Optimization of wire electro discharge machining parameters using principal component analysis

Abstract Titanium and its alloys are commonly utilized in the aerospace and automobile sectors, because of its superior corrosion resistance, chemical inertness, strength properties. Machining of Titanium alloys using traditional method is extremely challenging task due to it has low thermal conduct...
Ausführliche Beschreibung

Abstract Titanium and its alloys are commonly utilized in the aerospace and automobile sectors, because of its superior corrosion resistance, chemical inertness, strength properties. Machining of Titanium alloys using traditional method is extremely challenging task due to it has low thermal conductivity, poor electrical conductivity, quick strain hardening, high cutting tool temperatures, poor surface quality, and built-up edge formation. Hence, Nontraditional machining methods, like WEDM, can overcome these technical challenges and produce complicated part forms with good surface polish with high precision. Hence, the current study focuses on how process variables affect the responses like rate of removal (RR) and roughness (Ra). Because WEDM is an extremely complicated stochastic process, even an incidental variations in one of control factors can cause the responses to change, choosing an appropriate process parameter combination is vital. As a result, to cater the needs of today's industrial technology and customers, a thorough investigation into the choosing appropriate process parameters and solutions is required. So, multi-objective optimization based on principal component analysis (PCA) was used to optimize the process parameters. Ausführliche Beschreibung