corresponding Author: Tel: 00201006044616 Fax: 0020237746016, [email protected]
Received 30 October 2013; Accepted 27 December 2013
Abstract.Environmental regulations regarding industrial pollution are getting tougher to keep high air quality. The design of
proper system to meet specific requirements relays on selection of different filtration components. Components are available in
a wide range of designs to meet various requirements of air filtration level, quantity, and characteristics of the contaminants to
be removed. An expert system package for the selection of dust collectors components is developed. The developed package
utilizes database as well as knowledge base to aid the selection process based on practice and past experience. Industrial case
studies are demonstrated to test the developed package and compare its results against the current systems design. The
developed package in one case study estimated a minimum air flow rate of 60000 m3/hr, which is 30% higher than the
existing value and a static pressure drop due to ducts of about 1900 Pa which is 30 % lower than the current valueleading to improved air quality. In another case study the package results indicated the need to minimize the valueof air flow to be 2300 m3/hr, which is 50% lower than the current value and increase the external static pressure to
1700 Pa which is 70% higher than the existing design value leading to better filtration efficiency.
Keywords:Air Pollution, Dust Collection, Expert Systems, Design
1. INTRODUCTION
In every application, fine filtration is stronglydemanded, and air quality standards are much higherthan they were 50 years ago. The investment in gasfiltration of all kinds is about one sixth (16%) of the
total investment in filtration and its relatedseparations, worldwide. Air filtration devices remove
contaminants from an air or gas stream and are
available in a wide range of designs to meet various inair filtration requirements. Degree of removal,quantity and characteristics of the contaminant,conditions of the air or gas stream, fire safety, andexplosion control are among the factors that affect the
selection process.
Fig. 1:Elements of a Local Exhaust System
7/21/2019 Expert-Based-Computer Aided Design and Component Selection for Dust Collection Systems
2/15
Medany et al.
Expert-Based-Computer Aided Design and Component Selection for Dust Collection Systems
15
For particulate contaminants, air cleaning devicesare divided into two basic groups: air filters and dustcollectors (Rajhans et al., 2004; Sutherland, 2008).Air filters are designed to remove low dustconcentrations of the magnitude found in atmospheric
air. They are typically used in ventilation, air-conditioning, and heating systems where dustconcentrations seldom exceed 0.025 grains per cubicmeters of air and are usually well below 0.0025 grainsper cubic meter. Industrial contaminant concentrations
will vary from less than 4 to 4000 grains per cubicmeter of air or gas. Therefore, dust collectors are, and
must be, capable of handling concentrations 100 to20,000 times greater than those for which air filtersare designed (Rajhans et al., 2004). In industrialventilation, only removing the larger dust particles
from the air stream may be necessary for cleanlinessof the structure, protection of mechanical equipment,and employee health (ASHRAE, 2008). Particles are
classified in three general categories (coarse, fine andultrafine) and are derived from dust, constructionactivities, printing, photocopying, manufacturingprocesses, smoking, combustion and some chemicalreactions in which vapors condense to form particles.
These can be categorized as dust, smoke, mist, fumeand condensates (Heinsohn et al., 2003).
The dust removal process can involve quite highsolid concentrations or low concentrations that willaffect the dust collector type. For example, at the
highest concentrations, the usual first step is acyclone, which removes suspended solids quite
efficiently, and collects them into an easily recyclablestate (Sutherland, 2008; Thomas et al., 1989).Generally, there are five types of dust collectors forparticulate contaminants, namely, Gravity Settling
Chamber, Dry Centrifugal Collectors, Wet Collectors,Electrostatic Precipitators, and Fabric Collectors(Rajhans et al., 2004; Sutherland, 2008).
Fig. 2:CAD Program Flow Chart
Local exhaust systems are employed to capture aircontaminants near their point of generation ordispersion. The local exhaust hood is the point ofentry into the exhaust system and is defined herein toinclude all suction openings regardless of theirphysical configuration. The primary function of the
hood is to create an air flow field that will effectivelycapture the contaminant and transport it into the hoodas shown in Fig 1. Hoods have wide range of physicalconfigurations but can be grouped into two general
categories: Enclosing and Exterior (Rajhans et al.,2004; Mahidol University, 2006; Jornitz, 2006).
