Sustainable and optimize manufacturing using artificial intelligence for CNC turning operations on 17-4 PH steel.

Sustainable manufacturing aims to boost output while utilising fewer resources, cutting costs, and having a smaller negative impact on the environment. Regarding the expenditure of materials, power, and resources required for creation as well as the prices of manufacturing processes, the longevity of tools used in woodworking operations is one of the most crucial variables in this context. The current research focuses on the using the rice bran oil as a cooling agent to produce minimum friction and reducing the cutting forces by using TiAln tipped insert for producing low BUE and longevity of the tool. The Taguchi's robust design was used to minimise the number of experiments using L-₉ orthogonal array. Speed (m/min) Feed (mm/rev), Depth of Cut (mm), Rice Bran oil(ml/min), were chosen as controllable process factors in the turning process, and surface roughness were engaged into consideration as performance evaluation features. The Taguchi analysis that revealed the appropriate process parameters markedly increased the turning performance when turned 17-4 PH, according to the results of the conformation tests. The rice bran oil used as a cutting fluid had significantly reduced the frictional forces and the tool insert could managed to cut all the nine samples with improved surface. [ABSTRACT FROM AUTHOR]