In-situ microwave tomography for parts' cooldown monitoring in powder bed fusion of polymers

被引:0
|
作者
Sillani, Francesco [1 ,2 ]
Poretti, Samuel [3 ]
Pagani, Tommaso [3 ]
Hajdaj, Fatlind [3 ]
Schmid, Manfred [1 ]
Randazzo, Andrea [4 ]
Pastorino, Matteo [4 ]
Wegener, Konrad [2 ]
机构
[1] Inspire, Innovat Ctr Addit Mfg Switzerland Icams, Furstenlandstr 122, CH-9014 St Gallen, Switzerland
[2] Swiss Fed Inst Technol, Swiss Fed Inst Technol, Inst Machine Tools & Mfg IWF, Leonhardstr 21, CH-8092 Zurich, Switzerland
[3] Isea, SUPSI, Dipartimento Tecnol Innovat, Via Balestra 16, CH-6900 Lugano, Switzerland
[4] Univ Genoa, Dept Elect Elect Telecommun Engn & Naval Architect, Via Opera Pia 11A, I-16145 Genoa, Italy
关键词
Selective laser sintering; Cooldown history; Temperature monitoring; Microwave tomography; Crystallization;
D O I
10.1016/j.addma.2023.103433
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Temperature monitoring during the cooldown in powder bed fusion of polymers is essential to qualify parts, and is an absolute novelty in the field. This is because the direct reading of the parts' temperature is hindered by the powder. In this work, an innovative temperature monitoring technology based on microwave tomography is used to assess the part cooldown history in an industry-grade EOS P110 machine. So, relative and absolute readings of the temperature field can be carried out even for parts surrounded by powder. For the first time, several cooldown rates could be experimentally measured depending on the different polymer state: 0.56 degrees C min-1 in the liquid phase, 1.2 degrees C min-1 during supercooling, 0.83 degrees C min-1 in the solid phase. This technology will allow the development of a new generation of smart PBF machines that can better sense and hence control the entire PBF process, including the cooldown phase, which is often neglected but has the highest impact on the final mechanical performances of parts.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] In-Situ monitoring of porosity based on static and dynamic molten pool features in laser powder bed fusion
    Cao, Longchao
    Li, Jingchang
    Zhou, Qi
    Cai, Wang
    He, Binyan
    Zhang, Yahui
    OPTICS AND LASER TECHNOLOGY, 2025, 187
  • [22] Influence of part temperature on in-situ monitoring of powder bed fusion of metals using eddy current testing
    Spurek, Marvin A.
    Spierings, Adriaan B.
    Lany, Marc
    Revaz, Bernard
    Santi, Gilles
    Wicht, Jonatan
    Wegener, Konrad
    PROGRESS IN ADDITIVE MANUFACTURING, 2025, 10 (01) : 15 - 32
  • [23] A deep learning framework for defect prediction based on thermographic in-situ monitoring in laser powder bed fusion
    Simon Oster
    Philipp P. Breese
    Alexander Ulbricht
    Gunther Mohr
    Simon J. Altenburg
    Journal of Intelligent Manufacturing, 2024, 35 : 1687 - 1706
  • [24] Melt Pool Width Monitoring: In-situ measurement of the melt pool width in powder bed fusion processes
    Dörfert, Raik
    Tyralla, Dieter
    PhotonicsViews, 2021, 18 : 6 - 7
  • [25] In-situ electron beam characterization for electron beam powder bed fusion
    Markl, Matthias
    Tinat, Mohammad Reza Azadi
    Berger, Timo
    Westrich, Yannic
    Renner, Jakob
    Koerner, Carolin
    ADDITIVE MANUFACTURING, 2024, 96
  • [26] In-Situ Metrology System for Laser Powder Bed Fusion Additive Process
    Land, William S., II
    Zhang, Bin
    Ziegert, John
    Davies, Angela
    43RD NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE, NAMRC 43, 2015, 1 : 393 - 403
  • [27] In-situ laser removal of Cu2O and CuO during laser powder bed fusion of copper parts
    Abdelhafiz, Mohamed
    Al-Rubaie, Kassim S.
    Emadi, Ali
    Elbestawi, Mohamed A.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2024, 135 (5-6): : 1955 - 1983
  • [28] Optimization of in-situ laser remelting parameters for enhancing mechanical properties of parts produced by laser powder bed fusion process
    Pham, Dac-Phuc
    Tran, Hong-Chuong
    OPTICS AND LASER TECHNOLOGY, 2025, 181
  • [29] In Situ Monitoring of Powder Bed Fusion Homogeneity in Electron Beam Melting
    Grasso, Marco
    MATERIALS, 2021, 14 (22)
  • [30] In Situ Process Monitoring for Laser-Powder Bed Fusion using Convolutional Neural Networks and Infrared Tomography
    Elwarfalli, Hamed
    Papazoglou, Dimitri
    Erdahl, Dathan
    Doll, Amy
    Speltz, Jared
    PROCEEDINGS OF THE 2019 IEEE NATIONAL AEROSPACE AND ELECTRONICS CONFERENCE (NAECON), 2019, : 323 - 327