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个人信息Personal Information

教授

博士生导师

硕士生导师

任职 : 精密与特种加工教育部重点实验室 副主任; 中国光整加工专业委员会 主任委员; 中国生产工程学会 常务理事; 中国国际磨粒加工技术学会(ICAT)常务理事

性别:男

毕业院校:东北工学院

学位:博士

所在单位:机械工程学院

学科:机械制造及其自动化

办公地点:机械工程学院知方楼7185室

联系方式:0411-84706138 gaohang@dlut.edu.cn

电子邮箱:gaohang@dlut.edu.cn

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A new predictive method of the finished surface profile in abrasive flow machining process

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论文类型:期刊论文

发表时间:2019-11-01

发表刊物:PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY

收录刊物:EI、SCIE

卷号:60

页面范围:497-505

ISSN号:0141-6359

关键字:Abrasive flow machining; Surface profile; Constrained passage; Power-law model; Aero-engine blade

摘要:In order to improve the functional surface finish of high performance and complex parts in high-end manufacturing industries, abrasive flow machining (AFM) taking semi-solid abrasive media as a finishing tool was proposed to enhance the accessibility of the finishing process. Owing to the complicated flow field of abrasive media in constrained passages, it is difficult to predict the finished surface profile of a functional surface after AFM processing. In this investigation, a novel prediction method combining numerical simulation and experiment was proposed with the analyses of material removal conducted for single, and multiple, particles. On this basis, the distributions of material removal and abrasive scratches were expounded in one-way AFM and two-way AFM processes with two kinds of constrained passages, it is believed that a high pay distribution and turbulent flow field produced by contraction section of inlet region of flow passage are the main reasons for the high material removal and irregular finishing marks at the inlet/outlet regions. Finally, verification experiments on the finishing of an aero-engine blade were carried out, a preferable constrained passage was obtained using this new prediction method and near-uniform material removal was observed. This work aims to establish a preferable prediction method for the whole surface profile finished by AFM process and provide fundamental guidance for the optimal design of constrained surfaces of complex components.