Experimental study and sobol sensitivity analysis in optimizing the effective parameters of dry turning process of aluminum alloy 6061-T6

One of the types of machining processes on industrial materials that is of great economic importance is the machining of aluminum alloys, which is widely used in most industries such as automotive, aircraft, military, nuclear, etc. If you study carefully, methodically and use advanced analysis methods, you can understand the effect of input parameters on output parameters more accurately and achieve a piece with the desired parameters. In this study, for the first time, the effect of important machining parameters, ie feed velocity, rotational speed and depth of cut on the quality of the machined surface has been modeled using the response surface method, and using a second-order linear regression model, the effect of each One of the input factors is investigated. Also, by using the Sobel sensitivity analysis method, the quality sensitivity of the machined surface to the changes of each of the input factors has been determined and using the Dringer algorithm, the input parameters have been optimized. After reviewing the results, the best input factors include a feed velocity of 200 mm / min, a rotational speed of 1700 rpm and a depth of cut of 1.8 mm. Also, the highest sensitivity of machining surface quality to changes in input parameters is related to the feed velocity with 50% impact, followed by the rotational speed with 42.5% and the lowest is related to the depth of cut with an impact rate of 7.5%.