郝小忠

教授 博士生导师

招生学科专业:
机械工程 -- 【招收硕士研究生】 -- 机电学院
航空宇航科学与技术 -- 【招收博士、硕士研究生】 -- 机电学院
机械 -- 【招收博士、硕士研究生】 -- 机电学院

毕业院校:南京航空航天大学

学历:博士研究生毕业

学位:工学博士学位

所在单位:机电学院

办公地点:明故宫校区15-545

联系方式:13851532975

电子邮箱:

手机版

访问量:

最后更新时间:..

当前位置: 中文主页 >> 科学研究 >> 论文成果
6+X locating principle based on dynamic mass centers of structural parts machined by responsive fixtures

点击次数:

所属单位:机电学院

发表刊物:INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE

关键字:Locating principle Mass center Deformation Adaptive machining Responsive fixture

摘要:Adaptive machining with responsive fixtures is an effective way to release and eliminate deformation during the machining process of large-scale structural parts. While a proper locating principle is a key challenge for the responsive fixture based machining due to its two contradictory requirements of maintaining the machining datum and deformation releasing sufficiently. For traditional machining methods, locators are placed as far as possible from each other to maintain workpiece stability, which would significantly limit the release of workpiece deformation. In order to address the issue mentioned above, different from traditional locating method, a novel 6+X locating principle is proposed in this paper, where the workpiece is divided into a fixed region and a floating region to facilitate the new locating principle. The fixed region is optimized by considering dynamic mass centers with a Genetic Algorithm to maintain workpiece stability, and the 6 degrees of freedom of the workpiece are restrained by the fixed region to keep machining datum. The floating region is supported by X floating units so as to keep the workpiece stable during machining process, while the floating units can adjust the workpiece posture in accordance with the machining deformation during the machining intervals. Algorithm experiments are applied to verify the convergence of the proposed optimization model. Finally, a case study with real machining experiment is carried out to verify the proposed method.

ISSN号:0890-6955

是否译文:

发表时间:2018-02-01

合写作者:李迎光,Chen, Gengxiang,F70206388

通讯作者:郝小忠

版权所有©2018- 南京航空航天大学·信息化处(信息化技术中心)