A review of technological improvements in laser-based powder bed fusion of metal printers

被引:1
|
作者
AmirMahyar Khorasani
Ian Gibson
Jithin Kozhuthala Veetil
Amir Hossein Ghasemi
机构
[1] Deakin University,School of Engineering
[2] University of Twente,Fraunhofer Centre for Complex System Engineering, Department of Design, Production & Management
关键词
Additive manufacturing; Powder bed fusion; Laser; Industrial improvement;
D O I
暂无
中图分类号
学科分类号
摘要
Additive manufacturing (AM) is an emerging process that has been extremely improved in terms of technology and application in recent years. In this technology review, new industrial improvements in laser powder bed fusion (LPBF) of metals are discussed. LPBF has the lowest build rate among all AM processes that produce metals such as electron beam powder bed fusion, direct energy deposition, binder jetting and sheet lamination. The findings of the current research show that the most innovations and future directions of LPBF printers are toward increasing the speed of the process by using interchangeable feedstock chamber, closed-loop control powder handling, automated powder sieving, multi-layer concurrent printing, 2-axis coating and multi powder hoppers. To increase the speed of the process, the new improvements for transferring time and using fast lasers are presented. Another innovation in the building of LPBF printers is enhancing part quality by improving lasers with the shorter beam diameter, multi-lasers, uniform inert gas flow, accurate positioning systems, using high vacuum systems and using sensors and automation.
引用
收藏
页码:191 / 209
页数:18
相关论文
共 50 条
  • [21] Automated Manufacturing of Mechatronic Parts by Laser-Based Powder Bed Fusion
    Binder, Maximilian
    Anstaett, Christine
    Reisch, Raven
    Schlick, Georg
    Seidel, Christian
    Reinhart, Gunther
    18TH MACHINING INNOVATIONS CONFERENCE FOR AEROSPACE INDUSTRY (MIC 2018), 2018, 18 : 12 - 19
  • [22] Laser-based powder bed fusion additive manufacturing of pure copper
    Jadhav, Suraj Dinkar
    Goossens, Louca Raphael
    Kinds, Yannis
    Van Hooreweder, Brecht
    Vanmeensel, Kim
    ADDITIVE MANUFACTURING, 2021, 42
  • [23] Disruptive Force Sensor Based on Laser-based Powder-Bed-Fusion
    Chadda, Romol
    Probst, Johanna
    Hartmann, Claas
    Link, Martin
    Hessinger, Markus
    Abele, Eberhard
    Weigold, Matthias
    Kupnik, Mario
    2020 IEEE SENSORS, 2020,
  • [24] Laser Powder Bed Fusion of Dissimilar Metal Materials: A Review
    Guan, Jieren
    Wang, Qiuping
    MATERIALS, 2023, 16 (07)
  • [25] Operando tomographic microscopy during laser-based powder bed fusion of alumina
    Malgorzata G. Makowska
    Fabrizio Verga
    Stefan Pfeiffer
    Federica Marone
    Cynthia S. T. Chang
    Kevin Florio
    Christian M. Schlepütz
    Konrad Wegener
    Thomas Graule
    Steven Van Petegem
    Communications Materials, 4
  • [26] Operando tomographic microscopy during laser-based powder bed fusion of alumina
    Makowska, Malgorzata G.
    Verga, Fabrizio
    Pfeiffer, Stefan
    Marone, Federica
    Chang, Cynthia S. T.
    Florio, Kevin
    Schleputz, Christian M.
    Wegener, Konrad
    Graule, Thomas
    Van Petegem, Steven
    COMMUNICATIONS MATERIALS, 2023, 4 (01)
  • [27] Activity model for homogenization of data sets in laser-based powder bed fusion
    Feng, Shaw C.
    Witherell, Paul
    Ameta, Gaurav
    Kim, Duck Bong
    RAPID PROTOTYPING JOURNAL, 2017, 23 (01) : 137 - 148
  • [28] Infrared Thermography for Laser-Based Powder Bed Fusion Additive Manufacturing Processes
    Moylan, Shawn
    Whitenton, Eric
    Lane, Brandon
    Slotwinski, John
    40TH ANNUAL REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION: INCORPORATING THE 10TH INTERNATIONAL CONFERENCE ON BARKHAUSEN NOISE AND MICROMAGNETIC TESTING, VOLS 33A & 33B, 2014, 1581 : 1191 - 1196
  • [29] Processability of a Hot Work Tool Steel Powder Mixture in Laser-Based Powder Bed Fusion
    Hantke, Nick
    Grosswendt, Felix
    Strauch, Anna
    Fechte-Heinen, Rainer
    Roettger, Arne
    Theisen, Werner
    Weber, Sebastian
    Sehrt, Jan Torsten
    MATERIALS, 2022, 15 (07)
  • [30] Process Parameter Optimization in Metal Laser-Based Powder Bed Fusion Using Image Processing and Statistical Analyses
    Ahsan, Faiyaz
    Razmi, Jafar
    Ladani, Leila
    METALS, 2022, 12 (01)