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激光熔覆工艺参数对熔覆层形貌的影响及优化
引用本文:于天彪,宋博学,郗文超,马哲伦.激光熔覆工艺参数对熔覆层形貌的影响及优化[J].东北大学学报(自然科学版),2019,40(4):537-542.
作者姓名:于天彪  宋博学  郗文超  马哲伦
作者单位:东北大学 机械工程与自动化学院,辽宁 沈阳,110819;东北大学 机械工程与自动化学院,辽宁 沈阳,110819;东北大学 机械工程与自动化学院,辽宁 沈阳,110819;东北大学 机械工程与自动化学院,辽宁 沈阳,110819
基金项目:国家工信部绿色制造系统集成项目(201675514); 沈阳市重点实验室课题资助项目(15153100).
摘    要:应用IPG-500激光器对45号钢进行了激光熔覆,研究了工艺参数对熔覆层形貌的影响,采用极差分析找出影响熔覆层形貌的关键因素.在此基础上,提出采用灰色关联度分析不同参数组合下的熔覆层质量与理想的熔覆层质量之间的关联度,从而找出最佳的激光熔覆工艺参数组合.结果表明,激光功率与扫描速度是影响熔覆层形貌的主要因素,并且在激光功率为400W,扫描速度为7mm/s及送粉速率为0.7r/min的条件下,所获得的熔覆层质量最优,为激光熔覆工艺参数的选择提供理论支持.

关 键 词:再制造  激光熔覆  极差分析  参数优化  灰色关联度
收稿时间:2007-05-24
修稿时间:2007-05-24

Influence of Laser Cladding Process Parameters on Morphology of Cladding Layer and Its Optimization
YU Tian-biao,SONG Bo-xue,XI Wen-chao,MA Zhe-lun.Influence of Laser Cladding Process Parameters on Morphology of Cladding Layer and Its Optimization[J].Journal of Northeastern University(Natural Science),2019,40(4):537-542.
Authors:YU Tian-biao  SONG Bo-xue  XI Wen-chao  MA Zhe-lun
Institution:School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China.
Abstract:The IPG-500 laser was used to implement laser cladding on 45# steel. The influence of process parameters on the morphology of the cladding layer was studied, and the key factors affecting the morphology of the cladding layer were obtained by range analysis. On this basis, the gray correlation degree was used to analyze the correlation between the quality of the cladding layer and the ideal cladding layer quality under different parameter combinations, and the optimal combination of laser cladding process parameters can be found. The results show that the laser power and scanning speed are the main factors affecting the morphology of the cladding layer, and the optimized cladding layer is obtained under the conditions of laser power of 400W, scanning speed of 7mm/s and powder feeding rate of 0.7r/min, which provides theoretical support for the selection of laser cladding process parameters.
Keywords:remanufacturing  laser cladding  range analysis  parameter optimization  grey relational degree  
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