Sunday, 10 January 2016

Finite Element analysis

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6 things all engineers should know before using FEA

6 things all engineers should know before using FEA

History


While it is difficult to quote a date of the invention of the finite element method, the method originated from the need to solve complex elasticity and structural analysis problems in civil and aeronautical engineering. Its development can be traced back to the work by A. Hrennikoff  and R. Courant. In China, in the later 1950s and early 1960s, based on the computations of dam constructions, K. Feng proposed a systematic numerical method for solving partial differential equations. The method was called the finite difference method based on variation principle, which was another independent invention of finite element method. Although the approaches used by these pioneers are different, they share one essential characteristic: mesh discretization of a continuous domain into a set of discrete sub-domains, usually called elements.

Hrennikoff's work discretizes the domain by using a lattice analogy, while Courant's approach divides the domain into finite triangular subregions to solvesecond order elliptic partial differential equations (PDEs) that arise from the problem of torsion of a cylinder. Courant's contribution was evolutionary, drawing on a large body of earlier results for PDEs developed by RayleighRitz, and Galerkin.
The finite element method obtained its real impetus in the 1960s and 1970s by the developments of J. H. Argyris with co-workers at the University of Stuttgart,R. W. Clough with co-workers at UC BerkeleyO. C. Zienkiewicz with co-workers Ernest HintonBruce Irons and others at the University of Swansea,Philippe G. Ciarlet at the University of Paris 6 and Richard Gallagher with co-workers at Cornell University. Further impetus was provided in these years by available open source finite element software programs. NASA sponsored the original version of NASTRAN, and UC Berkeley made the finite element program SAP IV widely available. In Norway the ship classification society Det Norske Veritas (now DNV GL) developed Sesam in 1969 for use in analysis of ships. A rigorous mathematical basis to the finite element method was provided in 1973 with the publication by Strang and Fix.The method has since been generalized for the numerical modeling of physical systems in a wide variety of engineering disciplines, e.g., electromagnetismheat transfer, and fluid dynamics

REFERENCE:

www.wikipedia.com

Basic concepts

Basic concepts

The subdivision of a whole domain into simpler parts has several advantages:
  • Accurate representation of complex geometry
  • Inclusion of dissimilar material properties
  • Easy representation of the total solution
  • Capture of local effects.
A typical work out of the method involves (1) dividing the domain of the problem into a collection of subdomains, with each subdomain represented by a set of element equations to the original problem, followed by (2) systematically recombining all sets of element equations into a global system of equations for the final calculation. The global system of equations has known solution techniques, and can be calculated from the initial values of the original problem to obtain a numerical answer.
In the first step above, the element equations are simple equations that locally approximate the original complex equations to be studied, where the original equations are often partial differential equations (PDE). To explain the approximation in this process, FEM is commonly introduced as a special case ofGalerkin method. The process, in mathematical language, is to construct an integral of the inner product of the residual and the weight functions and set the integral to zero. In simple terms, it is a procedure that minimizes the error of approximation by fitting trial functions into the PDE. The residual is the error caused by the trial functions, and the weight functions are polynomial approximation functions that project the residual. The process eliminates all the spatial derivatives from the PDE, thus approximating the PDE locally with
These equation sets are the element equations. They are linear if the underlying PDE is linear, and vice versa. Algebraic equation sets that arise in the steady state problems are solved using numerical linear algebra methods, while ordinary differential equation sets that arise in the transient problems are solved by numerical integration using standard techniques such as Euler's method or the Runge-Kutta method.
In step (2) above, a global system of equations is generated from the element equations through a transformation of coordinates from the subdomains' local nodes to the domain's global nodes. This spatial transformation includes appropriate orientation adjustments as applied in relation to the reference coordinate system. The process is often carried out by FEM software using coordinate data generated from the subdomains.
FEM is best understood from its practical application, known as finite element analysis (FEA). FEA as applied in engineering is a computational tool for performing engineering analysis. It includes the use of mesh generation techniques for dividing a complex problem into small elements, as well as the use ofsoftware program coded with FEM algorithm. In applying FEA, the complex problem is usually a physical system with the underlying physics such as theEuler-Bernoulli beam equation, the heat equation, or the Navier-Stokes equations expressed in either PDE or integral equations, while the divided small elements of the complex problem represent different areas in the physical system.
FEA is a good choice for analyzing problems over complicated domains (like cars and oil pipelines), when the domain changes (as during a solid state reaction with a moving boundary), when the desired precision varies over the entire domain, or when the solution lacks smoothness. For instance, in a frontal crash simulation it is possible to increase prediction accuracy in "important" areas like the front of the car and reduce it in its rear (thus reducing cost of the simulation). Another example would be in numerical weather prediction, where it is more important to have accurate predictions over developing highly nonlinear phenomena (such as tropical cyclones in the atmosphere, or eddies in the ocean) rather than relatively calm areas.
REFERENCE:
www.wikipedia.com

Application



Visualization of how a car deforms in an asymmetrical crash using finite element analysis.A variety of specializations under the umbrella of the mechanical engineering discipline (such as aeronautical, biomechanical, and automotive industries) commonly use integrated FEM in design and development of their products. Several modern FEM packages include specific components such as thermal, electromagnetic, fluid, and structural working environments. In a structural simulation, FEM helps tremendously in producing stiffness and strength visualizations and also in minimizing weight, materials, and costs.
EM allows detailed visualization of where structures bend or twist, and indicates the distribution of stresses and displacements. FEM software provides a wide range of simulation options for controlling the complexity of both modeling and analysis of a system. Similarly, the desired level of accuracy required and associated computational time requirements can be managed simultaneously to address most engineering applications. FEM 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 FEM has substantially decreased the time to take products from concept to the production line.[12] It is primarily through improved initial prototype designs using FEM that testing and development have been accelerated. In summary, benefits of FEM 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.
FEA has also been proposed to use in stochastic modelling for numerically solving probability models.

