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Articles by N. Jamaludin
Total Records ( 2 ) for N. Jamaludin
  M.M. Rahman , A.K. Ariffin , N. Jamaludin , S. Abdullah and M.M. Noor
  This study presents the finite element based fatigue life prediction of a new free piston linear generator engine mounting. The objective of this research is to assess the critical fatigue locations on the component due to loading conditions. The effects of mean stress and probabilistic nature on the fatigue life are also investigated. Materials SAE 1045-450-QT and SAE 1045-595-QT are considered in this study. The finite element modeling and analysis was performed using computer-aided design and finite element analysis codes. In addition, the fatigue life prediction was carried out utilizing the finite element based fatigue code. Total-life approach and crack initiation approach were applied to predict the fatigue life of the free piston linear engine mounting. The results show the contour plots of fatigue life and damage histogram at the most damaging case. The comparison between the total-life approach and crack initiation approach were investigated. From the results, it can be concluded that Morrow mean stress correction method gives the most conservative (less life) results for crack initiation method. It can be seen that SAE 1045-595-QT material gives consistently higher life than SAE 1045-450-QT material for all loading conditions for both methods.
  M.Z. Nuawi , M.J. M. Nor , N. Jamaludin , S. Abdullah , F. Lamin and C.K. E. Nizwan
  This study presents the development of an alternative statistical analysis method called Integrated Kurtosis-based Algorithm for Z-filter (I-kaz). The I-kaz analysis was developed in order to measure the degree of data scattering with respect to the data centroid for a dynamic signal analysis. The I-kaz parameter of a particular signal was determined by the value of I-kaz coefficient. The algorithm of I-kaz analysis provides a three dimensional graphic display of the magnitude distribution, which each axis represents the data distribution of the signal at three different frequency ranges. The I-kaz method which is a graphic-based technique is a proactive signal analysis tools because the relevant information can be extracted and the I-kaz space of scattering can be directly interpreted. The reliability of the I-kaz method has been evaluated by observing the I-kaz coefficient for a multivariate signal analysis and the trend of the coefficient values were compared to the existing statistical parameters, which are the standard deviation, variance, kurtosis and root mean square (rms). Finally, the applicability of the I-kaz method was accordingly verified.
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