Influence of surface treatments on fatigue life of a two-stroke free piston linear engine component using random loading

作     者：RAHMAN M.M. ARIFFIN A.K. JAMALUDIN N. HARON C.H.C. 

作者机构：Department of Mechanical and Materials Engineering Faculty of Engineering Universiti Kebangsaan Malaysia 43600 UKM Bangi Selangor DE Malaysia 

出 版 物：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 (浙江大学学报（英文版）A辑（应用物理与工程）)

年 卷 期：2006年第7卷第11期

页      面：1819-1830页

核心收录：

学科分类：07[理学] 070102[理学-计算数学] 0701[理学-数学] 

基　　金：Project (No. 03-02-02-0056 PR0025/04-03) supported by the Inten-sification of Research in Priority Areas (IRPA)  Ministry of Science Technology and Innovation  Malaysia 

主　　题：Vibration fatigue Finite element (FE) Power spectral density function Frequency response Surface treatment 

摘      要：This paper describes the finite element (FE) analysis technique to predict fatigue life using the narrow band frequency response approach. The life prediction results are useful for improving the component design methodology at the very early development stage. The approach is found to be suitable for a periodic loading but requires very large time records to accurately describe random loading processes. This paper is aimed at investigating the effects of surface treatments on the fatigue life of the free piston linear engine’s components. Finite element modelling and frequency response analysis were conducted using computer aided design and finite element analysis commercial codes, respectively. In addition, the fatigue life prediction was carried out using finite element based fatigue analysis commercial code. Narrow band approach was specially applied to predict the fatigue life of the free piston linear engine cylinder block. Significant variation was observed between the surface treatments and untreated cylinder block of free piston engine. The obtained results indicated that nitrided treatment yielded the longest life. This approach can determine premature products failure phenomena, and therefore can reduce time to market, improve product reliability and customer confidence.