Thursday, 7 January 2016

FEA Solidwork

Finite Element Analysis



    Efficiently optimize and validate each design step using fast-solving, CAD integrated SOLIDWORKS Simulation to ensure quality, performance, and safety.
    Tightly integrated with SOLIDWORKS CAD, SOLIDWORKS Simulation solutions and capabilities can be a regular part of your design process—reducing the need for costly prototypes, eliminating rework and delays, and saving time and development costs.

    Finite Element Modeling

    SOLIDWORKS Simulation uses the displacement formulation of the finite element method to calculate component displacements, strains, and stresses under internal and external loads. The geometry under analysis is discretized using tetrahedral (3D), triangular (2D), and beam elements, and solved by either a direct sparse or iterative solver. SOLIDWORKS Simulation also offers the 2D simplification assumption for plane stress, plane strain, extruded, or axisymmetric options. SOLIDWORKS Simulation can use either an h or p adaptive element type, providing a great advantage to designers and engineers as the adaptive method ensures that the solution has converged.
    In order to streamline the model definition, SOLIDWORKS Simulation automatically generates a shell mesh (2D) for the following geometries:
    • Sheet metal body—SOLIDWORKS Simulation assigns the thickness of the shell based on the 3D CAD sheet metal thickness, so Product Designers can leverage the 3D CAD data for Simulation purposes.
    • Surface body
    For shell meshing, SOLIDWORKS Simulation offers a productive tool, called the Shell Manager, to manage multiple shell definitions of your part or assembly document. It improves the workflow for organizing shells according to type, thickness, or material, and allows for a better visualization and verification of shell properties.
    SOLIDWORKS Simulation also offers the 2D simplification assumption for plane stress, plane strain, extruded, or axisymmetric options.
    Product Engineers can simplify structural beams to optimize performance in Simulation to be modeled with beam elements. Straight, Curved, and tapered Beams are supported. SOLIDWORKS Simulation automatically converts structural members that are created as weldment features in 3D CAD as beam elements for quick setup of the simulation model.
    SOLIDWORKS Simulation can use either an h or p adaptive element type, providing a great advantage to designers and engineers, as the adaptive method ensures that the solution has converged. Product Engineers can review the internal mesh elements with the Mesh Sectioning Tools to check the quality of the internal mesh and make adjustments to mesh settings before running the study.
    Users can specify local mesh control at vertices, edges, faces, components, and beams for a more accurate representation of the geometry.
    Integrated with SOLIDWORKS 3D CAD, finite element analysis using SOLIDWORKS Simulation knows the exact geometry during the meshing process. And the more accurately the mesh matches the product geometry, the more accurate the analysis results will be.

    Finite Element Analysis (FEA)

    Since the majority of industrial components are made of metal, most FEA calculations involve metallic components. The analysis of metal components can be carried out by either linear or nonlinear stress analysis. Which analysis approach you use depends upon how far you want to push the design:
    • If you want to ensure the geometry remains in the linear elastic range (that is, once the load is removed, the component returns to its original shape), then linear stress analysis may be applied, as long as the rotations and displacements are small relative to the geometry. For such an analysis, factor of safety (FoS) is a common design goal.
    • Evaluating the effects of post-yield load cycling on the geometry, a nonlinear stress analysis should be carried out. In this case, the impact of strain hardening on the residual stresses and permanent set (deformation) is of most interest.
    The analysis of nonmetallic components (such as, plastic or rubber parts) should be carried out using nonlinear stress analysis methods, due to their complex load deformation relationship. SOLIDWORKS Simulation uses FEA methods to calculate the displacements and stresses in your product due to operational loads such as:
    • Forces
    • Pressures
    • Accelerations
    • Temperatures
    • Contact between components
    Loads can be imported from thermal, flow, and motion Simulation studies to perform multiphysics analysis.

    Mesh definition

    SOLIDWORKS Simulation offers the capability to mesh the CAD geometry in tetrahedral (1st and 2nd order), triangular (1st and 2nd order), beam, and truss elements. The mesh can consist of one type of elements or multiple for mixed mesh. Solid elements are naturally suitable for bulky models. Shell elements are naturally suitable for modeling thin parts (such as sheet metals), and beams and trusses are suitable for modeling structural members.
    As SOLIDWORKS Simulation is tightly integrated inside SOLIDWORKS 3D CAD, the topology of the geometry is used for mesh type:
    • Shell mesh is automatically generated for sheet metal model and surface bodies
    • Beam elements are automatically defined for structural members
    So their properties are seamlessly leveraged for FEA.
    To improve the accuracy of results in a given region, the user can define Local Mesh control for vertices, points, edges, faces, and components.
    SOLIDWORKS Simulation uses two important checks to measure the quality of elements in a mesh:
    • Aspect Ratio Check
    • Jacobian Points
    In case of mesh generation failure, SOLIDWORKS Simulation guides the users with a failure diagnostics tool to locate and resolve meshing problems. The Mesh Failure Diagnostic tool renders failed parts in shaded display mode in the graphics area.