02624ntm a2200241 a 4500 vtls000072668 KUKTEM 20251114204536.0 130624t2012 my da f m 000 0 eng d THE0005619(Local) 201905171141 hanafiah 201306241229 huda 201306241229 huda UMP TA347.F5 J39 2012 rs Bc. Mohamad Jazmir Hassan Mohamed Experimental and finite element evaluation of bending for stainless steel / Mohamad Jazmir Hassan Mohamed Kuantan, Pahang : UMP, 2012 vi, 62 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM Project paper (Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang - 2012 Bibliography : p. 52 The 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. Finite element method 0 0 0 1 20000 20000 2019-09-04 0 TA347.F5 J39 2012 rs Bc. 0000072671 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 6863 | TA347.F5 J39 2012 rs Bc. 0000072672 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 3825 3831 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*9992