Scholarlink

<p>On-machine geometric measurement in wire electrical discharge machining (WEDM) is important for precision manufacturing, but its industrial applicability depends strongly on both accuracy and repeatability. This study investigates and optimizes the repeatability of an inter-electrode-impedance-based on-machine measurement method using a sequential design-of-experiments framework. Six candidate factors were first screened using a definitive screening design, followed by a targeted augmented experiment and response-surface modeling in a reduced factor space. Using the log-transformed standard deviation of repeated measurements as the response, the analysis identified flushing flow rate and wire axial speed as the dominant factors. A corrected quadratic model provided adequate interpolation and enabled identification of a practical local optimum and operating window. The predicted optimum, with a flushing flow rate of around 0.088&#xa0;L/min and a wire axial speed of 3.715&#xa0;m/s, yielded a predicted standard deviation of around 1.13&#xa0;μm. Confirmation experiments at a nearby recommended setting achieved an observed standard deviation of 0.995&#xa0;μm, suggesting a practically meaningful 38.4% reduction relative to the nominal benchmark condition.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Repeatability analysis and optimization of inter-electrode-impedance-based on-machine measurement in WEDM

  • 期刊论文

  • 发表日期：

    2026年7月29日

查看全文
  • Yilin Guan,
  • Fuzhu Han

摘要

On-machine geometric measurement in wire electrical discharge machining (WEDM) is important for precision manufacturing, but its industrial applicability depends strongly on both accuracy and repeatability. This study investigates and optimizes the repeatability of an inter-electrode-impedance-based on-machine measurement method using a sequential design-of-experiments framework. Six candidate factors were first screened using a definitive screening design, followed by a targeted augmented experiment and response-surface modeling in a reduced factor space. Using the log-transformed standard deviation of repeated measurements as the response, the analysis identified flushing flow rate and wire axial speed as the dominant factors. A corrected quadratic model provided adequate interpolation and enabled identification of a practical local optimum and operating window. The predicted optimum, with a flushing flow rate of around 0.088 L/min and a wire axial speed of 3.715 m/s, yielded a predicted standard deviation of around 1.13 μm. Confirmation experiments at a nearby recommended setting achieved an observed standard deviation of 0.995 μm, suggesting a practically meaningful 38.4% reduction relative to the nominal benchmark condition.