中国机械工程

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铁基非晶合金涂层切削工艺参数优化和切削力预测

王敏   

  1. 北京化工大学机电学院,北京,100029
  • 出版日期:2017-11-10 发布日期:2017-11-07
  • 基金资助:
    循环经济和资源节约重大示范项目(2111301)

Cutting Parameter Optimization and Cutting Force Prediction for Fe-based Amorphous Alloy Spray-fused Coatings

WANG Min   

  1. School of Mechanical Engineering,Beijing University of Chemical Technology,Beijing,100029
  • Online:2017-11-10 Published:2017-11-07

摘要: 采用响应曲面法中的Box-Behnken 实验设计方法(BBD),设计出四因素三水平的Fe基非晶合金涂层切削力实验方案,研究切削参数(切削速度、进给量和切削深度)和刀具结构参数的变化对Fe基非晶合金涂层切削力的影响规律和影响因素,运用方差分析法获取了影响切削力分量的显著性水平,得到低切削速度下Fe基非晶合金涂层的最佳切削工艺参数。通过对实验数据的多元二次拟合,建立了Fe基非晶合金切削力最小二乘回归预测模型,并通过实例验证了Fe基非晶合金涂层切削力预测模型的可行性和实用性。

关键词: Fe基非晶合金, 喷涂层, 响应曲面法, 切削工艺参数优化, 切削力预测

Abstract: The RSM of Box-Behnken design (BBD) was adopted in cutting force experiments about Fe-based amorphous alloy spray-fused coatings. And then four factor and three level tests of Fe-based amorphous alloy spray-fused coating machining scheme were designed by means of BBD experiments. The influence laws of tool and cutting parameters (cutting speed,feed and cutting depth) on cutting force components were analysed and these influence reasons were discussed. Significant levels of factors affected the cutting force components were obtained by the applications of variance analysis method, which offered the optimum cutting parameters in lower cutting speeds. According to multiple quadratic fitting of testing data, the least square regressive method predictive formula for the cutting forces of Fe-based amorphous alloy spray-fused coating was established. Finally, the feasibility and practicability of the models for cutting forces was verified through practical examples.

Key words: Fe-based amorphous alloy, spray-fused coating, response surface method(RSM), cutting parameter optimization;cutting force prediction

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