FINITE ELEMENT ANALYSIS
INTRODUCTION
The finite-element method originated from the needs for solving complex
elasticity, structural analysis problems in all fields of engineering and. Its
development can be traced back to the work by Alexander Hrennikoff (1941)
and Richard Courant (1942). While the approaches used by these pioneers are
dramatically different, they share one essential characteristic: mesh
discretization of a continuous domain into a set of discrete sub-domains.
Development of the finite element method began in earnest in the middle to late
1950s for airframe and structural analysis and picked up a lot of steam at the
University of Stuttgart through the work of John Argyris and at Berkeley
through the work of Ray W. Clough in the 1960s for use in civil engineering.,
and has since been generalized into a branch of applied mathematics for
numerical modeling of physical systems in a wide variety of engineering
disciplines, e.g., electromagnetism and fluid dynamics.
AIM
Aim of this paper is to femilarise students with FINITE ELEMENT ANALYSIS
FINITE ELEMENT METHOD (FEM)
is used for finding approximate solution of partial differential equations (PDE)
as well as of integral equations such as the heat transport equation. The solution
approach is based either on eliminating the differential equation completely
(steady state problems), or rendering the PDE into an equivalent ordinary
differential equation, which is then solved using standard techniques such as
finite differences, etc.
In solving partial differential equations, the primary challenge is to create an
equation that approximates the equation to be studied, but is numerically stable,
meaning that errors in the input data and intermediate calculations do not
accumulate and cause the resulting output to be meaningless. There are many
ways of doing this, all with advantages and disadvantages. The Finite Element
Method is a good choice for solving partial differential equations over complex
domains (like cars and oil pipelines), when the domain changes (as during a
solid state reaction with a moving boundary), or when the desired precision
varies over the entire domain
The finite difference method (FDM) is an alternative way for solving PDEs.
The differences between FEM and FDM are:
• The finite difference method is an approximation to the differential
equation; the finite element method is an approximation to its solution.
• The most attractive feature of the FEM is its ability to handle complex
geometries (and boundaries) with relative ease. While FDM in its basic
form is restricted to handle rectangular shapes and simple alterations
thereof, the handling of geometries in FEM is theoretically
straightforward.
• The most attractive feature of finite differences is that it can be very easy
to implement.
• There are several ways one could consider the FDM a special case of the
FEM approach. One might choose basis functions as either piecewise
constant functions or Dirac delta functions. In both approaches, the
approximations are defined on the entire domain, but need not be
continuous. Alternatively, one might define the function on a discrete
domain, with the result that the continuous differential operator no longer
makes sense, however this approach is not FEM.
• There are reasons to consider the mathematical foundation of the finite
element approximation more sound, for instance, because the quality of
the approximation between grid points is poor in FDM.
• The quality of a FEM approximation is often higher than in the
corresponding FDM approach, but this is extremely problem dependent
and several examples to the contrary can be provided.
Generally, FEM is the method of choice in all types of analysis in structural
mechanics (i.e. solving for deformation and stresses in solid bodies or dynamics
of structures) while computational fluid dynamics (CFD) tends to use FDM or
other methods (e.g., finite volume method
Galerkin methods
In mathematics, in the area of numerical analysis, Galerkin methods are a
class of methods for converting an operator problems (such as a differential
equation) to a discrete problem. In principle, it is the equivalent of applying the
method of variation to a function space, by converting the equation to a weak
formulation. The approach is credited to the Russian mathematician Boris
Galerkin.
Rayleigh-Ritz method
In applied mathematics and mechanical engineering, the Rayleigh-Ritz method
is a widely used, classical method for the calculation of the natural vibration
frequency of a structure in the second or higher order. It is a direct variational
method in which the minimum of a functional defined on an normed linear
space is approximated by a linear combination elements from that space. This
method will yield solutions when an analytical form for the true solution may
be intractable.It is used for finding the approximate real resonant frequencies of
multi degree of freedom systems, such as spring mass systems or flywheels on a
shaft with varying cross section. It is an extension of Rayleigh's method. It can
also be used for finding buckling loads for columns, as well as more esoteric
uses.
FINITE ELEMENT ANALYSIS (FEA)
Is a computer simulation technique used in engineering analysis. It uses a
numerical technique called the finite element method (FEM). FEA consists of a
computer model of a material or design that is stressed and analyzed for specific
results. It is used in new product design, and existing product refinement. A
manufacturer is able to verify a proposed design will be able to perform to the
client's specifications prior to manufacturing or construction. Modifying an
existing product or structure is utilized to qualify the product or structure for a
new service condition. In case of structural failure, FEA may be used to help
determine the design modifications to meet the new condition.
