02857nam a2200289 a 4500001001400000003000700014005001700021008004100038020002200079039011100101040000800212090003000220100002700250245008500277246008200362260003400444300005900478502010800537520148500645650002902130650002602159650001202185952012402197952013402321999002502455999008702480vtls000040718KUKTEM20251114204405.0090723t2008 my a f m 000 0 eng|d aTHE0005751(Local) 9a201905221049bhanafiahc201107132156dVLOADc200908141650dVLOADc200908141632dVLOADy200907230922zida84 aUMP aTA418.38 .M39 2008 rs Bc.0 aAhmad Mazrul Kamarudin10aEffect of surface treatment on fatigue life of pistion /cAhmad Mazrul Kamarudin3 aEffect of surface treatment on fatigue life of pistionh[electronic resource] aKuantan, Pahang :bUMP,c2008 a35 p. :bill. (some col.) ;c30 cm. +e1 computer disc aProject paper (Bachelor of Mechanical Engineering with Automotive) -- Universiti Malaysia Pahang - 20083 aPrediction of fatigue life on piston for four stroke engine using variable amplitude loading is presented. The piston is the crucial part of the internal combustion engine. The objectives of this project are to predict fatigue life of piston for four stroke engine using strain-life method, to identify the critical locations, to investigate the effect of mean stress and to optimize the component material. The structural and finite element modeling has been performed using a computer aided design and finite element analysis software package. The finite element model of component then analyzed using the Strain method approach. Finally, the stress-strain state of component obtained previously will be use as input for the fatigue life. The effected mean stress and materials optimize was also too investigated. The failure of piston can result in devastating damage to the engine including all the components from a tiny screw till a huge belting system. Life of piston needs to be improved to prevent from any unpleasant problems. The results of the analysis showed that there are no serious failure occurs at the part of the piston. However it is observed that the minimum predicted life at the critical location is 102.38e-7 under variable amplitude loading for strain-life approach. The optimization results showed 7075 T6 aluminum alloy that is the most superior material among the others. -Author- 0aFatigue testing machines 0aFinite element method 0aPistons 00104071a20000b20000d2019-09-04l0oTA418.38 .M39 2008 rs Bc.p0000038118r2019-09-04 00:00:00t1w2019-09-04yPSM 00104071a20000b20000d2019-09-04l0oCD 3412 | TA418.38 .M39 2008 rs Bc.p0000038119r2019-09-04 00:00:00t1w2019-09-04yPSM aVIRTUA40c1209d1215 aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5200*6500*6501*6502*9992