fatigue life prediction of two-stroke free piston engine

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European Journal of Scientific Research ISSN 1450-216X Vol.22 No.4 (2008), pp.480-493 © EuroJournals Publishing, Inc. 2008 http://www.eurojournals.com/ejsr.htm Fatigue Life Prediction of Two-Stroke Free Piston Engine Mounting Using Frequency Response Approach M. M. Rahman Faculty of Mechanical Engineering, Universiti Malaysia Pahang  Lebuhray a Tun Raza k, 26300 Ga mbang, Ku antan, Pah ang, Malaysi a E-mail: [email protected] Tel:+6095492207; Fax: +6095492244 A. K. Ariffin  Department of Mechanical and Materials E ngineerin g, Universi ti Kebang saan Malay sia 43600 UKM, Bangi, Selangor DE, Malaysia E-mail: [email protected] Tel: +60389216012 N. Jamaludin  Department of Mechanical and Materials E ngineerin g, Universi ti Kebang saan Malay sia 43600 UKM, Bangi, Selangor DE, Malaysia E-mail: [email protected] Tel: +60389216012 C. H. C. Haron  Department of Mecha nical and Materials E ngineerin g, Universi ti Kebang saan Malay sia 43600 UKM, Bangi, Selangor DE, Malaysia E-mail: [email protected] Tel: +60389216012 Rosli A. Bakar Faculty of Mechanical Engineering, Universiti Malaysia Pahang  Lebuhray a Tun Raza k, 26300 Ga mbang, Ku antan, Pah ang, Malaysi a E-mail: [email protected] Abstract This paper describes a vibration fatigue analysis techniques to predict the fatigue life using the frequency response approach. The life prediction results are useful for improving the component design at a very early development stage. The finite element modeling and frequency response analysis have been performed using the finite element analysis software. In addition, the fatigue life prediction was carried out using both the time domain and frequency response methods. From the results, it is observed that the Dirlik method gives the best comparable results pseudo-static time domain approach with the frequency response techniques. This paper also describes how this technique can be implemented in the finite element environment to rapidly identify critical areas in the structure. This approach is capable of determining premature products failure phenomena.

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