.The finite element analysis was first developed in 1943 by Richard Courant,
who used the Ritz method of numerical analysis and minimization of variational
calculus to obtain approximate solutions to vibration systems. Shortly
thereafter, a paper published in 1956[1]
established a broader definition of
numerical analysis. Development of the finite element method in structural
mechanics is usually based on an energy principle such as the virtual work
principle or the minimum total potential energy principle. By the early 70's,
FEA was limited to expensive mainframe computers generally owned by the
aeronautics, automotive, defense, and nuclear industries. Since the rapid decline
in the cost of computers and the phenomenal increase in computing power, FEA
has been developed to an incredible precision. Present day supercomputers are
now able to produce accurate results for all kinds of parameters.
HOW DOES FINITE ELEMENT ANALYSIS WORK?
FEA uses a complex system of points called nodes which make a grid called a
mesh (Fig 1).This mesh is programmed to contain the material and structural
properties which define how the structure will react to certain loading
conditions. Nodes are assigned at a certain density throughout the material
depending on the anticipated stress levels of a particular area. Regions which
will receive large amounts of stress usually have a higher node density than
those which experience little or no stress. Points of interest may consist of:
fracture point of previously tested material, fillets, corners, complex detail, and
high stress areas. The mesh acts like a spider web in that from each node, there
extends a mesh element to each of the adjacent nodes. This web of vectors is
what carries the material properties to the
object, creating many elements.
Fig 1: Mesh created on a structure.
Finite element analysis
In general, there are three phases in any computer-aided engineering task:
• Pre-processing – defining the finite element model and environmental
factors to be applied to it
• Analysis solver – solution of finite element model
• Post-processing of results using visualization tools
There are multiple loading conditions which may be applied to a system.
• Point, pressure, thermal, gravity, and centrifugal static loads
• Thermal loads from solution of heat transfer analysis
• Enforced displacements
• Heat flux and convection
• Point, pressure and gravity dynamic loads
An element has to face all the above loading condition which can be
successfully solve by FEA
Each FEA program may come with an element library, which is constructed
over a period of time. Some sample elements are:
• Rod elements
• Beam elements
• Plate/Shell/Composite elements
• Shear panel
• Solid elements
• Spring elements
• Mass elements
• Rigid elements
• Viscous damping elements
Many FEA programs also are equipped with the capability to use multiple
materials within the structure such as:
• Isotropic, identical throughout
• Orthotropic, identical at 90 degrees
• General anisotropic, different throughout
In its applications, the object or system is represented by a geometrically similar
model consisting of multiple, linked, simplified representations of discrete
regions—i.e., finite elements on an unstructured grid. Equations of equilibrium,
in conjunction with applicable physical considerations such as compatibility
and constitutive relations, are applied to each element, and a system of
simultaneous equations is constructed. The system of equations is solved for
unknown values using the techniques of linear algebra or non-linear numerical
schemes, as appropriate. While being an approximate method, the accuracy of
the FEA method can be improved by refining the mesh in the model using more
elements and nodes.
A common use of FEA is for the determination of stresses and displacements in
mechanical objects and systems. However, it is also routinely used in the
analysis of many other types of problems, including those in heat transfer, solid
state diffusion and reactions with moving boundaries, fluid dynamics, and
electromagnetism. FEA is able to handle complex systems that defy closed-
form analytical solutions.
Pre-processing
The first step in using FEA, pre-processing, is constructing a finite element model of
the structure to be analyzed. The input of a topological description of the structure's
geometric features is required in most FEA packages This can be in either 1D, 2D,
or 3D form, modeled by line, shape, or surface representation, respectively, although
nowadays 3D models are predominantly used. The primary objective of the model is
to realistically replicate the important parameters and features of the real model. The
simplest mechanism to achieve modeling similarity in structural analysis is to utilize
pre-existing digital blueprints, design files, CAD models, and/or data by importing
that into an FEA environment. Once the finite element geometric model has been
created, a meshing procedure is used to define and break up the model into small
elements. In general, a finite element model is defined by a mesh network, which is
made up of the geometric arrangement of elements and nodes. Nodes represent
points at which features such as displacements are calculated. FEA packages use
node numbers to serve as an identification tool in viewing solutions in structures
such as deflections. Elements are bounded by sets of nodes, and define localized
mass and stiffness properties of the model. Elements are also defined by mesh
numbers, which allow references to be made to corresponding deflections or stresses
at specific model locations.
Analysis (computation of solution)
The next stage of the FEA process is analysis. The FEM conducts a series of
computational procedures involving applied forces, and the properties of the
elements which produce a model solution. Such a structural analysis allows the
determination of effects such as deformations, strains, and stresses which are
caused by applied structural loads such as force, pressure and gravity.
