首页|基于遗传算法NSGA-Ⅱ的H13模具钢深孔加工参数优化

基于遗传算法NSGA-Ⅱ的H13模具钢深孔加工参数优化

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针对枪钻深孔钻削H13模具钢刀具磨损快、加工温度高的问题,以枪钻切削速度、进给量、外刃第一后角为优化对象,并以钻削轴向力和刀具温度为评价指标,设计了BBD响应面优化试验,建立有限元仿真模型,获得轴向力和刀具温度的二次多项式回归方程,最后采用NSGA-Ⅱ算法进行多目标优化求解非劣解集,与响应曲面优化结果相结合得到唯一解.结果表明:最终优化解切削速度为832.21 r/min、进给量为0.011 2 mm/r、外刃第一后角为9.35°,轴向力和切削温度较低,此时钻削稳态平均仿真轴向力为611.2 N,实际轴向力为592.7 N;仿真温度为279.3℃,实际温度为321.1℃,为实际加工生产提供了参考方案.
Research on optimization of deep hole machining parameters for H13 steel based on NSGA-Ⅱgenetic algorithm
Addressing the rapid tool wear and high machining temperatures in gun drilling of H13 die steel,it aimed to optimize the gun drill's cutting speed,feed rate,and the first clearance angle of the outer blade.Drilling axial force and tool temperature were selected as the evaluation met-rics.A box-behnken design(BBD)response surface optimization experiment was conducted,alongside the development of a finite element simulation model,to obtain a quadratic polynomial regression equation for both axial force and tool temperature.The NSGA-Ⅱ algorithm was subse-quently utilized for multi-objective optimization to identify a non-dominated solution set,which was integrated with the response surface optimization results to derive a unique solution.The out-come indicated that the optimal solution consisted of a cutting speed of 832.21 r/min,a feed rate of 0.011 2 mm/r,and a first clearance angle of the outer edge at 9.35°.The setup resulted in lower axi-al forces and cutting temperatures,with a steady-state average simulated axial force of 611.2 N compared to an actual axial force of 592.7 N,and a simulated temperature of 279.3℃versus an ac-tual temperature of 321.1℃.

H13 die steeldeep hole machiningsimulationresponse surfaceNSGA-Ⅱ genetic al-gorithm

何涛、刘永跃、吴红兵、陈金东、裘嘉宇、熊瑞斌、蔡振权、鲍文科

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浙江理工大学 机械工程学院,浙江 杭州 310018

宁波合力科技股份有限公司,浙江 宁波 315700

浙大宁波理工学院 机电与能源工程学院,浙江 宁波 315100

宁波职业技术学院 机电工程学院,浙江 宁波 315800

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H13模具钢 深孔加工 模拟仿真 响应曲面 NSGA-Ⅱ遗传算法

宁波市重大科技任务攻关项目宁波市重大科技任务攻关项目宁波市重大攻关暨"揭榜挂帅"项目中国轻工业塑料模具工程技术研究中心开放课题(一般课题)项目宁波市企业创新联合体项目余姚市科技创新暨"揭榜挂帅"项目

2022Z0472023Z0222023Z031NZ23KF082022H0052023JH03010002

2024

10.16787/j.cnki.1001-2168.dmi.2024.08.003

模具工业
桂林电器科学研究所

模具工业

影响因子：0.637
ISSN：1001-2168
年,卷(期)：2024.50(8)