Since titanium alloys have a low thermal conductivity, it is difficult to dissipate the heat produced during cutting operations, which poses significant challenges for machining. The high cutting temperatures, chemical reactions at the tool-workpiece interface, and low elastic modulus of titanium materials are the causes of these challenges. A potentially effective manufacturing technique for creating extremely precise and complex parts out of electrically conductive materials is called EDM. The characteristics of tool electrodes are very important when using EDM titanium and its alloys. This paper presents the key findings of the research conducted in the field of Electrical Discharge Machining (EDM) with the goal of optimizing Material Removal Rate (MRR) and Tool Wear Rate (TWR). The study’s findings indicate the optimal range of process parameters that affect the Material Removal Rate (MRR) and Tool Wear Rate (TWR). Optimizing the MRR (Material Removal Rate) and TWR (Tool Wear Rate) results in energy savings through operation optimization to productivity. Improved productivity is a crucial component that impacts the country’s growth.

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Optimization of Die Sinking EDM Machining Parameters for Ferrous and Non-ferrous Material: A Review Outlook

  • Kapil Pathak,
  • Kuwar Mausam,
  • Ravindra Pratap Singh

摘要

Since titanium alloys have a low thermal conductivity, it is difficult to dissipate the heat produced during cutting operations, which poses significant challenges for machining. The high cutting temperatures, chemical reactions at the tool-workpiece interface, and low elastic modulus of titanium materials are the causes of these challenges. A potentially effective manufacturing technique for creating extremely precise and complex parts out of electrically conductive materials is called EDM. The characteristics of tool electrodes are very important when using EDM titanium and its alloys. This paper presents the key findings of the research conducted in the field of Electrical Discharge Machining (EDM) with the goal of optimizing Material Removal Rate (MRR) and Tool Wear Rate (TWR). The study’s findings indicate the optimal range of process parameters that affect the Material Removal Rate (MRR) and Tool Wear Rate (TWR). Optimizing the MRR (Material Removal Rate) and TWR (Tool Wear Rate) results in energy savings through operation optimization to productivity. Improved productivity is a crucial component that impacts the country’s growth.