To move air in ventilation or exhaust system,powered air moving device such as a fan or an ejectorare used. Selection of an air moving devices can be acomplex task and the designers are required to take
advantage of all available information fromengineering societies as well as from individualmanufacturers (Rajhans et al., 2004, Michigan, 1972).
The objective of the present work is to develop anexpert system package which can be implemented in a
7/21/2019 Expert-Based-Computer Aided Design and Component Selection for Dust Collection Systems
3/15
International Journal of Scientific Research in Environmental Sciences, 2(1), pp. 14-28, 2014
16
user friendly Computer Aided Design (CAD) programfor the selection of dust collectors and theircomponents. Dust collection systems are usuallydesigned as a construction from individualcomponents such as cyclones, filters, ducts, fans and
other joining elements for the severe loads generatedfrom industrial processes where the air or gas to becleaned originates in local exhaust systems or processstack gas effluents.
Expert systems have been used extensively
over wide range of applications ranging from
medical and industrial to business applications.
Expert systems have the advantages of their
consistency, completeness, reproducibility, and
efficiency. However, they cannot adapt to
changing environments, unless their knowledge
base is changed, and when any errors occur in the
knowledge base, will lead to wrong decisions
(Arlington, 1983; Giarratano and Riley, 2004;
Eronen and Zitting, 2001; Gamal et al., 2010;
Beanlands, 1994; Bohanec and Rajkovic, 1990).
The expert system's reasoner operates over
well-defined domain rules. These rules can be
thought of as IF-THEN statements. Once the IF
part of the statement is satisfied the THEN part is
computed which can introduce additionalinformation (Stefik et al., 1982; Ratajkosk et al.,
2001; Clancey, 1983, Rahim and Ahmad, 2006).
It also manipulates the knowledge base which can
recursively cause more rules to be applied
causing what is called as forward chaining
(Eronen and Zitting, 2001).
The objective of the present work is to develop
an expert-based-computer aided design and
component selection for dust collection systems.
The developed system will make use of the
current design approaches in dust collectionsystem and collected data from experts and past
studies that will aid in the selection criteria and
decision making.
Fig. 3:Main Screen
2. COMPUTER AIDED DESIGN OF DUST
COLLECTION SYSTEM
Visual Basic program has been developed to assist in
the design of dust collection system. The program issubdivided into eight main parts as shown in Fig 2.The developed package allows the user either to build
a new system from scratch, edit or adopt previouslydesigned systems as shown in Fig 3. The data used in
both cases are kept in the expert system memory assuch that the user has the ability to make decisions to
achieve better design for the dust collection system.
2.1. Application and Dust Types
The first step in the design process is to choose the
application type and the information about the dust tobe collected. The interface screen for this purpose
7/21/2019 Expert-Based-Computer Aided Design and Component Selection for Dust Collection Systems
4/15
Medany et al.
Expert-Based-Computer Aided Design and Component Selection for Dust Collection Systems
17
contains three sections: Application Type, Dust Typeand Dispersion Type as shown in Figs 4 and 5. Thepackage allows the user to select the dust and particletypes. If explosive and sticky dusts are to be removedthey must be considered in the design process. The
user in this case has to check or uncheck theappropriate check boxes in the window. Finally, thepackage allows the user to select the Dispersion Typewhich includes released with practically no velocityinto quiet air, active generation into zone of rapid air
motion etc. In all cases the built-in expert systempresents application examples and recommended
capture velocity. The package and the built-in expertsystem guide the users throughout the selectionprocess. For example, a warning message appearswhen a non-recommended duct velocity is used, as
shown in Fig 6. Other examples include the frequencyof the same application type previously used,concentration dust load, duct velocities (main andsub), as illustrated in Fig 7.
2.2. Dust Collector Selection
Based on the previously selected application and dusttype, the built-in knowledge base recommends thetype of dust collector to be used as shown in Fig 8.
The package guides the user to determine thefrequently used systems through on Often and
Seldom usage keys.
