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马建伟
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教授   博士生导师   硕士生导师

性别: 男

毕业院校: 大连理工大学

学位: 博士

所在单位: 机械工程学院

学科: 机械电子工程. 机械制造及其自动化

办公地点: 机械工程学院知方楼5037室

联系方式: 18041185880;0411-84707876

电子邮箱: mjw2011@dlut.edu.cn

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Toolpath topology design based on vector field of tool feeding direction in sub-regional processing for complex curved surface

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论文类型: 期刊论文

发表时间: 2020-04-01

发表刊物: JOURNAL OF MANUFACTURING PROCESSES

收录刊物: EI、SCIE

卷号: 52

页面范围: 44-57

ISSN号: 1526-6125

关键字: Toolpath topology; Surface segmentation; Machining accuracy; Feeding motion stability; Vector field

摘要: Conventional global processing technology with uniform processing parameters for complex curved surface parts easily tends to uneven error distribution and local out-of-tolerance, and the sub-regional processing method is proposed. However, existing criterions for surface segmentation are merely based on the geometric feature, lacking comprehensive consideration of feeding direction and feeding motion stability during processing, which induces local out-of-tolerance and obvious cutting vibration. A toolpath topology design method in sub-regional processing based on the vector field of tool feeding direction is proposed. By calculating optimal feeding direction at each cutting contact point through a bi-objective optimization model, the space vector field is built by the optimal feeding direction. Then, the primary surface segmentation is achieved based on the divergence and the rotation of the projected vector field, and after fitting of the streamline by feeding vectors, the surface subdivision is finished by judging the abrupt change of kinematics parameters when the axes of machine tool feed along streamlines. Finally, two frequently-used toolpath modes are designed in sub-regions based on the shape feature of sub-regional streamline and the sub-regional toolpath topology is generated. The comparison experiments show that surface roughness and profile error of the machining region decrease by 22.52 % and 40.21 % compared with conventional global processing, which proves that the proposed method can reduce machining error and improve processing quality effectively. The research provides important guidance for toolpath generation of the complex curved surface parts in engineering practice.

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