首页|基于灰色关联分析方法和熵权法的纵扭超声振动螺旋磨削制孔工艺参数优化

基于灰色关联分析方法和熵权法的纵扭超声振动螺旋磨削制孔工艺参数优化

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为优化纵扭超声振动辅助螺旋磨削制孔工艺参数和提高加工性能,以氧化锆陶瓷为研究对象,选取螺距、螺旋进给速度、主轴转速和超声振幅为工艺参数,设计了四因素三水平正交试验,并测量其磨削力、孔壁表面粗糙度和孔底表面粗糙度;借助灰色关联分析方法和熵权法得到最优工艺参数为螺距3.5μm,螺旋进给速度875mm/min,主轴转速20000r/min,超声振幅6μm;螺距、超声振幅、主轴转速、螺旋进给速度对灰色关联度的影响程度依次降低.建立了灰色关联度、目标参数与工艺参数的经验预测模型,得到最优工艺参数为螺距3.0μm,螺旋进给速度875mm/min,主轴转速22000r/min,超声振幅6μm;孔壁和孔底的表面粗糙度分别为0.12789μm和0.38137μm,磨削力为9.482N,且关联度略优于正交试验最大关联度.
Optimization of Processing Parameters for Longitudinal-torsional Composite Ultrasonic Vibration Assisted Helical Grinding for Hole Making Based on Grey Relational Analysis and Entropy Weight Method
In order to optimize parameters of the longitudinal-torsional ultrasonic vibration assisted helical grinding for hole making and improve the processing performance,taking zirconia ceramics as the research object,and pitch,spiral feed speed,spindle speed and ultrasonic amplitude as the process parameters,and the orthogonal method is used to design exper-iment with four factors and three levels,and to measure the grinding force,surface roughness of the wall and bottom of the hole.Using grey correlation analysis and entropy weight method,the optimal process parameters are as follows:pitch is 3.5μm,spiral feed speed is 875mm/min,spindle speed is 20000r/min,ultrasonic amplitude is 6μm.The influence of pitch,ultrasonic amplitude,spindle speed and spiral feed speed on grey correlation degree are decreased successively.The empirical prediction model of grey correlation degree,target parameters and process parameters is established.The optimal process parameters are as follows:pitch is 3.Oμm,spiral feed speed is 875mm/min,spindle speed is 22000r/min,ultrasonic amplitude is 6μm.The surface roughness of the wall and bottom of the hole are 0.12789μm and 0.38137μm,and the grinding force is 9.482N,and the correlation degree is slightly better than the maximum correlation degree of the orthogonal experiment.

longitudinal-torsional composite ultrasonic vibrationhelical grindinghole machininggrey relational analysis

林佳杰、魏昕、杨宇辉

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广东机电职业技术学院电气技术学院

广东工业大学机电工程学院

东莞理工学院机械工程学院

纵扭超声振动 螺旋磨削 孔加工 灰色关联分析

国家自然科学基金

51175092

2024

工具技术
成都工具研究所

工具技术

CSTPCD北大核心
影响因子:0.147
ISSN:1000-7008
年,卷(期):2024.58(1)
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