Post-processing (visualization)
These results can then be studied using visualization tools within the FEA
environment to view and to fully identify implications of the analysis.
Numerical and graphical tools allow the precise location of data such as stresses
and deflections to be identified.
TYPES OF ENGINEERING ANALYSIS
Structural analysis consists of linear and non-linear models. Linear models use
simple parameters and assume that the material is not plastically deformed.
Non-linear models consist of stressing the material past its elastic capabilities.
The stresses in the material then vary with the amount of deformation.
Vibrational analysis is used to test a material against random vibrations, shock,
and impact. Each of these incidences may act on the natural vibrational
frequency of the material which, in turn, may cause resonance and subsequent
failure.
Fatigue analysis helps designers to predict the life of a material or structure by
showing the effects of cyclic loading on the specimen. Such analysis can show
the areas where crack propagation is most likely to occur. Failure due to fatigue
may also show the damage tolerance of the material .
Heat Transfer analysis models the conductivity or thermal fluid dynamics of
the material or structure .This may consist of a steady-state or transient transfer.
Steady-state transfer refers to constant thermo-properties in the material that
yield linear heat diffusion.
Results of Finite Element Analysis
FEA has become a solution to the task of predicting failure due to unknown
stresses by showing problem areas in a material and allowing designers to see
all of the theoretical stresses within. This method of product design and testing
is far superior to the manufacturing costs which would accrue if each sample
was actually built and tested.
APPLICATIONS OF FEA TO THE MECHANICAL ENGINEERING
INDUSTRY
A variety of specializations under the umbrella of the mechanical engineering
discipline such as aeronautical, biomechanical, and automotive industries all
commonly use integrated FEA in design and development of their products.
Several modern FEA packages include specific components such as thermal,
electromagnetic, fluid, and structural working environments. In a structural
simulation FEA helps tremendously in producing stiffness and strength
visualizations and also in minimizing weight, materials, and costs. FEA allows
detailed visualization of where structures bend or twist, and indicates the
distribution of stresses and displacements. FEA software provides a wide range
of simulation options for controlling the complexity of both the modeling and
the analysis of a system. Similarly, the desired level of accuracy required and
the associated computational time requirements can be managed simultaneously
to address most engineering applications. FEA allows entire designs to be
constructed, refined, and optimized before the design is manufactured. This
powerful design tool has significantly improved both the standard of
engineering designs and the methodology of the design process in many
industrial applications. The introduction of FEA has substantially decreased the
time taken to take products from concept to the production line.] It is primarily
through improved initial prototype designs using FEA that testing and
development have been accelerated. In summary, the benefits of FEA include
increased accuracy, enhanced design and better insight into critical design
parameters, virtual prototyping, fewer hardware prototypes, a faster and less
expensive design cycle, increased productivity, and increased revenue.
COMPUTER-AIDED DESIGN AND FINITE ELEMENT ANALYSIS IN
INDUSTRY
The ability to model a structural system in 3D can provide a powerful and
accurate analysis of almost any structure. 3D models, in general, can be
produced using a range of common computer-aided design packages. Models
have the tendency to range largely in both complexity and in file format,
depending on 3D model creation software and the complexity of the model's
geometry. FEA is a growing industry in product design, analysis, and
development in engineering. The trend of utilizing FEA as an engineering tool
is growing rapidly. The advancement in computer processing power, FEA, and
modeling software has allowed the continued integration of FEA in the
engineering fields of product design and development. In the past, there have
been many issues restricting the performance and ultimately the acceptance and
utilization of FEA in conjunction with CAD in the product design and
development stages. The current trend in FEA software & industry in
engineering has been the increasing demand for integration between solid
modeling and FEA analysis.. Designers are now beginning to introduce
computer simulations capable of using pre-existing CAD files, without the need
to modify and re-create models to suit FEA environments.
Dynamic modeling
There is increasing demand for dynamic FEA modeling in the heavy vehicle
industry. Many heavy vehicle companies are moving away from traditional
static analysis and are employing dynamic simulation software. Dynamic
simulation involves applying FEA in a more realistic sense to take into account
the complicated effects of analyzing multiple components and assemblies with
real properties.
Modeling assemblies
Dynamic simulation, used in conjunction with assembly modeling, introduces
the need to fasten together components of different materials and geometries.
