On-line Monitoring of Laser Powder Bed Fusion by Acoustic Emission Acoustic emission for inspection of single tracks under different powder layer thickness

被引:0
|
作者
Kouprianoff, D. [1 ]
Luwes, N. [2 ]
Newby, E. [1 ]
Yadroitsava, I. [1 ]
Yadroitsev, I. [1 ]
机构
[1] Cent Univ Technol, Dept Mech & Mechatron Engn, Bloemfontein, Free State, South Africa
[2] Cent Univ Technol, Dept Elect Engn, Bloemfontein, Free State, South Africa
基金
新加坡国家研究基金会;
关键词
acoustic emission; laser powder bed fusion; on-line monitoring;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Laser Powder Bed Fusion (LPBF) is one of additive manufacturing technologies that utilise laser beam fusion of powder layers to produce fully dense complex parts. Optimal process-parameters, scanning strategy, building direction and supports, etc. influence on density and performance of the LPBF objects. In this work Acoustic Emission (AE) of single tracks was studied to investigate the applicability AE for quality control during LPBF.
引用
收藏
页码:203 / 207
页数:5
相关论文
共 50 条
  • [41] On-line monitoring of insulator contamination-causing flashover based on acoustic emission
    Pei, C. M.
    Shu, N. Q.
    Li, L.
    Li, Z. P.
    Peng, H.
    2008 THIRD INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES, VOLS 1-6, 2008, : 1667 - 1671
  • [42] Research Progress of Acoustic Emission On-line Monitoring in the Grinding Process of Engineering Ceramics
    Wan L.
    Zhou Q.
    Deng Z.
    Cailiao Daobao/Materials Reports, 2023, 37 (04):
  • [43] On-line wear monitoring of Mn-Zn ferrite using acoustic emission
    Matsushita Electric Industrial Co, Ltd, Osaka, Japan
    JSME Int J Ser C, 3 (586-592):
  • [44] An Acoustic Emission Method for On-line Monitoring the Contamination-causing Flashover of Insulator
    Pei, C. M.
    Shu, N. Q.
    Li, L.
    Wang, D.
    Li, Z. P.
    ICEMS 2008: PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS, VOLS 1- 8, 2008, : 817 - 822
  • [45] Machine learning of emission intensity signal of laser powder bed fusion molten pool
    Duan Y.
    Wang X.
    Zhou X.
    Zhang P.
    Guo X.
    Cheng X.
    Fan J.
    Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2022, 43 (09):
  • [46] In-situ lock-in thermographic measurement of powder layer thermal diffusivity and thickness in laser powder bed fusion
    Liu, Tao
    Kinzel, Edward C.
    Leu, Ming C.
    ADDITIVE MANUFACTURING, 2023, 74
  • [47] BRIEF PAPER: PROCESS MONITORING AND FAULT DETECTION IN LASER POWDER BED FUSION USING IN-SITU ACOUSTIC EMISSIONS
    Bevans, Benjamin D.
    Riensche, Alexander
    Plotnikov, Yuri
    Sions, John
    Snyder, Kyle
    Hass, Derek
    Rao, Prahalada
    PROCEEDINGS OF ASME 2024 19TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE, MSEC2024, VOL 1, 2024,
  • [48] Intra-layer and inter-layer monitoring of laser powder bed fusion defects based on airborne acoustic and gn-Res model: pore and deformation
    Zhang, Shuai
    Zhang, Zhifen
    Chen, Xizhang
    Qin, Rui
    Wang, Jie
    Bai, Zijian
    Li, Zhiwen
    Huang, Jing
    Su, Yu
    Wen, Guangrui
    Chen, Xuefeng
    VIRTUAL AND PHYSICAL PROTOTYPING, 2024, 19 (01)
  • [49] Development of Ternary Magnesium Alloys for Laser Powder Bed Fusion: Optimizing Oxide Layer Thickness
    Breitbach, Elmar Jonas
    Julmi, Stefan
    Behrens, Sabine
    Blank, Tatiana
    Abel, Arvid
    Emminghaus, Nicole
    Overmeyer, Ludger
    Klose, Christian
    Maier, Hans Juergen
    ADVANCED ENGINEERING MATERIALS, 2024,
  • [50] Assessment of optical emission analysis for in-process monitoring of powder bed fusion additive manufacturing
    Dunbar, Alexander J.
    Nassar, Abdalla R.
    VIRTUAL AND PHYSICAL PROTOTYPING, 2018, 13 (01) : 14 - 19