Structural Dimension Optimization of Robotic Belt Grinding System for Grinding Workpieces with Complex Shaped Surfaces Based on Dexterity Grinding Space

Author:

GAO Zhihui,LAN Xiaodong,BIAN Yushu

Publisher

Elsevier BV

Subject

Mechanical Engineering,Aerospace Engineering

Reference21 articles.

1. Present status and development trend of abrasive belt grinding technique for blade profile;Zhu;Aeronautical Manufacturing Technology,2007

2. Actuator gain distributions to analytically meet specified performance capabilities in serial robot manipulators;Rios;Journal of Mechanical Design,2009

3. Motion control of the flexible manipulator via controllable local degrees of freedom;Bian;Nonlinear Dynamics,2009

4. Optimal control of the flexible link manipulator with controllable local degrees of freedom;Bian;Chinese Journal of Mechanical Engineering,2008

5. Vibration reduction of open-chain flexible manipulators by optimizing independent motions of branch links;Bian;Chinese Journal of Aeronautics,2008

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Denim-fabric-polishing robot size optimization based on global spatial dexterity;Mechanical Sciences;2021-06-11

2. Robotic grinding of complex components: A step towards efficient and intelligent machining – challenges, solutions, and applications;Robotics and Computer-Integrated Manufacturing;2020-10

3. Modeling, planning, and control of robotic grinding on free-form surface using a force-controlled belt grinding tool;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2020-06-12

4. Investigation of robotic abrasive belt grinding methods used for precision machining of aluminum blades;The International Journal of Advanced Manufacturing Technology;2020-06

5. Accuracy improvement of robotic machining based on robot’s structural properties;The International Journal of Advanced Manufacturing Technology;2020-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3