Optimization of Wire Electrical Discharge Machining Parameters for Invar 36 Material Using TOPSIS Method

Wire Electrical Discharge Machining (WEDM) is a contemporary method that is extensively employed for intricate machining operations, especially in materials with high hardness and intricate shapes. Invar 36, a nickel-iron alloy known for its minimal change in size with temperature and consistent dimensions, poses distinct difficulties in the process of machining because of its specific properties. This study explores the process of optimizing WEDM parameters for Invar 36 material by adopting the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approach. The study involved conducting experimental trials to analyze the influence of significant machining variables, such as pulse-on time, pulse-off time, applied current, on performance indicators such as material removal rate (MRR), surface roughness (Ra). The Taguchi based TOPSIS method was utilized to analyze the problem of multi-criteria decision-making and determine the most favorable parameter configurations. The results obtained shows the efficacy of the TOPSIS method in pinpointing the most advantageous combinations of parameters for improving the efficiency of machining and the quality of the surface of Invar 36 components. The implemented optimization method offers a structured framework for enhancing the efficiency of WEDM processes, specifically in hard to cut materials such as Invar 36. This study enhances the comprehension of Wire Electrical Discharge Machining (WEDM) of Invar 36 material and offers appreciated perceptions into the optimization of variables, which can be applied to various machining applications. Manufacturers can enhance efficiency and quality in the machining of complex components made from Invar 36 and similar materials by utilizing the TOPSIS method.