Critical Analysis of Machining Environment in Small Scale Machining Industry

The present work deals with the use of multiple regression analysis (MRA) and higher degree response surface method (HDRSM) to calculate the response material removal rate (MRR) during the turning of material Al6063 and brass .The models were developed to find out the impact of various process parameters such as cutting speed, feed ,dept of cut, etc), work piece related parameters (dimension, material, geometry, weight, etc), Environment related parameters (temp, air flow, humidity, Lux, etc), cutting tool parameters (geometry, material and dimensions, etc ) in order to predict the performance i.e. material removal rate (MRR). From the outcome of the presented work, we observed that the accuracy of the formulated HDRSM and MRA models measured in terms of correlation coefficient (R2) were 0.967154 and 0.926826 respectively. From the R2 values, it was clear that both the modes are very effective and competent. In addition, the models formulated by using HDRSM approach were found to be more accurate and reliable. The higher values of R2 (0.96715445) and lower value of various error (0.009778066) parameters shows the adequacy and reliability of 99.456621% for HDRSM approach. Comparative study of HDRSM and MRA models disclosed the accuracy of HDRSM models hence recommended.