大腔体六面顶金刚石压机铰链梁锻造模具结构多参数优化  

Multi-parameter optimization of forging die structure for hinge beam of large cavity hexahedral top diamond press

作　　者：王良文 刘飞飞 汪曙光[2] 司亮 谢贵重 李轲 鲁海霞 WANG Liang-wen;LIU Fei-fei;WANG Shu-guang;SI Liang;XIE Gui-zhong;LI Ke;LU Hai-xia(Henan International Joint Laboratory of Complex Mechanical Equipment Intelligent Monitoring and Control,Mechanical and Electrical Engineering Institute,Zhengzhou University of Light Industry,Zhengzhou 450002,China;Henan Huanghe Whirlwind Co.,Ltd.,Changge 461500,China;Zhongyuan Critical Metals Laboratory,Zhengzhou University,Zhengzhou 450000,China;Henan Huanghe Tanaka Keme Press Co.,Ltd.,Changge 461500,China)

机构地区：[1]郑州轻工业大学机电工程学院、河南省复杂机械装备智能监测与控制国际联合实验室,河南郑州450002 [2]河南黄河旋风股份有限公司,河南长葛461500 [3]郑州大学中原关键金属实验室,河南郑州450000 [4]河南黄河田中科美压力设备有限公司,河南长葛461500

出　　处：《塑性工程学报》2024年第5期94-105,共12页Journal of Plasticity Engineering

基　　金：国家自然科学基金资助项目(52075500,52304301);河南省揭榜挂帅重大科技项目(211110220200);河南省科技攻关项目(232102221033)。

摘　　要：针对大腔体六面顶金刚石压机关键部件铰链梁的锻造过程进行了研究。为提高铰链梁锻造模具的使用寿命,利用Deform-3D软件对终锻过程进行了模拟,并对模具结构参数进行了优化。首先以模具应力为优化目标,选取模具边角及圆角处的7个结构参数为设计变量。通过Plackett-Burman Design筛选出对模具应力影响较显著的变量,将其作为最终优化变量进行研究。利用Box-Behnken Design抽样并建立了响应面回归模型,在拟合模型有效的前提下,通过引入动态惯性权重及学习因子改进粒子群算法,利用其寻优得到最优模具结构参数,并通过有限元仿真验证了结果的可靠性。结果表明,通过对模具结构的多参数优化,模具应力减少了25%,模具使用寿命得到显著提高。The forging process of hinge beam which is the key part of large cavity hexahedral top diamond press was studied.In order to improve the service life of the hinge beam forging die,the final forging process was simulated by Deform-3D software,and the die structure parameters were optimized.First of all,the die stress was taken as the optimization object,and seven structural parameters at the die corners and fillets were selected as design variables.The variables with significant influence on die stress were selected by Plackett-Burman Design(PBD),which were studied as the final optimization variables.The response surface regression model was established by using Box-Behnken Design(BBD)sampling.On the premise that the fitting model was effective,the particle swarm optimization algorithm was improved by introducing dynamic inertia weight and learning factor,and the optimal die structure parameters were obtained by its optimization.The reliability of the results was verified by finite element simulation.The results show that through the multi-parameter optimization of the die structure,the die stress is reduced by 25%,and the service life of the die is significantly improved.

关 键 词：六面顶金刚石压机 铰链梁 锻造成形 锻造模具 多参数优化 

分 类 号：TG315.2[金属学及工艺—金属压力加工]