中国机械工程

• 增材制造 • 上一篇    下一篇

增材制造工艺匹配性评估的宏微观决策模型

刘晓晨1;孙宇1;敬石开2;郄龙飞2   

  1. 1.南京理工大学机械工程学院,南京,210094
    2.北京理工大学机械与车辆学院,北京,100029
  • 出版日期:2019-11-10 发布日期:2019-11-08
  • 基金资助:
    国家重点研发计划资助项目(2017YFB1102804);
    国家高技术研究发展计划(863计划)资助项目(2015AA042505)

A Macroscopic and Microscopic Integrated Decision-making Model for Evaluating Process Compatibility of Additive Manufacturing

LIU Xiaochen1;SUN Yu1;JING Shikai2;QIE Longfei2   

  1. 1.School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing,210094
    2.School of Mechanical Engineering,Beijing Institute of Technology,Beijing,100029
  • Online:2019-11-10 Published:2019-11-08

摘要: 增材制造存在悬空区域难制造、不同结构和不同性能要求零件的可成形性难预测等突出问题,提前评估工艺的匹配性和合理性具有重要意义。提出了一种宏微观一体化综合决策模型,从增材制造工艺角度评估零件的可成形性,根据打印零件的效果推演出最佳的成形策略。宏观决策阶段建立设计需求与制造工艺间的数学模型,从可成形性角度评判工艺的匹配程度;微观决策阶段建立表面粗糙度、支撑结构体积和打印时间的数学模型,从打印质量的角度优化打印工艺。最后,以拓扑优化的梁结构零件为例,利用建立的综合决策模型优化其打印工艺,结果表明,实际打印结果与模拟打印结果一致,验证了数学模型的有效性。

关键词: 增材制造, 工艺匹配性, 决策模型, 打印方向, 表面粗糙度, 打印时间

Abstract: Additive manufacturing(AM) has outstanding problems such as difficult to manufacture in suspended areas, difficult to predict the formability of parts with different structures and different performance requirements, thus it is significant to evaluate the matching and rationality of the process in advance. A decision-making model that integrated macroscopic and microscopic factors was proposed to evaluate the formability of parts from the perspective of additive manufacturing processes, and to deduce the optimized forming strategy according to the effectiveness of printed parts. A mathematical model of the relationship between design requirements and manufacturing processes was established in the macro-decision stage, to judge the degree of matching of processes from the perspective of formability. The mathematical model of surface roughness, support structure volume and printing time was established in the micro-decision stage to optimize the printing processes from the perspective of print quality. Finally, a topologically optimized beam part was taken as an example. The established model was used to optimize the printing processes, and the results are consistent with the simulation printing results, which verify the validity of the mathematical model.

Key words: additive manufacturing, process compatibility, decision-making model, printing direction, surface roughness, printing time

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