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作 者:周金宇 王新愿 程锦翔 王林 ZHOU Jinyu;WANG Xinyuan;CHENG Jinxiang;WANG Lin(School of Mechanical and Electrical Engineering,Jinling Institute of Technology,Nanjing 211169,Jiangsu,China;School of Mechanical Engineering,Jiangsu University of Technology,Changzhou 213001,Jiangsu,China;Nanjing Chamlion Laser Technology Co.,Ltd.,Nanjing 210012,Jiangsu,China)
机构地区:[1]金陵科技学院机电工程学院,江苏南京211169 [2]江苏理工学院机械工程学院,江苏常州213001 [3]南京铖联激光科技有限公司,江苏南京210039
出 处:《兵工学报》2024年第12期4530-4538,共9页Acta Armamentarii
基 金:国家自然科学基金项目(52075232);国家重点研发计划项目(2022YFE0138500);江苏省自然科学基金项目(BK20201112)。
摘 要:选区激光熔化(Selective Laser Melting,SLM)是当前最常见的增材制造技术之一,工艺参数、材料特性以及气氛稳定性对成形质量有重要影响。以激光功率名义值、扫描速度和扫描间距为设计变量,以激光功率、钴铬合金粉末粒径局部分布均值和风速波动度为随机参数,设计多因素多水平实验。基于秩关联原理实现不完备数据的概率增广,获取设计变量、随机参数与试样性能之间的响应面。在满足许用抗拉强度的概率约束下,以成形效率最高为优化目标,建立钴铬合金SLM工艺参数的可靠性设计优化模型。针对SLM过程随机参数非正态和功能函数非线性的问题,引入通用生成函数,融合离散枚举和随机抽样,基于自适应细分-重要抽样创新优化算法,求取最优工艺参数,在可靠性约束下获得最高成形效率。Selective laser melting(SLM)is one of the most common additive manufacturing technologies at present.The process parameters,material properties and atmosphere stability have important impacts on the forming quality.A multi-factor and multi-level experiment is designed by taking the nominal value of laser power,scanning speed and scanning pitch as design variables,and the laser power,local distribution mean value of Co-Cr alloy powder diameters,and wind speed fluctuation strength as random parameters.Based on the principle of rank correlation,the probabilistic augmentation of incomplete data is achieved to obtain the response surface among design variables,random parameters and properties of samples.The reliability-based design optimization(RBDO)model for SLM process parameters of Co-Cr alloy is established with the optimization goal of maximizing forming efficiency under the probability constraint of meeting the allowable tensile strength.Aiming at non-normal random parameters and non-linear performance function in the Co-Cr alloy SLM process,the universal generation function is introduced,discrete enumeration and random sampling are integrated,and an innovative RBDO algorithm based on adaptive subdivision-importance sampling strategy is proposed to obtain the optimal solution of SLM process parameters for achieving the highest forming efficiency under reliability constraints.
关 键 词:选区激光熔化 可靠性设计优化 钴铬合金 工艺参数 通用生成函数 秩关联
分 类 号:TN114.3[电子电信—物理电子学] TN249
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