TOOLPATH PLANNING WITH THERMAL STRESS AWARENESS FOR MATERIAL EXTRUSION ADDITIVE MANUFACTURING

被引:0
作者
Khatkar, Jayant [1 ]
Clemon, Lee [1 ]
Mettu, Ramgopal [2 ]
机构
[1] Univ Technol Sydney, Sydney, NSW, Australia
[2] Tulane Univ, New Orleans, LA USA
来源
PROCEEDINGS OF ASME 2022 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, IMECE2022, VOL 2A | 2022年
关键词
toolpath planning; thermal stress; optimization; additive manufacturing; material extrusion; MECHANICAL-PROPERTIES;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Additive manufacturing has emerged as a next-generation technology for advanced fabrication. Fused Filament Fabrication (FFF) is the most widespread form of material extrusion additive manufacturing and has growing applications in large scale construction. Despite its advantages, FFF is limited by structural weaknesses introduced by cooling of the material between layers. This paper presents an approach to reduce the probability of failure for a given object under known loading conditions through improved toolpath planning which considers temperature decay. Our approach reorders the fabrication sequence to vary the time to print between layers such that the thermal stress induced in fabrication is reduced in regions most likely to fail at the expense of increasing thermally induced stress in less critical areas. In our simulation experiments, we found that our approach offers the greatest improvement when the rate of cooling is large enough for significant temperature decay to occur, but not so large that cooling occurs too quickly for the print order to have any effect. Our approach offers the potential to improve the performance of 3D printed components under known loading conditions by considering the temperature of the print in the planning of the toolpath.
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页数:5
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共 16 条
  • [1] [Anonymous], SLIC3R OPEN SOURCE 3
  • [2] Azzi V., 1965, Experimental Mechanics, V5, P283, DOI [10.1007/BF02326292, DOI 10.1007/BF02326292]
  • [3] An improved fused deposition modeling process for forming large-size thin-walled parts
    Du Jun
    Wei Zhengying
    Wang Xin
    Wang Jijie
    Chen Zhen
    [J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2016, 234 : 332 - 341
  • [4] Experimental investigation of FDM process for improvement of mechanical properties and production cost
    Durgun, Ismail
    Ertan, Rukiye
    [J]. RAPID PROTOTYPING JOURNAL, 2014, 20 (03) : 228 - 235
  • [5] Reinforced FDM: Multi-Axis Filament Alignment with Controlled Anisotropic Strength
    Fang, Guoxin
    Zhang, Tianyu
    Zhong, Sikai
    Chen, Xiangjia
    Zhong, Zichun
    Wang, Charlie C. L.
    [J]. ACM TRANSACTIONS ON GRAPHICS, 2020, 39 (06):
  • [7] Infrared preheating to improve interlayer strength of big area additive manufacturing (BAAM) components
    Kishore, Vidya
    Ajinjeru, Christine
    Nycz, Andrzej
    Post, Brian
    Lindahl, John
    Kunc, Vlastimil
    Duty, Chad
    [J]. ADDITIVE MANUFACTURING, 2017, 14 : 7 - 12
  • [8] Lensgraf Samuel, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA), P1181, DOI 10.1109/ICRA.2017.7989141
  • [9] Lensgraf S, 2018, IEEE INT C INT ROBOT, P8622, DOI 10.1109/IROS.2018.8594398
  • [10] Lensgraf S, 2016, IEEE INT CONF ROBOT, P3625, DOI 10.1109/ICRA.2016.7487546