Predictive Modelling and Optimization of Cutting Tool Life and Machine Vibration for Making a Poppet Valve

Someswar Dey, Nirmal Kumar Mandal

Abstract


Abstract

The present work has been done to investigate experimentally the relationship between Machine Vibration and Tool Life in turning of EN 31 steel for making a Poppet Valve using Response Surface Methodology (RSM) & Fuzzy Logic. Response Surface Methodology (RSM) is a method of obtaining the best suited result from minimal number of experiments and Fuzzy logic is used for optimization. Thus the work process becomes less tedious, i.e., with minimal effort one can come to an almost precise outcome. In this case, RSM has been used to predict the Machine Vibration and Tool Life under various machining conditions. Machine Vibration and Tool Life are the main parameters that have been dealt with in this work. The proposed work is mainly based on finding a relationship about how machine vibration can affect the tool life of the cutting tool. The proposed method is easy to carry out in the workshop area, easy to maintain and easy to understand because assessing the images of cutting tool is easy. Also, this method is flexible to use for different machining process using this Carbide Insert (CNMG 120408 EA TT5080). After the experiments has been done the following results has been found: the levels of process cutting parameters in the study are limited to the following data Speed (900, 1400, 1900 rpm), Feed rate (0.07, 0.12, 0.17 mm/rev.), Depth of Cut (0.08, 0.18, 0.28 mm).

Keywords: Machine Vibration, Tool Life, Response Surface Methodology (RSM), Fuzzy Logic, EN 31, Carbide Insert.

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References


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