2.3. System Design and Local Hoods
The interface of System Design and Local Hoodsconsists of No. of Extraction Points, SystemHood and Duct Design System as shown in Fig9.First, the user must feed in the number of extractionpoints of the sources of emission to be removed. Then
click on Design System Button to draw the singleline diagram of dust collection system includingLocal Hoods, Branch Ducts, Main Duct, DustCollector, Fan, The Duct Connecting DustCollector and Fan and Fan Outlet Duct Chimney.
These input data will be used in Hood calculationsand Duct design. Hood calculations data include hoodtype, air flow, hood static pressure, and branchpressure loss and duct.Duct design system includesduct between First Hood and Dust Collector, duct
between Dust Collector and Fan, and Fan outletduct as shown in Fig 9.
2.4.Hood and Duct DesignThe package allows the user to select the hood
type according to source and direction of
emission. This includes, for example, slot and
flanged slot hoods, and other types of hoods as
shown in Figs 10 and 11.
First, the interface allows the user to select
hoods successively and then specify the hood
type as shown in Fig 10.The user then feeds in
the parameters in two steps as shown in Fig 10.
The first step is to specify input parameters for
selected hood (hood width, hood length, face
diameter, and taper angle of hood shape) based on
the application and the geometry of the pickup
point. The second step is to input data for
pressure losses (straight duct length from hood to
branch including flexible or rigid ducts, duct
material, fitting losses coefficients as shown inFig 12). The results of these steps are the Air
Flow, Hood Static Pressure and Duct Diameter as
illustrated inFig 13. Fig 14 shows an example of
the expert system; applications where a warning
message appears if calculated slot velocity is
greater than 10 m/s.The process of hood design is followed by duct
design. The input in this case includes ductingparameters between Hood 1 and Dust Collector, Ductbetween Fan and Dust collector and Duct of Fanout/stack/chimney. This also includes the duct lengthand fitting loss in the duct branch as shown in Figs
15-17. The results of duct design process are ductdiameters; air flow in the branch and main ducts, andthe pressure losses.
7/21/2019 Expert-Based-Computer Aided Design and Component Selection for Dust Collection Systems
5/15
International Journal of Scientific Research in Environmental Sciences, 2(1), pp. 14-28, 2014
18
Fig. 4: Flow Chart of Dust and Application Type
Fig. 5: Dust and Application Type
7/21/2019 Expert-Based-Computer Aided Design and Component Selection for Dust Collection Systems
6/15
Medany et al.
Expert-Based-Computer Aided Design and Component Selection for Dust Collection Systems
19
Fig. 6: Warning Message for the Duct Velocity
Fig. 7: Dust and Application Type
Fig. 8: Dust Collector Parameters
7/21/2019 Expert-Based-Computer Aided Design and Component Selection for Dust Collection Systems
7/15
International Journal of Scientific Research in Environmental Sciences, 2(1), pp. 14-28, 2014
20
Fig. 9: System Design and Local Hoods
Fig. 10:Hood Parameters
7/21/2019 Expert-Based-Computer Aided Design and Component Selection for Dust Collection Systems
8/15
Medany et al.
Expert-Based-Computer Aided Design and Component Selection for Dust Collection Systems
21
2.5. System Results and Report
The design of the complete system is reported by thepackage in the form of design report that includes all
the necessary information to install the dust collectionsystem. This includes the External Static Pressure(Pa.) at the ultimate operating conditions and Total
Air Flow Rate (Q, m3/hr) as shown in Fig 18. If the
external static pressure exceeds 3000 Pa, the system
should be redesigned by increasing the number of theextraction points of the design and a two fans solutionmay be more appropriate to minimize the fan and dustcollector size. The fan selection process requires theTotal Static Pressure and Total Air Flow Rate.
This process requires the knowledge of thepressure drop across the filters. This informationvaries from supplier to another and must be obtainedfor the filters to be installed in the designed system.
Fig. 11: Hood Parameters- Other Hood Types
3. RESULTS AND DISCUSSIONS
The above developed package is used to re-designexisting dust collection systems for Paper-Winder
Machine and a Fertilizers Crusher Room. The purposeof this section is to demonstrate some examples ofindustrial applications where the developed package
can show its effectiveness. The developed packagecan save time and enable decisions to be made basedon past experiences and practices.
