Numerical and experimental observations of the flow field inside a selective laser melting (SLM) chamber through computational fluid dynamics (CFD) and particle image velocimetry (PIV)

被引:12
|
作者
Chen, Xiang-Xin [1 ]
Tzeng, Sz-Jia [1 ]
Wang, Wei-Cheng [1 ]
机构
[1] Natl Cheng Kung Univ, Dept Aeronaut & Astronaut, Tainan 70101, Taiwan
关键词
Additive manufacturing; Selective laser melting; Air curtain; Computational fluid dynamics; Particle image velocimetry; CAPTURE EFFICIENCIES;
D O I
10.1016/j.powtec.2019.11.099
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Collection and recycling of the metal powders ejected from the working plane are the primary objectives for improving the selective laser melting (SLM) process. The flow behaviors through the SLM working chamber are obviously significant and must be further studied to resolve these matters. In this study, we continued the studies presented previously to design a blow-to-suction device enlarged from 250 mmx250 mm to 500 mmx500 mm. The air curtain inside the SLM working chamber, instead of a parallel flow, was designed with a vertical downward blowing jet as well as two parallel suction devices. Computational and experimental fluid dynamics were conducted to simulate the flow field through the working chamber, using blowing nozzles of various shapes. Particle image velocimetry (PIV) was applied to investigate the flow field and to further verify the simulation results. The flow velocity profiles inside the chamber measured via PIV agreed well with those obtained through CFD simulation. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:450 / 461
页数:12
相关论文
共 12 条
  • [1] Numerical studies of metal particle behaviors inside the selective laser melting (SLM) chamber through computational fluid dynamics (CFD)
    Tzeng, Sz-Jia
    Chen, Xiang-Xin
    Wang, Wei-Cheng
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2020, 107 (11-12): : 4677 - 4686
  • [2] Numerical studies of metal particle behaviors inside the selective laser melting (SLM) chamber through computational fluid dynamics (CFD)
    Sz-Jia Tzeng
    Xiang-Xin Chen
    Wei-Cheng Wang
    The International Journal of Advanced Manufacturing Technology, 2020, 107 : 4677 - 4686
  • [3] The applications of particle image velocimetry (PIV) to experimentally observe the flow behaviors inside the Selective Laser Melting (SLM) working chamber
    Chen, Xiang-Xin
    Wang, Wei-Cheng
    FLOW MEASUREMENT AND INSTRUMENTATION, 2020, 73 (73)
  • [4] Computational fluid dynamics (CFD) numerical simulation and particle image velocimetry (PIV) measurement of a packed flotation column
    Yan, Xiaokang
    Chen, Zhuying
    Wang, Lijun
    PHYSICOCHEMICAL PROBLEMS OF MINERAL PROCESSING, 2018, 54 (02): : 395 - 405
  • [5] Experimental and numerical flow analysis through arteries with stent using particle image velocimetry and computational fluid dynamics method
    Tomaszewski, Michal
    Sybilski, Kamil
    Baranowski, Pawel
    Malachowski, Jerzy
    BIOCYBERNETICS AND BIOMEDICAL ENGINEERING, 2020, 40 (02) : 740 - 751
  • [6] Advanced blood flow assessment in Zebrafish via experimental digital particle image velocimetry and computational fluid dynamics modeling
    Salman, Huseyin Enes
    Yalcin, Huseyin Cagatay
    MICRON, 2020, 130
  • [7] Experimental validation of a computational fluid dynamics model using micro-particle image velocimetry of the irrigation flow in confluent canals
    Pereira, Mario Rito
    Silva, Goncalo
    Semiao, Viriato
    Silverio, Vania
    Martins, Jorge N. R.
    Pascoal-Faria, Paula
    Alves, Nuno
    Dias, Juliana R.
    Ginjeira, Antonio
    INTERNATIONAL ENDODONTIC JOURNAL, 2022, 55 (12) : 1394 - 1403
  • [8] EXPERIMENTAL AND NUMERICAL STUDY OF ASCENDING AORTA HEMODYNAMICS THROUGH 3D PARTICLE TRACKING VELOCIMETRY AND COMPUTATIONAL FLUID DYNAMICS
    Guelan, Utku
    Gallo, Diego
    Ponzini, Raffaele
    Luethi, Beat
    Holzner, Markus
    Morbiducci, Umberto
    PROCEEDINGS OF THE ASME SUMMER BIOENGINEERING CONFERENCE - 2013, PT A, 2014,
  • [9] Computational fluid dynamics and digital particle image velocimetry study of the flow through an optimized micro-axial blood pump
    Triep, M
    Brücker, C
    Schröder, W
    Siess, T
    ARTIFICIAL ORGANS, 2006, 30 (05) : 384 - 391
  • [10] Investigation of hydrodynamics in high solid anaerobic digestion by particle image velocimetry and computational fluid dynamics: Role of mixing on flow field and dead zone reduction
    Hu, Yuying
    Zheng, Xiaohuan
    Zhang, Shihao
    Ye, Wenjie
    Wu, Jing
    Poncin, Souhila
    Li, Huai Z.
    BIORESOURCE TECHNOLOGY, 2021, 319