| 000 | 02624ntm a2200241 a 4500 | ||
|---|---|---|---|
| 001 | vtls000072668 | ||
| 003 | KUKTEM | ||
| 005 | 20251114204536.0 | ||
| 008 | 130624t2012 my da f m 000 0 eng d | ||
| 020 | _aTHE0005619(Local) | ||
| 039 | 9 |
_a201905171141 _bhanafiah _c201306241229 _dhuda _y201306241229 _zhuda |
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| 040 | _aUMP | ||
| 090 | _aTA347.F5 J39 2012 rs Bc. | ||
| 100 | 0 | _aMohamad Jazmir Hassan Mohamed | |
| 245 | 1 |
_aExperimental and finite element evaluation of bending for stainless steel / _cMohamad Jazmir Hassan Mohamed |
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| 260 |
_aKuantan, Pahang : _bUMP, _c2012 |
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| 300 |
_avi, 62 p. : _bill. (some col.) ; _c30 cm. + _e1 CD-ROM |
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| 502 | _aProject paper (Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang - 2012 | ||
| 504 | _aBibliography : p. 52 | ||
| 520 | 3 | _aThe finite element method (FEM) (its practical application often known as finite element analysis (FEA)) is a numerical technique for finding approximate solutions of partial differential equations (PDE) as well as integral equations. The solution approach is based either on eliminating the differential equation completely (steady state problems), or rendering the PDE into an approximating system of ordinary differential equations, which are then numerically integrated using standard techniques such as Euler's method, Runge-Kutta. 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 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 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. | |
| 650 | 0 | _aFinite element method | |
| 999 |
_aVIRTUA40 _c3825 _d3831 |
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| 999 | _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*9992 | ||