摘要
机器视觉在线检测技术作为先进的产品质量监测手段,受到了生产企业越来越多的重视。以拉铆钉为检测对象,设计了一套在线检测系统的自动供料机构。对关键部件进行了分析计算,并通过ADAMS虚拟样机技术对输送过程进行了仿真分析。分析表明,该机构能够完成拉铆钉的自动定向送料、分离与精确定位,通过视觉检测,实现拉铆钉的多参数在线检测与自动分选。改进了传统检测方式的诸多缺陷,具有良好的理论指导和工程应用价值。
As an advanced product quality monitoring method,online machine vision detection technology has been paid more and more attention by production enterprises. Taking the pulling rivets as testing object,a set of automatic feeding mechanism of online detection system is designed. The key components were calculated and analyzed,and the transport process was simulated by ADAMS virtual prototyping technology. The analysis shows that the mechanism can automatically directional feed,separate and accurate position the pulling rivets,realize the multi parameter online detection and automatic sorting for the pulling rivets through visual inspection. The system improves the drawbacks of the traditional detection methods,has a good theoretical guidance and practical value in engineering.
出处
《机械设计与制造》
北大核心
2015年第10期256-259,共4页
Machinery Design & Manufacture
基金
四川省研究生教育改革创新项目(14JGCX01)
西南科技大学控制工程专业学位硕士研究生实践基地建设项目(113-101011)
四川省科技支撑计划项目(2012GZ0022)
关键词
拉铆钉
在线检测系统
虚拟样机技术
自动供料机构
Pulling Rivets
Online Detection System
Virtual Prototyping Technology
Automatic Feeding Mechanism
