Development of Grinding and Polishing Technology for Stainless Steel With a Robot Manipulator

Jinsiang Shaw, Yu Fang
{"title":"Development of Grinding and Polishing Technology for Stainless Steel With a Robot Manipulator","authors":"Jinsiang Shaw, Yu Fang","doi":"10.14313/jamris/4-2021/25","DOIUrl":null,"url":null,"abstract":"In traditional industries, manual grinding and polishing technologies are still used predominantly. However, these procedures have the following limitations: excessive processing time, labor consumption, and product quality not guaranteed. To address the aforementioned limitations, this study utilizes the good adaptability of a robotic arm to develop a tool-holding grinding and polishing system with force control mechanisms. Specifically, off-the-shelf handheld grinder is selected and attached to the robotic arm by considering the size, weight, and processing cost of the stainless steel parts. In addition, for contact machining, the robotic arm is equipped with a force/torque sensor to ensure that the system is active compliant. According to the experimental results, the developed system can reduce the surface roughness of 304 stainless steel to 0.47 µm for flat surface and 0.76 µm for circular surface. Moreover, the processing trajectory is programmed in the CAD/CAM software simulation environment, which can lead to good results in collision detection and arm posture establishment.","PeriodicalId":37910,"journal":{"name":"Journal of Automation, Mobile Robotics and Intelligent Systems","volume":"168 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Automation, Mobile Robotics and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14313/jamris/4-2021/25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 1

Abstract

In traditional industries, manual grinding and polishing technologies are still used predominantly. However, these procedures have the following limitations: excessive processing time, labor consumption, and product quality not guaranteed. To address the aforementioned limitations, this study utilizes the good adaptability of a robotic arm to develop a tool-holding grinding and polishing system with force control mechanisms. Specifically, off-the-shelf handheld grinder is selected and attached to the robotic arm by considering the size, weight, and processing cost of the stainless steel parts. In addition, for contact machining, the robotic arm is equipped with a force/torque sensor to ensure that the system is active compliant. According to the experimental results, the developed system can reduce the surface roughness of 304 stainless steel to 0.47 µm for flat surface and 0.76 µm for circular surface. Moreover, the processing trajectory is programmed in the CAD/CAM software simulation environment, which can lead to good results in collision detection and arm posture establishment.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
机器人不锈钢磨削抛光技术的发展
在传统工业中,手工研磨和抛光技术仍占主导地位。然而,这些方法有以下局限性:加工时间长,劳动消耗大,产品质量得不到保证。针对上述局限性,本研究利用机械臂良好的适应性,开发了一种带力控制机构的持刀磨削抛光系统。具体来说,考虑到不锈钢零件的尺寸、重量和加工成本,选择现成的手持式磨床并安装在机械臂上。此外,对于接触加工,机械臂配备了力/扭矩传感器,以确保系统的主动顺应。实验结果表明,所开发的系统可以将304不锈钢的表面粗糙度降低到平面0.47µm,圆形0.76µm。在CAD/CAM软件仿真环境下对加工轨迹进行了编程,在碰撞检测和手臂姿态建立方面取得了良好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Automation, Mobile Robotics and Intelligent Systems
Journal of Automation, Mobile Robotics and Intelligent Systems Engineering-Control and Systems Engineering
CiteScore
1.10
自引率
0.00%
发文量
25
期刊介绍: Fundamentals of automation and robotics Applied automatics Mobile robots control Distributed systems Navigation Mechatronics systems in robotics Sensors and actuators Data transmission Biomechatronics Mobile computing
期刊最新文献
A Numerical Analysis Based Internet of Things (IOT) and Big Data Analytics to Minimize Energy Consumption in Smart Buildings Design of Small-Phase Time-Variant Low-pass Digital Fractional Differentiators and Integrators Comparative Analysis of CNN-Based Smart Pre-Trained Models for Object Detection on DOTA Research to Simulate the Ship’s Vibration Regeneration System using a 6-Degree Freedom Gough-Stewart Parallel Robot Effective Nonlinear Predictive and CTC-PID Control of Rigid Manipulators
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1