(1. 天津科技大學(xué) 機(jī)械工程學(xué)院，天津300222；
2. 中國民航大學(xué) 航空工程學(xué)院，天津300300)
摘 要: 本構(gòu)模型參數(shù)的準(zhǔn)確性是粉末成形數(shù)值模擬成功的關(guān)鍵因素。采用修正的Drucker-Prager Cap模型對(duì)金屬粉末壓制成形過程進(jìn)行模擬，基于ABAQUS-MATLAB聯(lián)合仿真平臺(tái)，利用復(fù)合形優(yōu)化算法，結(jié)合普通模壓實(shí)驗(yàn)驗(yàn)證，以數(shù)值模擬與實(shí)驗(yàn)壓制力數(shù)據(jù)的差異性形成目標(biāo)函數(shù)，對(duì)其進(jìn)行最小化，獲取本構(gòu)模型參數(shù)。采用材料參數(shù)聯(lián)合反演優(yōu)化計(jì)算Ag57.6-Cu22.4-Sn10-In10混合金屬粉末的本構(gòu)模型參數(shù)。結(jié)果表明，采用反演優(yōu)化方法計(jì)算得到的本構(gòu)模型參數(shù)較實(shí)驗(yàn)測(cè)試結(jié)果非常接近，通過粉末成形壓制力和相對(duì)密度模擬結(jié)果與文獻(xiàn)實(shí)驗(yàn)結(jié)果對(duì)比，進(jìn)一步驗(yàn)證聯(lián)合反演優(yōu)化方法的可行性。
關(guān)鍵字: 修正Drucker-Prager Cap模型；反演優(yōu)化；復(fù)合形法；材料參數(shù)
（1. School of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin 300222, China;
2. School of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, China）
Abstract:The accuracy of the constitutive model parameters is a key factor in the numerical simulation of powder forming. The modified Drucker-Prager Cap model was used to simulate the forming process of metal powder. Based on the ABAQUS-MATLAB joint simulation platform, the compound optimization algorithm was combined with the common die compaction test. The objective function was formed based on the discrepancy in force-displacement data between the numerical model prediction and the experiment. The objective function was minimized to obtain the parameters of the constitutive model. The joint inversion of material parameters was used to optimize the parameter calculation of the constitutive model for Ag57.6-Cu22.4-Sn10-In10 mixed metal powder. The results show that the constitutive model parameters calculated by the inversion optimization method are very close to the experimental results. The feasibility of the joint inversion optimization method is further verified by comparing the simulation results of the powder forming compression force and the relative density with the experimental results.
Key words: modified Drucker-Prager Cap model; inversion optimization; complex method; material parameter