3.1. Paper-Winder Machine Case Study
Significant amount of dust are produced duringreeling, unwinding, and slitting of paper rolls. This
dust causes many problems to printing machines andcan impair the printing quality. Moreover, it affectsworking environment, causes health problems, andincreases fire risk. Working with coated or calendared
paper rolls decreases the amount of dust but at highercost.
The winder area is usually cleaned with
pressurized air causing clouds of fiber dust to rise inthe air and therefore, employees and operators needrespiratory masks in order to survive the work place
environment.
7/21/2019 Expert-Based-Computer Aided Design and Component Selection for Dust Collection Systems
9/15
International Journal of Scientific Research in Environmental Sciences, 2(1), pp. 14-28, 2014
22
Fig. 12: Hood Parameters-Fitting Coefficients (Elbow)
Fig. 13: Hood Parameters - Complete Calculations
7/21/2019 Expert-Based-Computer Aided Design and Component Selection for Dust Collection Systems
10/15
Medany et al.
Expert-Based-Computer Aided Design and Component Selection for Dust Collection Systems
23
Fig. 14: Slot Velocity Warning Message
Table 1:Dust Collection System Report for Paper-Winder Machine
Application Name: Winder of Paper Machine Version 1
Date: 23/12/2011
Main Application: Coal, Mining and Power Plant
Sub Application: De-dusting, air cleaning
Concentration Dust Load (gr/m3): Heavy: 12 and up
Explosive Dust or any spark from application: Yes Dust Sticky: No
Dust Type: Average Industrial DustMain Duct Velocity (m/s): 20 Branch Duct Velocity (m/s): 20
Particle Type: Paper Tissue Dust
Dispersion Type: Released at high velocity into zone of very rapid air motion
Capture Velocity (m/s): 2.5
Dust Collector Type: Venturi Collector (Wet Collector)
External Static Pressure (Pa.): 1900
Total Air Flow (m3/h): 60,000
No. of Extraction Points: 15
The existing dust collection system uses VentureWet Scrubber consisting of 15 extraction points withfan capacity 45000 m
3/hr having external static
pressure 2000 Pa. The existing dust collectors were
expected to reduce emissions to air but they were notefficient enough. There were also problems with dust,particularly during the winding process. Afterwinding, some of the dust was trapped between papersheets and some accumulated on the machine frame
and fell back onto the paper. The present package wasused to re-design the current collection system. The
summary for the input data and results are shown inTable 1, which contains the information about theprocess and the pickup points and preferred pickupvelocities. The results showed that the minimum air
flow rate is 60000 m3/hr, which is 30% higher than the
existing value. Also the static pressure drop due toducts is 1900 Pa which is 30 % lower than the currentvalue. These results indicate that the system needs
higher capacity of air flow at almost the same externalstatic pressure. These results are different from theexisting system design because the computed captureand hood face velocities (based on the knowledgebase built in the expert system) were higher than the
current values of the existing system. Also thedistance from hood face to the farthest source is
reduced to achieve better capture of dust and higherefficiency. As a result of the modified design, the airquality around the machines and working area isexpected to be better.
7/21/2019 Expert-Based-Computer Aided Design and Component Selection for Dust Collection Systems
11/15
International Journal of Scientific Research in Environmental Sciences, 2(1), pp. 14-28, 2014
24
Fig. 15: Duct System Databetween Hood 1 and Dust CollectorComplete Calculations
Fig. 16: Duct System DataDuct between Fan and Dust CollectorComplete Calculations
7/21/2019 Expert-Based-Computer Aided Design and Component Selection for Dust Collection Systems
12/15
Medany et al.
Expert-Based-Computer Aided Design and Component Selection for Dust Collection Systems
25
Fig. 17: Duct System ParametersDuct between Fan and Dust CollectorComplete Calculations
Fig. 18: System Results
7/21/2019 Expert-Based-Computer Aided Design and Component Selection for Dust Collection Systems
13/15
International Journal of Scientific Research in Environmental Sciences, 2(1), pp. 14-28, 2014
26
Table 2:Dust Collection System Report for Crusher Room
Application Name: Crusher Room of Fertilizer Version 2
Date: 24/12/2011
Main Application: Chemicals
Sub Application: Crushing, grinding
Concentration Dust Load (gr/m ): Moderate: 5 to 12Explosive Dust or any spark from application: No Dust Sticky: No
Dust Type: Average Industrial Dust
Main Duct Velocity (m/s): 20 Branch Duct Velocity (m/s): 20
Particle Type: Fertilizer
Dispersion Type: Released at low velocity into moderately still air.
