王洋,马军,邰理想,李晓科

• 1:郑州铁路职业技术学院
• 2:郑州轻工业大学机电工程学院
• 3:河南省正大机械制造有限公司

摘要(Abstract)：

针对电火花成型（Electro Discharge Machining,EDM）工艺参数优化中建模成本与精度难以平衡带来的困扰，这里利用Co-Kriging变可信度代理模型（Variable-fidelity Surrogate Model,VFM）拟合工艺参数（脉冲电流、周率、占空比）与性能响应（加工效率，表面粗糙度等）之间的隐式关系。采用低成本多脉冲热流仿真实验获得低可信度样本，再利用物理实验得到高可信度样本，通过融合高低可信度数据，建立能够准确表达工艺参数与性能响应之间隐式关系的变可信度（Variable-Fidelity,VF）代理模型，从而实现代理模型构建精度与成本之间的平衡。最后，建立基于Co-Kriging的变可信度优化模型，并采用序列二次规划算法（SQP）对优化模型进行寻优求解。结果表明，相较于低可信度Kriging模型和高可信度Kriging模型，采用Co-Kriging模型求取的最优参数组合材料去除率最高，并且粗糙度能够满足约束要求。因此，所提出的技术在电火花成型加工优化领域具有显著的优势和应用潜力。

关键词(KeyWords)： 电火花成型加工;多脉冲热流仿真;变可信度代理模型;Co-Kriging;工艺参数优化

Abstract:

Keywords:

基金项目(Foundation): 河南省科技攻关计划项目（232102220099）

作者(Author): 王洋,马军,邰理想,李晓科

DOI: 10.19356/j.cnki.1001-3997.20260402.016

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