文献类型：期刊文献

英文题名：Statistical Modeling and Optimization of Laser Cladding Stellite 6/WC Composite Coating

作者：Wu, Teng[1];Shi, Wenqing[1];Xie, Linyi[1];Gong, Meimei[1];Huang, Jiang[1];Xie, Yuping[1];He, Kuanfang[2]

机构：[1]Guangdong Ocean Univ, Coll Elect & Informat Engn, Zhanjiang 524088, Peoples R China;[2]Foshan Univ, Sch Mechatron Engn & Automat, Foshan 528000, Peoples R China

年份：2022

卷号：2022

外文期刊名：ADVANCES IN MATERIALS SCIENCE AND ENGINEERING

收录：SCI-EXPANDED(收录号：WOS:000807711300004)、、EI(收录号：20222412208026)、Scopus(收录号：2-s2.0-85131413107)、WOS

基金：AcknowledgmentsThis study was supported by the National Natural Science Foundation of China (Grant no. 62073089), the Special Project for Key Fields of Higher Education in Guangdong Province (Grant no. 2020ZDZX2061), and the Postgraduate Education Innovation Project of Guangdong Ocean University (Grant no. 040502112103).

语种：英文

外文关键词：Composite coatings

外文摘要：A response surface was employed to establish a statistical model for influencing factors and response targets to study the influence of laser cladding process parameters on the quality of Co-based WC composite coating and reduce defects in the cladding layer. Analysis showed that the cladding step and laser power were the most significant factors affecting the coating's porosity area and surface flatness. Increasing the amount of WC and the laser power significantly enhanced the hardness of the coating. The validation experiments under optimized conditions showed that the predicted value of the model was in good agreement with the actual value, and the average error was less than 6%. This study presents the preparation of Co-based WC ceramic composite coating by laser cladding and the optimization of process parameters.