Efficiency optimization of selective laser melting for multi-parts

LIU Jie; YANG Yong-qiang; SU Xu-bin; XIAO Dong-ming

doi:10.3788/OPE.20122004.0699

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Efficiency optimization of selective laser melting for multi-parts

Article | 更新时间：2020-08-12

- Efficiency optimization of selective laser melting for multi-parts
- Optics and Precision Engineering Vol. 20, Issue 4, Pages: 699-705(2012)
- 作者机构：
  
  华南理工大学机械工程学院,广东广州,510640
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20122004.0699
  CLC： TG665
- Received：30 September 2011，
  
  Revised：15 December 2011，
  
  Published Online：22 April 2012，
  
  Published：22 April 2012
- 稿件说明：
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刘杰, 杨永强, 苏旭彬, 肖冬明. 多零件选区激光熔化成型效率的优化[J]. 光学精密工程, 2012,(4): 699-705

LIU Jie, YANG Yong-qiang, SU Xu-bin, XIAO Dong-ming. Efficiency optimization of selective laser melting for multi-parts[J]. Editorial Office of Optics and Precision Engineering, 2012,(4): 699-705
刘杰, 杨永强, 苏旭彬, 肖冬明. 多零件选区激光熔化成型效率的优化[J]. 光学精密工程, 2012,(4): 699-705 DOI： 10.3788/OPE.20122004.0699.

LIU Jie, YANG Yong-qiang, SU Xu-bin, XIAO Dong-ming. Efficiency optimization of selective laser melting for multi-parts[J]. Editorial Office of Optics and Precision Engineering, 2012,(4): 699-705 DOI： 10.3788/OPE.20122004.0699.

摘要

对多零件选区激光熔化的成型效率进行了优化。首先

分析了多零件选区激光熔化成型过程的时间消耗

并以减少时间消耗为目标建立了3维零件在3维成型空间中的2.5维排料优化规则。然后

研究了2.5维自动排料

提出利用3维零件模型在2维平面区域的投影将2.5维排料转化为2维排料的简化方法和一种利用切片数据进行投影生成的算法。最后

为验证所述方法的有效性

以手术模板模型为例

在虚拟选区激光熔化系统VDemetal280上进行了优化实验。与优化前相比

优化后的成型次数从4次降为3次

在扫描速度为600 mm/s、切片层厚为0.035 mm、扫描间距为0.08 mm的工艺参数下

总铺粉次数从3 892次降为2 231次

预计加工时间从约91 276 s降为69 918 s

时间消耗有明显减少。

Abstract

An optimized method was proposed to improve the processing efficiency of Selective Laser Melting (SLM) for multi-parts. First

the time consuming of the SLM process was analyzed and the 2.5D nesting rules for the optimization were established to reduce the time consuming. Then

the 2.5D automatic nesting was studied. A simplified method which uses the 3D projection to convert the 2.5D nesting to the 2D nesting and an algorithm for generating the projection from slice data were presented. Finally

by taking a operation model for an example

an experiment was performed on the virtual SLM system developed with OpenGL and VC++ to simulate the motion of real system and to validate the feasibility of the method. The result shows that the processing times are reduced from 4 to 3

the recoating times are from 3 892 to 2 231 and the expected processing time has been from 91 276 s to 69 918 s at a scanning speed of 600 mm/s

slicing thickness of 0.035 mm and track space of 0.08 mm.The time consuming has been significantly reduced as compared with that before optimization.

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Keywords

references

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