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SLD8 is an 8% Cr 2% Mo, cold tool steel with high hardness and high toughness, established one decade ago by Hitachi Metals, Japan. It has excellent tool and die life; hence it is extensively used in tool and die-making industries. In this study, an attempt has been made to investigate the material removal rate (MRR) using the machining parameters such as pulse-on (Ton) time, pulse-off (Toff) time, gap voltage (v), and wire tension (WT) on wire electrical discharge machining (WEDM) of SLD8 tool steel to increase the productivity in the manufacturing industries. An orthogonal array L16 was used to conduct experiments using Taguchi’s method. The MRR was calculated by examining the effects of machining parameters, and the experimental data was analyzed using an ANOVA. Minitab software was used to generate a second-order response surface model using response surface methodology (RSM). The experimental results indicate that the pulse off (Toff) time significantly influences the MRR followed by pulse on (Ton) time. The predicted values are very close to the experimental values.

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Machining Parameters Optimization on Material Removal Rate in WEDM of SLD 8 Tool Steel Using DOE and RSM Techniques

  • 会议论文

  • 发表日期：

    2025年

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  • R. Anburaj,
  • Clifton Stephen,
  • Sampath Suranjan Salins

摘要

SLD8 is an 8% Cr 2% Mo, cold tool steel with high hardness and high toughness, established one decade ago by Hitachi Metals, Japan. It has excellent tool and die life; hence it is extensively used in tool and die-making industries. In this study, an attempt has been made to investigate the material removal rate (MRR) using the machining parameters such as pulse-on (Ton) time, pulse-off (Toff) time, gap voltage (v), and wire tension (WT) on wire electrical discharge machining (WEDM) of SLD8 tool steel to increase the productivity in the manufacturing industries. An orthogonal array L16 was used to conduct experiments using Taguchi’s method. The MRR was calculated by examining the effects of machining parameters, and the experimental data was analyzed using an ANOVA. Minitab software was used to generate a second-order response surface model using response surface methodology (RSM). The experimental results indicate that the pulse off (Toff) time significantly influences the MRR followed by pulse on (Ton) time. The predicted values are very close to the experimental values.