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This study aims to improve Tool Wear Rate (TWR) and Material Removal Rate (MRR) during Wire Electric Discharge Machining (WEDM) of Ni-rich NiTi Shape Memory Alloy by optimizing machining settings and analysing alloy properties. A thorough investigation of the impact of the three input parameters on machining performance has been conducted by methodically adjusting the wire feed, Toff (Rest phase), and Ton (Spark phase). A mathematical model is created to clarify the connection between these input factors and the output responses, MRR, and TWR using Response Surface Methodology (RSM). An extensive comprehension of the complex interactions between input and outcome factors is obtained by means of methodical experimentation directed by RSM. To determine the ideal set of machining parameters that optimize MRR while decreasing TWR, Taguchi optimization using a L9 array is also employed. With precision and quality being of the highest priority in a variety of biomedical applications, this research advances machining procedures specifically designed for Ni-rich NiTi SMA.

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Investigations on Material Removal Rate and Tool Wear Rate During Wire EDM of Ni Rich NiTi Shape Memory Alloy

  • 会议论文

  • 发表日期：

    2026年

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  • S. G. Gurusiddayya,
  • Vinayak N. Kulkarni,
  • V. N. Gaitonde

摘要

This study aims to improve Tool Wear Rate (TWR) and Material Removal Rate (MRR) during Wire Electric Discharge Machining (WEDM) of Ni-rich NiTi Shape Memory Alloy by optimizing machining settings and analysing alloy properties. A thorough investigation of the impact of the three input parameters on machining performance has been conducted by methodically adjusting the wire feed, Toff (Rest phase), and Ton (Spark phase). A mathematical model is created to clarify the connection between these input factors and the output responses, MRR, and TWR using Response Surface Methodology (RSM). An extensive comprehension of the complex interactions between input and outcome factors is obtained by means of methodical experimentation directed by RSM. To determine the ideal set of machining parameters that optimize MRR while decreasing TWR, Taguchi optimization using a L9 array is also employed. With precision and quality being of the highest priority in a variety of biomedical applications, this research advances machining procedures specifically designed for Ni-rich NiTi SMA.