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• W2527093293 abstract "A R T I C L E I N F O Spindle bearing vibration, Modal analysis, Surface roughness profile, LabVIEW, Neural Network. Received 10 May 2011 Accepted 13 May 2011 Available online 19 May 2011 There are remarkable forward strides in the manufacturing process with the tremendous technological innovations. In order to increase productivity, enhance quality and reduce cost, machine tool have to work free of any malfunction. Vibration responses are the proven measure of the malfunction. The main objective of this study is dedicated to the experimental vibration analysis of the spindle bearing assembly with self-exited vibration. Experimental Modal analysis was carried out to obtain the natural frequency and vibration responses are investigated at various parametric levels and combinations using LabVIEW software. The parameters in the investigation include feed, depth of cut, and cutting speed. Output parametric is surface finish and vibration level. Multilayer perceptron neural network model has been constructed with feed forward back-propagation algorithm using the acquired data. On the completion of the experimental test ANN is used to validate the results. ________________________________ * Corresponding Author" @default.
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• W2527093293 date "2011-05-01" @default.
• W2527093293 modified "2023-09-27" @default.
• W2527093293 title "The Effect of Spindle Vibration on Surface Roughness of Workspiece in Dry Turning Using Ann" @default.
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