Capture Velocity (m/s): 0.5
Dust Collector Type: Intermittent-Shaker Collector (Fabric Collector)
External Static Pressure (Pa.): 1700
Total Air Flow (m /h): 2300
No. of Extraction Points: 8
3.2. Fertilizer Crusher Room Case Study
An Agricultural Fertilizer Company has anUnderground Crusher Room. The Crusher Room
consists of a Crusher, Screw Conveyors, BucketElevator, Hooper and Vibrator Screen. Due to the
crushing process, the room is filled with foggy airwith high dust concentration; and as a result the dustleaves the room to other working areas of production.The existing installed dust collection system servicingthe crusher room area consists of eight extractionpoints, Intermittent-Shaker Fabric Collector, a fanwith a capacity of 4400 m3/hr and an external staticpressure 1000 Pa. The dust collection systemefficiency is 85 % approximately and was satisfactoryfor the client. The computer aided design programwas used to check the design of this particular dustcollection system. The input data and results are
summarized in Table 2. The results indicated the needto minimize the value of air flow to be 2300 m
3/hr,
which is 50% lower than the current value. Also theexternal static pressure due to duct is 1700 Pa which is70 % higher than the existing design value. Theseresults are different from the existing system design
because the capture velocity was lower than theexisting system. The knowledge base built in theexpert system attempted to minimize the collection ofproduct and minimize the size of fan and motorthereby reducing the power consumption and runningcost.
4 CONCLUSIONS
The present work introduced a proceducer fordesigning Dust Collection System, using an expertsystem based package for the selection of dustcollectors and their components. The developedpackage utilizes database as well as knowledge baseto aid the selection process. Expert data form previous
experiences and practices are introduced to help in theselection of the components of the Dust Collectionsystem, leading to maximizing the efficency andminimizing the cost of maintenance. The developedexpert based program can save time and enable
decisions to be made based on past experiences andpractices.
The examples considered in this study showed thatthe proposed designs suggested by the packagesupport by the expert system is different from the
current ones. The causes of these differences betweenthe existing designs and the new designs are
illustrated in two main points:Air Flow quantity andStatic Pressure value. The distance from hood face to
farthest point of emission sources should be minimum(near or close) and the designer must consider otherhood types parameters, where the required air flow ofsuction is calculated rather than by the using thetraditional equation (Q=V(volume) x A(area)) of
hood. The static pressure loss of exhaust hood,flexible ducts , duct surface finish must also beconsidered in the design.
7/21/2019 Expert-Based-Computer Aided Design and Component Selection for Dust Collection Systems
14/15
Medany et al.
Expert-Based-Computer Aided Design and Component Selection for Dust Collection Systems
27
REFERENCES
Arlington H (1983). Field Performance Measurementof Fan Systems. Air Movement and ControlAssociation Inc.,
AMCA Publication 203-90,ASHRAE (2008). Air Cleaners for Particulate
Contaminants, HVAC Systems and Equipment.Beanlands GA (1994). The Application of Expert
Systems to Environmental Impact Assessment.
Bibliography, GEBEC Consultants, Halifax.Bohanec M, Rajkovic V (1990). Expert system for the
Decision making. Sisemica, 1(1): 145-157.Clancey JW (1983). The Advantages of Abstract
Control Knowledge in Expert System Design.AAAI-83 Proceedings, pp. 74-78.
Eronen P, Zitting J (2001). An expert system foranalyzing firewall rules. Proc. 6th NordicWorksh. Secure IT Systems, Technical reportIMM-TR-2001-14, Technical Univ. ofDenmark, Nov 2001, pp. 100107.
Gamal MM, Hasan B, Hegazy F (2010). A SecurityAnalysis Framework Powered by an ExpertSystem. Int. JComp Sc and Secur (IJCSS), 4(6).
