标题:Study on improving accuracy in robotic milling of aluminum alloy
作者:Sui, Shaochun ;Guo, Kai ;Sun, Jie ;Zhang, Yiran
作者机构:[Sui, Shaochun ] CAC Chengdu Aircraft Industrial (Group) Co., Ltd., Chengdu; 610000, China;[Guo, Kai ;Sun, Jie ;Zhang, Yiran ] Key Laboratory of High 更多
会议名称:ASME 2018 13th International Manufacturing Science and Engineering Conference, MSEC 2018
会议日期:18 June 2018 through 22 June 2018
来源:ASME 2018 13th International Manufacturing Science and Engineering Conference, MSEC 2018
出版年:2018
卷:3
DOI:10.1115/MSEC2018-6476
关键词:Industrial robot; Process parameters; Surface roughness; Vibration signal
摘要:Nowadays, the application of using industrial robots in manufacture is a diminutive due to its own low rigidity and low stiffness. This leads to high level of vibrations that limits the quality and the precision of the workpiece. So they are usually used for welding, grinding and paint shop. However, the potential of industrial robot applications in machining has be realized. The volume of monolithic components is large and there are many issues in machining process such as geometric tolerance and quality of machined surface. In such cases the traditional CNC machine is replaced by industrial robots, which will reduce the production cost, reduce labor and increase the efficiency. In this paper, the milling experiment of 7050-T7451 aeronautical aluminum alloy was carried out by using industrial robot KR210 R2700. In addition, the experiment was employed to study the influence of milling speed, feed-rate, cutting depth and cutting width on vibrations, surface roughness was also measured to evaluate the machining quality. Besides, the axis of angle was changed which led to the different industrial robot's postures. The vibration signal of different postures was acquired, which was used to analysis the optimal workspace of industrial robot. The best process parameters were obtained, which will play a guiding significance on the actual production. Copyright © 2018 ASME.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055001956&doi=10.1115%2fMSEC2018-6476&partnerID=40&md5=de1d05dc1308b0c2902bb7908a4c507e
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