Therefore, CAE tools should have comprehensive capabilities to easily and
reliably model connectors, including joints that allow relative motion between
components, rivets, and welds. Typical MSS models are composed of rigid
bodies (wheels, axles, frame, engine, cab, and trailer) connected by idealized
joints and force elements. Joints and links may be modeled as either rigid links,
springs, or dampers in order to simulate the dynamic characteristics of real
truck components. Force transfer across assembly components through
connectors makes them susceptible to high stresses. It is simpler and easier to
idealize connectors as rigid links in these systems. This idealization provides a
basic study of assembly behavior in terms of understanding system
characteristics; engineers must model joining parameters like fasteners
accurately when performing stress analysis to determine how failures might
take place. "Representing connectors as rigid links assumes that connectors
transfer loads across components without deforming and undergoing stress
themselves.
Soft ware Features
• Captures design intent through 3D parametric definition and
technological attributes
• Directly defines the design's general shape with constrained features such
as cuboids, revolutions, extrusions and cylinders
• Prevents duplication of effort by making standardized parts available
• Locks in designated feature definitions to manage change
• Computes part modifications with associative features
• Stores features in a library using a defined catalog access path for easier
referencing
• Comes with a large catalog starter set of features
• Allows companies and their subcontractors to share the same standards
through the use of the catalog features
CURRENT MODELING TECHNIQUES IN INDUSTRY
Engineers at automobile design model using specialist dynamic FEA software.
Each model contains a flexible body and chassis, springs, roll bars, axles, cab
and engine suspension, the steering mechanism, and any frequency-dependent
components such as rubber mounts..Fig 2.
Fig 2: Engineering Modeling
Dynamic FEA simulation enables a variety of maneuvers to be accurately
tested. Tests such as steady-state cornering, roll-over testing, lane changing, J-
turns, vibration analysis, collisions, and straight-line braking can all be
conducted accurately using dynamic FEA. Non-linear and time-varying loads
allow engineers to perform advanced realistic FEA, enabling them to locate
critical operating conditions and determine performance characteristics. As a
result of the improved dynamic testing capabilities, engineers are able to
determine the ultimate performance characteristics of the vehicle's design
without having to take physical risks. As a result of dynamic FEA, the need for
expensive destructive testing has been lessened substantially.
Fig 3: Visualization of how a car deforms in an asymmetrical crash using finite
element analysis
VIRTUAL TESTING
Virtual Testing is Pira’s generic term for the application of finite element
analysis (FEA) or computational modelling technology to packaging design and
evaluation. FEA is commonplace within automotive, aerospace, defence and
other engineering sectors and selected applications are already in place or being
developed in the packaging sector:
� Metal cans design and formation
� Injection moulding
� Blow moulding and structural assessment of blown containers.
Mathematical modelling allows the rapid assessment of solutions based on a
range of design modifications, without the need for repetative soft tooling.
Common objectives include achieving weight savings, shape optimisation and
performance improvement.
Fig 4: Virtual testing
BENEFITS OF MODELLING
� Reducing time to market
� Avoiding loss of sales through slow development i.e. the process of
refining protoypes
� Scope to reduce/eliminate iterative sampling/tooling during development
� Significant ongoing savings on light weighting and re-engineering
COMMON FEA APPLICATIONS
• Simulation for Structural Failure
Conduct structural / thermal FEA studies on a component / assembly to
study reasons for failure in field. Redesign parts to avoid failure
Fig 5: Simulation for structural failure
• Simulation to Duplicate Testing Conditions
Create testing conditions in the FEA environment and check FEA results
with respect to previous test results. This creates a framework to carry
out future testing using FEA, thus saving the cost of testing.
• Simulation to Validate New Part Design
Simulate the field conditions for a new part / assembly design to validate
strength, durability in field.
• Analyzing joints and modeling sealing solutions
• Optimization
Optimize the design for weight / cost reduction, removal of redundant
components, etc. using static / dynamic FEA.
Fig 6: Optimization models
Biomedical/Bioengineering Visualization
CEI’s visualization products are used widely to analyze and present the results
of CFD and FEA simulations for a variety of biomedical and bioengineering
applications. Since many of these involve transient phenomena, the strong
animation creation and display features of our products are especially popular.
Recently, support for 2D textures has been added, allowing greater realism to
your results, important in a field of science unfamiliar with simulations.
Fig 7: Application in biomedical engineering
Use of FEA for coating
Electroplating is an essential part in the finishing process of manufactured products, but
more often than not, costly trial-and-error, grinding and polishing methods are
employed to achieve uniformity. FEA simulation of this process is a way to solve this
problem. This is achieved by mapping the current density field using finite element
methods to determine the amount deposited on the discrete parts of the component
Fig 8: Application in coating
CONCLUSION
The FEA uses computer simulation tech in Engg Analyis which has reduced the
economy of product, time to market and various effert to making sample and
practically testing on testbench and field. It short it has improved the
development speed of an product by reducing interactive sampling, tooling and
re-engineering work. Hence use of FEA is cost of the product, increase the
speed as development of product and improve the quality as product.