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作 者:杨玉林 孙文磊[1] 秦明军 吴文宁 黄勇[1] Yang Yulin;Sun Wenlei;Qin Mingjun;Wu Wenning;Huang Yong(School of Mechanical Engineering,Xinjiang University,Urumqi 830017,Xinjiang,China)
机构地区:[1]新疆大学机械工程学院,新疆乌鲁木齐830017
出 处:《应用激光》2025年第1期46-57,共12页Applied Laser
基 金:自治区重点实验室开放课题(2020520002);激光智能焊接及表面改性关键技术在石油装备领域的应用研究与应用(2018ZD002B)。
摘 要:激光熔覆的参数对涂层质量有很大影响,合适的工艺参数有助于改善涂层的性能。应用响应面法,建立输入因素(激光功率、送粉率、扫描速度)与响应(熔宽、熔深、熔高、稀释度、显微硬度)之间的统计关系,并基于实验结果进行方差分析验证。结果表明:扫描速度对熔覆层宽度和高度影响最显著,激光功率对熔覆层深度影响最显著,扫描速度对硬度的影响最显著,送粉率对稀释率影响最显著。通过对预测模型进行研究发现,熔宽、熔高、熔深、稀释率和硬度的预测值与实验值误差分别为6.46%、0.72%、1.79%、2.47%、0.65%。The parameters of laser cladding have a significant impact on the quality of the coating,and appropriate process parameters can help improve coating performance.In this study,response surface methodology was used to establish the statistical relationship between input factors(laser power,powder feed rate,scanning speed)and responses(melting width,melting depth,melting height,dilution rate,microhardness).The experimental results were validated through variance analysis.The results showed that the scanning speed had the most significant influence on the cladding width and height,while the laser power had the most significant influence on the cladding depth.The scanning speed had the most significant impact on hardness,and the powder feed rate had the most significant impact on the dilution rate.Furthermore,the research on the predictive model revealed that the prediction errors for melting width,melting height,melting depth,dilution rate,and hardness were 6.46%,0.72%,1.79%,2.47%,and 0.65%,respectively.
分 类 号:TG174.4[金属学及工艺—金属表面处理]
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