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增减材制造的复合加工工艺规划研究

姚荣斌 杨乐新 戴丽莉

姚荣斌, 杨乐新, 戴丽莉. 增减材制造的复合加工工艺规划研究[J]. 机械科学与技术, 2018, 37(7): 1076-1081. doi: 10.13433/j.cnki.1003-8728.20180084
引用本文: 姚荣斌, 杨乐新, 戴丽莉. 增减材制造的复合加工工艺规划研究[J]. 机械科学与技术, 2018, 37(7): 1076-1081. doi: 10.13433/j.cnki.1003-8728.20180084
Yao Rongbin, Yang Lexin, Dai Lili. Study on Hybrid Process Planning of Additive and Subtractive Manufacturing[J]. Mechanical Science and Technology for Aerospace Engineering, 2018, 37(7): 1076-1081. doi: 10.13433/j.cnki.1003-8728.20180084
Citation: Yao Rongbin, Yang Lexin, Dai Lili. Study on Hybrid Process Planning of Additive and Subtractive Manufacturing[J]. Mechanical Science and Technology for Aerospace Engineering, 2018, 37(7): 1076-1081. doi: 10.13433/j.cnki.1003-8728.20180084

增减材制造的复合加工工艺规划研究

doi: 10.13433/j.cnki.1003-8728.20180084
基金项目: 

江苏省"六大人才高峰"人才项目(2016-HYGC-023)、江苏省"333工程"科研项目(BRA2017310)、江苏高校"青蓝工程"中青年学术带头人(2016)及连云港市"521工程"科研项目(2016)资助

详细信息
    作者简介:

    姚荣斌(1972-),教授,研究方向为控制工程,rby1972@126.com

Study on Hybrid Process Planning of Additive and Subtractive Manufacturing

  • 摘要: 针对在采用增减材复合制造技术加工复杂零件时存在的欠工艺规划问题以及工艺规划优化问题,重点提出了一个基于增减材制造的复合加工工艺规划算法,通过执行零件分割、建造方向确定、增减材操作序列建立和操作序列优化4个步骤,最终生成一个时间最优的可行操作序列,能够实现复杂零件的精确加工。并进行了实验案例研究,其结果验证了提出算法的可行性和先进性。
  • [1] Newman S T, Zhu Z C, Dhokia V, et al. Process planning for additive and subtractive manufacturing technologies[J]. CIRP Annals, 2015,64(1):467-470
    [2] Jeng J Y, Lin M C. Mold fabrication and modification using hybrid processes of selective laser cladding and milling[J]. Journal of Materials Processing Technology, 2001,110(1):98-103
    [3] Akula S, Karunakaran K P. Hybrid adaptive layer manufacturing:an Intelligent art of direct metal rapid tooling process[J]. Robotics and Computer-Integrated Manufacturing, 2006,22(2):113-123
    [4] Xiong X H, Zhang H O, Wang G L. Metal direct prototyping by using hybrid plasma deposition and milling[J]. Journal of Materials Processing Technology, 2009,209(1):124-130
    [5] Friel R J, Harris R A. Ultrasonic additive manufacturing-a hybrid production process for novel functional products[J]. Procedia CIRP, 2013,6:35-40
    [6] Yamazaki T. Development of a hybrid multi-tasking machine tool:integration of additive manufacturing technology with CNC machining[J]. Procedia CIRP, 2016,42:81-86
    [7] Van Thao L E, Paris H, Mandil G. Process planning for combined additive and subtractive manufacturing technologies in a remanufacturing context[J]. Journal of Manufacturing Systems, 2017,44(1):243-254
    [8] Du W, Bai Q, Wang Y B, et al. Eddy current detection of subsurface defects for additive/subtractive hybrid manufacturing[J]. The International Journal of Advanced Manufacturing Technology, 2018,95(9-12):3185-3195
    [9] Hershkovich T, Shalmon T, Shitrit O, et al. Probabilistic model for 3D interactive segmentation[J]. Computer Vision and Image Understanding, 2016,151:47-60
    [10] 吴振兴.基于FDM快速成型中支撑工艺的研究[D].沈阳:沈阳建筑大学,2014 Wu Z X. The research based on FDM rapid prototyping support technology[D]. Shenyang:Shenyang Jianzhu University, 2014(in Chinese)
    [11] 赵淑霞,杨伟民.熔融沉积快速成型的支撑优化工艺方法研究[J].机械设计与制造,2016,(6):107-110 Zhao S X, Yang W M. Research on optimization of process parameters for support structure in the FDM process[J]. Machinery Design & Manufacture, 2016,(6):107-110(in Chinese)
    [12] Hu K L, Zhang X T, Wang C C L. Direct computation of minimal rotation for support slimming[C]//Proceedings of 2015 IEEE International Conference on Automation Science and Engineering. Gothenburg, Sweden:IEEE, 2015:936-941
    [13] 蒋放,辛民,王西彬,等.精密深孔复合刀具设计及加工技术[J].工具技术,2007,41(10):39-43 Jiang F, Xin M, Wang X B, et al. Research on design and machining technology of precision deep-hole compound cutting tool[J]. Tool Engineering, 2007,41(10):39-43(in Chinese)
    [14] Zhu Z C, Dhokia V G, Nassehi A, et al. A methodology for the estimation of build time for operation sequencing in process planning for a hybrid process[C]//Proceedings of the 23rd International Conference on Flexible Automation & Intelligent Manufacturing. Heidelberg:Springer International Publishing, 2013:159-172
    [15] Heo E Y, Kim D W, Kim B H, et al. Estimation of NC machining time using NC block distribution for sculptured surface machining[J]. Robotics and Computer-Integrated Manufacturing, 2006,22(5-6):437-446
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出版历程
  • 收稿日期:  2017-10-24
  • 刊出日期:  2018-07-05

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