基于ROI区域特征模具激光修复熔池填丝熔入状态识别技术  

Identification technology of the state of wire melting into the molten pool during laser repairing mold based on ROI area's features

作　　者：刘立君[1,2] 于义涛 金海平 张伟杰[2] 吴兆寿 王晓鹏[1] 

机构地区：[1]哈尔滨理工大学材料科学与工程学院,哈尔滨150080 [2]浙江大学宁波理工学院,宁波315000 [3]宁波金氏实业有限公司,宁波315174

出　　处：《焊接学报》2017年第11期7-10,26,共5页Transactions of The China Welding Institution

基　　金：国家自然科学基金资助项目(51275468);浙江省自然基金资助项目(LY17E050013);哈尔滨市科技创新人才创新基金(RC2017XK017005);宁波市产业技术创新重大科技专项(2015B11034)

摘　　要：文中针对小功率激光热导焊熔池填丝熔入状态图像识别问题,对激光修复填丝熔入熔池状态进行分析,提取填丝熔入熔池非稳态ROI区域圆度和灰度分布特征,与填丝熔入熔池稳定状态特征进行比较,提出将ROI区域圆度和灰度分布特征作为判断焊缝填丝熔入熔池状态的重要判据.利用双视觉热丝小功率激光模具修复试验平台,将提取的裂纹特征信息导入UG NX系统生成数控代码控制激光加工,根据填丝熔入熔池ROI区域特征信息对模具修复加工进行参数控制.结果表明,利用该技术能实现模具修复过程有效监控,提高修复模具修复效率和质量.This article aims at the problem above image recognition of the state that wire filler melt into the molten pool with heat conduction welding based on heater-miniwatt laser in mold repair,analyzed the state of wire filler melt into the molten pool in laser mould repair,extracted the roundness and grayscale distribution characteristics of the instability of ROI area with wire filler melt into the pool,and compared with the steady state characteristics of wire filler melt into the pool,puts forward regarding the molten pool image of ROI area 's roundness and grayscale distribution characteristics as criterion in judging the state of wire filler melt into the pool. Utilizing the established mould repair experiment platform based on double vision Heater-miniwatt laser,importing the characteristics information of crack into UG NX system to generate NC code and control laser machining,according to the characteristics information of wire filler melt into the molten pool ROI area,achieving the parameter control in mould repair process. Test shows that using this technique can realize effective monitoring in mould repair process,and improve the efficiency and quality of mold repair.

关 键 词：注意焦点 填丝熔入状态 视觉 模具修复 

分 类 号：TG456.7[金属学及工艺—焊接]