ANALYSIS AND EVALUATION OF MACHINING RESPONSES DURING HARD TURNING OF EN353 STEEL
Journal Title: International Journal of Mechanical and Production Engineering Research and Development (IJMPERD ) - Year 2017, Vol 7, Issue 2
Abstract
Estimation, prediction and analysis of responses in turning operation is one of the key research areas. This paper studies the performance of coated inserts (PVD and CVD) in hard machining. In this analysis, 27sets of hard turning experimental trials were performed on a plain turning lathe to study the effect of cutting parameters in influencing the machined surface roughness, material removal rate and power consumption. In all the trials, EN353steel work piece (hardness up to 62 HRC) was machined with commercially available carbide inserts under dry conditions. The machining outcome was used as an input to develop regression models to predict the machined responses on this material. The analysis of this model was used to develop Multi-Objective equation within the specified range of constraints to ascertain the influence of cutting speed, spindle feed and depth of cut to correlate these variables on the stated responses. It was concluded that the multi linear regression model is a choice for prediction of machining responses during machining of EN353 steel (62 HRC) and the results are effective and comparable with Genetic Algorithm (GA) and Artificial Neural Networks (ANN).
Authors and Affiliations
A. V. N. L. SHARMA, G. KRISHNAIAH
Keywords
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