Giarratano J, Riley G (2004). Expert SystemsPrinciples and Programming. CourseTechnology, Fourth Edition.
Heinsohn RJ, Cimbala JM (2003). Indoor Air Quality
Engineering: Environmental Health and Controlof Indoor Pollutants (Drugs and thePharmaceutical Sciences). CRC Press, 1stEdition.
Jornitz MW (2006). Filter Construction and Design.Adv Biochem. Engine/Biotechnology, vol 98,pp105-123.
Mahidol University (2006). Polishing and Buffing.Industrial Hygiene and Safety.
Michigan L (1972). Industrial Ventilation A Manualof Recommended Practice. AmericanConference ofGovernmental Industrial
Hygienists-Committee on IndustrialVentilation, 12th Edition.
Rahim AZ and Ahmad BA (2006). A Web BasedExpert system for PreDiagnosing GestationalDiabetes. Bachelor Degree thesis, University
Technology MARA, Apr., 2006.Rajhans G, Paulson KM, Cleary WM (2004).
Industrial Ventilation A Manual ofRecommended Practice,
American Conference of Governmental IndustrialHygienists (ACGIH
),25th Edition.
Ratajkosk M (2001). Artificial Intelligence andDispute Resolution. Health and SafetyExecutive (HSE), Evaluation of an expertsystem for the interpretation of serial peakexpiratory flow measurements in the diagnosisof occupational asthma in a field trial, ContractResearch Report No. 450.
Stefik M, Aikins J, Balzer R, Benoit J, Birnbaum L,
Hayes F, Sacerdoti E (1982). The organizationof expert systems: A prescriptive tutorial.Xerox Corporation Report, Palo Alto ResearchCenter.
Sutherland K (2008). Filters and Filtration Handbook.Butterworth-Heinemann, Fifth Edition.
Thomas HK, David YH, William TF (1989). DustCollector Recirculation for IndustrialProcesses.Principal Investigators, ASHRAE.
7/21/2019 Expert-Based-Computer Aided Design and Component Selection for Dust Collection Systems
15/15
International Journal of Scientific Research in Environmental Sciences, 2(1), pp. 14-28, 2014
28
Ibrahim Medany is currently a Project Manager for HVAC and Filtration (Dust Collection) Projects at
Hammam Industries & Co. Company. He received his B.Sc. in Mechanical Production and Printing
Technology from Akhbar Al-Youm Academy for Engineering, Printing and Press Technology in Egypt
in 2006 and his M.Sc. in Mechanical Design and Production Engineering from Faculty of Engineering
Cairo University in 2012.
Dr. Mostafa Shazly is an Associate Professor at the Mechanical Engineering Department, Associate
Director for the Centre of Advanced Materials, the British University in Egypt. He received his B.Sc.and M.Sc. in Mechanical Design and Production Engineering from Faculty of Engineering, Cairo
University in 1996 and 1999, respectively. He received his Ph.D. in Mechanical Engineering in 2005
from Case School of Engineering, Case Western Reserve University, OH, USA.
Prof. Mahmoud G. El-Sherbiny received the B.Sc. degree in Mechanical Engineering with honors from
Cairo University, Egypt, in 1968, the M.S. from Cairo University on a cooperation program with the
University of Denmark at Copenhagen in 1972, and Ph.D. degree from the Department of Aeronautical
and Mechanical Engineering at the University of Salford, U.K, in 1975.
He joined the department of Mechanical Design and Production Engineering at Cairo University since
1968 and promoted to Professor of Machine Design and Engineering Tribology in 1986. He is the
founder of the Egyptian Society of Tribology (EGTRIB) in 1987, Tribology and Spare Parts Center
(TSPC) at Cairo University in 1988, The Scientific journal of the Egyptian Society of Tribology in
2002, and The Arab Federation for Metrology (AFM) in 2007. He was appointed as Vice Dean for
Curriculum and Students affairs in 1994, Dean of Engineering at Cairo University 1995-2001, andPresident of the National Institute of Standards 2005-2006.
He published 56 reviewed articles in world known journals and holds 11 registered patents.