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作 者:崔庆安[1,2] 赖旭东 CUI Qing-an;LAI Xu-dong(School of Management Engineering,Zhengzhou University,Zhengzhou 450001,China;School of Economics&Management,Shanghai Maritime University,Shanghai 201306,China)
机构地区:[1]郑州大学管理工程学院,郑州450001 [2]上海海事大学经济管理学院,上海201306
出 处:《组合机床与自动化加工技术》2021年第12期27-31,36,共6页Modular Machine Tool & Automatic Manufacturing Technique
基 金:国家自然科学基金资助项目(71571168,U1904211);国家创新方法工作专项(2019IM020200);河南省高校科技创新人才支持计划(2019-cx-007)。
摘 要:提出基于多输出最小二乘支持向量回归(MLS-SVR)的多响应曲面法优化FDM工艺参数,以降低打印件侧面尺寸误差、表面翘曲,约束打印时间。首先,在利用拉丁超立方抽样设计实验的基础上运用MLS-SVR对尺寸误差、翘曲和打印时间进行多输出拟合;然后,运用带约束遗传算法在打印时间输出不大于1173 s的约束条件下,对由尺寸误差、翘曲输出组成的复合响应进行寻优并进行实验验证;最后,在相同条件下运用传统多响应曲面法对尺寸误差、翘曲进行优化。结果显示,所提方法尺寸误差、翘曲优化结果分别为3.71‰、0.177 mm。同传统多响应曲面法相比尺寸误差减少53.39%,翘曲减少71.13%,同时可有效约束打印时间。所提方法对FDM多输出复杂系统建模能力和优化能力更强,更加适用于多输出复杂系统的建模和优化。The multi-response surface method based on multiple output least squares support vector regression(MLS-SVR)was proposed to optimize the process parameters of FDM,in order to reduce the side size error and surface warpage of the printed parts,and to restrict the printing time.Firstly,on the basis of Latin hypercube sampling design experiment,MLS-SVR was used to perform multi-output fitting for size error,warpage and print time.Then,the constrained genetic algorithm was used to optimize the composite response consisting of size error and warpage output under the constraint that the print time output was no more than 1173 s,and the experimental verification was conducted.Finally,the traditional multi-response surface method is used to optimize the size error and warpage under the same conditions.The results show that the size error and warpage optimization results of the proposed method are 3.71‰and 0.177 mm,respectively.Compared with the traditional multi-response surface method,the size error is reduced by 53.39%,the warpage is reduced by 71.13%,and the printing time is effectively constrained.The proposed method has better modeling ability and optimization ability for FDM multi-output complex system,and is more suitable for modeling and optimization of multi-output complex system.
分 类 号:TH16[机械工程—机械制造及自动化] TG506[金属学及工艺—金属切削加工及机床]
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