基于GA的灰铸铁表面激光熔覆316L工艺参数优化
Optimization of process parameters for laser cladding 316L on gray iron surface based on GA
毕少平 1王胜 1张恩铭 1陈聪 2陈席国1
作者信息
- 1. 衢州职业技术学院 机电工程学院,衢州 324000,中国
- 2. 浙江赫科智能设备有限公司,衢州 324000,中国
- 折叠
摘要
为了提升HT250 灰铸铁材料的综合性能,采用遗传算法对多目标工艺参数进行优化,得出相应经验参数组,在灰铸铁材料表面进行激光熔覆316L合金实验;采用数字化检测仪器,根据试样几何形状、宏观形貌、硬度等变化规律,得出最优工艺参数组.结果表明,当设置送粉速率为0.25 g/s、扫描速率为10 mm/s、激光功率为2800 W时,316L熔覆层表面几何形状最佳,宏观形貌好,洛氏硬度最大值达37.6 HRC,试样熔覆性能良好.这一结果综合提高了灰铸铁的各项性能,为灰铸铁产品磨损后的修复再利用提供实践参考.
Abstract
In order to improve the comprehensive performance of HT250 gray cast iron material,a genetic algorithm(GA)multi-objective process parameter optimization method was used to obtain the corresponding empirical parameter group.In the laser cladding 316L alloy experiment on the surface of gray cast iron material,a digital detection instrument was used to comprehensively analyze the changes in macroscopic morphology,Rockwell hardness,geometric shape,and other characteristics of the sample,and the optimal process parameter combination was analyzed and optimized.The results show that when the process parameters are respectively set to powder feeding speed of 0.25 g/s,scanning speed of 10 mm/s,and laser power of 2800 W,the surface geometry of the 316L cladding layer is the best,the macroscopic morphology is good,and the maximum Rockwell hardness reaches 37.6 HRC.The sample cladding performance is good.The comprehensive improvement of various properties of gray cast iron provides practical reference for the repair and reuse of worn gray cast iron products.
关键词
激光技术/316L合金粉末/遗传算法/宏观形貌/多目标优化/几何形状Key words
laser technique/316L alloy powder/genetic algorithm/macro morphology/multi-objective optimization/ge-ometry引用本文复制引用
基金项目
衢州市科技计划攻关基金资助项目(2023NC07)
衢州市科技计划攻关基金资助项目(2022NC06)
出版年
2024
国家科技期刊平台
NSTL
万方数据