ABSTRACT

Manufacturing cost and productivity in machining systems can be significantly affected by the optimized input sources. Further, metal cutting industries have shown curiosity toward surface textured tools due to gain in productivity. In this context, new textured tools were developed and machinability studies were carried out on AISI 304 material under eco-friendly technique namely Minimum Quantity Lubrication (MQL) with so developed tools. The novel textured tools were fabricated by making circular micro pit holes on the rake face of the tungsten carbide tool using laser technology. In this work, a new weighted gray relation analysis (WGRA) integrated Jaya algorithm is proposed to determine the best cutting parameters. From the result, it is found that 54%, 7% respective reduction in surface roughness (R_a) and tool wear (V_b) and 27% increment in material removal rate (MRR) at the optimum conditions determined by the proposed optimization technique. It is concluded that the proposed work meets the environmental sustainability requirements and improved the turning process performance.

摘要

加工系统的制造成本和生产率会受到优化输入源的显着影响。此外，由于生产率的提高，金属切削行业对表面纹理工具表现出好奇。在这种情况下，开发了新的纹理工具，并在生态友好技术（即最小量润滑（MQL））下使用如此开发的工具对 AISI 304 材料进行了机械加工性研究。通过使用激光技术在碳化钨刀具的前刀面上制作圆形微凹坑孔来制造新型纹理刀具。在这项工作中，提出了一种新的加权灰色关系分析（WGRA）集成 Jaya 算法来确定最佳切割参数。结果表明，表面粗糙度（R _a) 和刀具磨损 (V _b ) 以及在所提出的优化技术确定的最佳条件下材料去除率 (MRR) 增加 27%。得出的结论是，所提出的工作符合环境可持续性要求并改善了车削工艺性能。