文献类型：会议论文

英文题名：Predictive Modeling of Surface Roughness Based on Response Surface Methodology after WAAM

作者：Tian, Hongyu[1,2,3];Lu, Zhenyang[1,2,3];Li, Fang[2,3];Chen, Shujun[2,3]

第一作者：Tian, Hongyu;田宏宇

通讯作者：Tian, HY[1];Tian, HY[2];Tian, HY[3]

机构：[1]Beijing Union Univ, Coll Robot, Beijing 100020, Peoples R China;[2]Beijing Univ Technol, Minist Educ, Welding Res Inst, Beijing 100124, Peoples R China;[3]Beijing Univ Technol, Minist Educ, Engn Res Ctr Adv Mfg Technol Automot Components, Beijing 100124, Peoples R China

第一机构：北京联合大学机器人学院

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Robot, Beijing 100020, Peoples R China;[2]corresponding author), Beijing Univ Technol, Minist Educ, Welding Res Inst, Beijing 100124, Peoples R China;[3]corresponding author), Beijing Univ Technol, Minist Educ, Engn Res Ctr Adv Mfg Technol Automot Components, Beijing 100124, Peoples R China.|[1141739]北京联合大学机器人学院;[11417]北京联合大学;

会议论文集：International Conference on Electronical, Mechanical and Materials Engineering (ICE2ME)

会议日期：JAN 20-21, 2019

会议地点：Wuhan, PEOPLES R CHINA

语种：英文

外文关键词：surface roughness predictive; parameters optimization; response surface methodology; WAAM

摘要：A hybrid technique of additive manufacturing and subtractive process has provided a new solution combining product design and control by software. Wire Arc Additive Manufacturing (WAAM) process wins well-respected because of its low cost and high efficiency of deposition, nevertheless the process has its limitation of high heat input and low forming accuracy. A new process of additive manufacturing with high efficiency of modeling is urgent needed which can control heat transfer, mass transfer and force transfer. To overcome the disadvantage upon, various hybrid manufacturing techniques have been developed with high efficiency and controlled modeling in recently. The machining process in hybrid manufacturing has more different characteristics from traditional material removal processes, such as residual stress and heat in the blank. These influence the whole efficiency of the hybrid manufacturing. The essential task of this paper is to explore the feasibility of thermal machining during this process and make rational use of AM in order to obtain optimal accuracy.