[This article belongs to Volume - 54, Issue - 02]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-16-08-2022-284

Title : PARAMETRIC OPTIMIZATION OF Al7068/ROCK DUST AMMC USING STATISTICAL ANALYSIS
Prashanth B, N B Doddapattar, S Adil Ahmed

Abstract :

Using an experimental inquiry on aluminium alloys and the Taguchi methodology, this study tried to discover and tie the technical factors to the economics of the machining process. This was done by performing the study using the Taguchi technique. That was the purpose of carrying out this project. If you optimise one parameter, it will have a negative influence on the other parameters, and optimising a large number of parameters at the same time will be far more challenging. This paper investigates and reports on the impact that varying milling parameters, such as speed and feed, depth of cut, and rock dust composition, on Al7068/Rock Dust Aluminum Composite. There are several aspects to think about, such as the speed, feed, depth of cut, and the composition of the rock dust. To get commenced, the most fulfilling configuration of the 4 turning parameters was located through using the Taguchi’s Technique L16 Orthogonal array and making modifications to every of the four levels and 4 Components. This was done in order to find the optimum answer. This modification was carried out in order to get the most favourable outcome. After the machining process has been completed, the data is obtained and then compared using software designed for statistical analysis. According to the results of the research, the examination of the S/N ratio placed the feed rate at the top of the list as the most significant factor to consider.