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作 者:施航杰 SHI Hangjie(Zhejiang Province′s Key Laboratory of Reliability Technology for Mechanical and Electrical Product,Zhejiang Sci-Tech University,Hangzhou 310018,China)
机构地区:[1]浙江理工大学浙江省机电产品可靠性技术研究重点实验室,杭州310018
出 处:《组合机床与自动化加工技术》2024年第5期71-76,81,共7页Modular Machine Tool & Automatic Manufacturing Technique
摘 要:针对电容装配系统中多数量、不同位置排布下电阻容器的装配存在定位精度低、装配效率低等问题,提出了一种基于机器视觉引导的电容高精度装配系统。首先,运用十二点标定法确定坐标系间的转换关系;其次,提出基于blob分析的改进定位算法确定电阻容器的中心位置;最后,引入偏移量补偿,引导机器人完成每个对应位置的装配。实验结果表明,所提出的装配系统的平均装配误差为0.05 mm,且装配准确率达到99.8%,实际装配误差要求不超过0.1 mm,因此满足实际生产需求,有效提高了生产装配效率。Aiming at the problems of low positioning accuracy and low assembly efficiency in capacitance assembly system with multiple quantities and different position arrangements,this paper proposed a high precision capacitance assembly system based on machine vision guidance.Firstly,the twelve-point calibration method is used to determine the conversion relationship between coordinate systems.Secondly,an improved location algorithm based on blob analysis is proposed to determine the center location of the resistance vessel.Finally,offset compensation is introduced to guide the robot to complete the assembly of each corresponding position.The experimental results show that the average assembly error of the assembly system proposed in this paper is 0.05 mm,and the assembly accuracy reaches 99.8%.The actual assembly error requirement is less than 0.1 mm,which meets the actual production demand and effectively improves the production and assembly efficiency.
分 类 号:TH165[机械工程—机械制造及自动化] TG659[金属学及工艺—金属切削加工及机床]
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