首页|基于响应曲面法的难加工材料切削力系数预测与分析

基于响应曲面法的难加工材料切削力系数预测与分析

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针对飞机起落架用 300M材料的切削加工,提出一种基于响应曲面法的难加工材料切削力系数预测方法,对预测结果进行了显著性分析,并探索了切削参数对切削力系数和切削力的影响规律.基于响应曲面法,将切削力系数表示为关于切削参数的二次多项式形式;利用平均切削力系数辨识模型得到不同切削参数组合 300M正交实验的切削力系数常量,运用多元回归分析得到二次多项式函数中的系数,并进行方差分析和显著性检验;对切削力系数和切削力建立关于切削参数的响应曲面图进行分析.结果表明,300M切削力系数回归函数具有较高的预测精度,可用来预测特定切削参数下的切削力系数,切宽和每齿进给量主要对切削力系数Ktc和Krc有较大影响,切深主要对切削力系数Kac有较大影响.
Prediction and analysis of cutting force coefficient of difficult materials based on response surface method
A prediction method for the cutting force coefficient of difficult-to-machine materials based on response surface method was proposed for the plane gantry to be cut with 300M materials,the significance of the prediction results was analyzed,and the influence of cutting parameters on cutting force coefficient and cutting force was explored.Based on the response surface method,the cutting force coefficient was expressed as a quadratic polynomial about the cutting parameters.By using the average cutting force coefficient identification model,the cutting force coefficient constants of 300M orthogonal experiments with different cutting parameters were obtained,the coefficients in quadratic polynomial function were obtained by multiple regression analysis,and analysis of variance and significance test were carried out.The cutting force coefficient and the response surface graph of cutting parameters were analyzed.The results showed that the regression function of 300M cutting force coefficient had high prediction accuracy and could be used to predict the cutting force coefficient under specific cutting parameters.The cutting width and feed rate per tooth have a great influence on the cutting force coefficient Ktc and Krc,and the cutting depth has a great influence on the cutting force coefficient Kac.

surface of responsecutting force coefficientcutting forcedifficult-to-machine material

范双才、孙朝阳、胡祖江

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武汉科技大学 冶金装备及其控制教育部重点实验室,湖北 武汉 430081

华中科技大学 数字装备国家重点实验室,湖北 武汉 430074

响应曲面 切削力系数 切削力 难加工材料

国家自然科学基金湖北省重点研发计划

520052012022BAA059

2024

农业装备与车辆工程
山东省农业机械科学研究所 山东农机学会

农业装备与车辆工程

影响因子:0.279
ISSN:1673-3142
年,卷(期):2024.62(1)
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