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Vibration Fatigue Analysis of Cylinder Head of a New Two-Stroke Free Poston Engine Using Finite Element Approach

M. M. Rahman1, A. K. Ariffin1, N. Jamaludin1, C. H. C. Haron1

1 Department of Mechanical and Materials Engineering, Universiti Kebangsaan Malaysia (UKM) 43600 Bangi, Selangor DE, Malaysia. Phone:+(6)3-89216012; Fax: + (6)3-89216040 E-mail: mustafiz@eng.ukm.my, kamal@eng.ukm.my

Structural Durability & Health Monitoring 2005, 1(2), 121-130. https://doi.org/10.3970/sdhm.2005.001.121

Abstract

The focus of this paper is to design a new two-stroke linear generator engine. This paper describes the finite element based vibration fatigue analysis techniques that can be used to predict fatigue life using total life approach. Fatigue damage in traditionally determined from time signals of loading, usually in the form of stress and strain. However, there are scenarios when a spectral form of loading is more appropriate. In this case the loading is defined in terms of its magnitude at different frequencies in the form of a power spectral density (PSD) plot. A power spectral density function is the most common way to representing the loading in the frequency domain. The PSD simply shows the frequency content of the time signal and is an alternative way of specifying the time signal. It is obtained by utilizing the Fast Fourier Transform. A frequency domain fatigue calculation can be utilized where the random loading and response are categorized using power spectral density functions and the dynamic structure is modeled as a linear transfer function. This paper describes how this technique can be implemented in the finite element environment to rapidly identify critical areas in the structure. This significantly reduces cost, time to market; improve product reliability and customer confidence consequences of premature produce failure.

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Cite This Article

Rahman, M. M., Ariffin, A. K., Jamaludin, N., H., C. (2005). Vibration Fatigue Analysis of Cylinder Head of a New Two-Stroke Free Poston Engine Using Finite Element Approach. Structural Durability & Health Monitoring, 1(2), 121–130.



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