Real-time in-process control methods of process parameters for additive manufacturing

被引:1
|
作者
Kim, Sanglae [1 ,2 ]
Kim, Eui-Hyuk [2 ]
Lee, Wonhee [2 ]
Sim, Minsung [2 ]
Kim, Insup [2 ]
Noh, Jinhong [2 ]
Kim, Jeong-Hwan [2 ]
Lee, Suhan [2 ]
Park, Inkyu [2 ]
Su, Pei-Chen [3 ]
Andreu, Alberto [1 ,2 ]
Yoon, Yong-Jin [2 ,3 ]
机构
[1] Unitech3DP Inc, Unitech3DP R&D Ctr, Daejeon 34051, South Korea
[2] Korea Adv Inst Sci & Technol KAIST, Dept Mech Engn, Daejeon, South Korea
[3] Nanyang Technol Univ NTU, Sch Mech & Aerosp Engn, Singapore 639798, Singapore
关键词
Real-time; Process parameter; Control; In -process control; Additive manufacturing; Software; CLOSED-LOOP CONTROL; ITERATIVE LEARNING CONTROL; FEEDBACK-CONTROL; COMPUTER VISION; QUALITY-CONTROL; HEIGHT CONTROL; EXTRUSION; LASER; WIRE; OPTIMIZATION;
D O I
10.1016/j.jmsy.2024.05.008
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Additive Manufacturing, also known as 3D printing, fabricates objects in a layer-by-layer manner. In recent years, extensive efforts have been made to evolve 3D printing technologies from rapid prototyping technologies to enable industrial implementation. To this end, numerous researchers have investigated the effect of process parameters on final properties of printed parts such as mechanical properties or dimensional and geometric accuracy, proposed hardware, and software modifications to improve these properties, or implemented inprocess monitoring capabilities during manufacturing to enable the detection of defects without the need for destructive testing and therefore enable part quality assessment. However, whilst in-process monitoring efforts are essential, these are limited to only flag defects rather than preventing them. Consequently, these efforts do not ensure part quality and do not reduce material waste in the form of scrap parts. As a result, researchers have more recently proposed the implementation of real-time process parameter control in order to correct defects formed during manufacturing and prevent these from continuously occurring. This review summarizes real-time in-process control of process parameters of non-metallic and metallic additive manufacturing technologies. The reviewed work is further classified according to the process parameters that were used for control, mainly dividing these into heat source and non-heat source process parameters.
引用
收藏
页码:1067 / 1090
页数:24
相关论文
共 50 条
  • [21] Additive manufacturing process monitoring and control by non-destructive testing techniques: challenges and in-process monitoring
    Lu, Q. Y.
    Wong, C. H.
    [J]. VIRTUAL AND PHYSICAL PROTOTYPING, 2018, 13 (02) : 39 - 48
  • [22] Real-time, in-process gauging of mill-turned components
    不详
    [J]. ASSEMBLY AUTOMATION, 2008, 28 (03) : 264 - 265
  • [23] Real-time control of a measurement process
    Kacker, R
    Zhang, NF
    Hagwood, C
    [J]. METROLOGIA, 1996, 33 (05) : 433 - 445
  • [24] On real-time control and process monitoring of wastewater treatment plants:: real-time process monitoring
    Wade, MJ
    Sánchez, A
    Katebi, MR
    [J]. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2005, 27 (03) : 173 - 193
  • [25] In-process measurement of the surface quality for a novel finishing process for polymer additive manufacturing
    Syam, Wahyudin P.
    Leach, Richard
    Rybalcenko, Konstantin
    Gaio, Andre
    Crabtree, Joseph
    [J]. 15TH CIRP CONFERENCE ON COMPUTER AIDED TOLERANCING, CIRP CAT 2018, 2018, 75 : 108 - 113
  • [26] OPTICAL METHODS FOR IN-PROCESS MEASUREMENT IN MANUFACTURING TECHNOLOGY
    VESPER, B
    [J]. TECHNISCHES MESSEN, 1989, 56 (01): : 3 - 8
  • [27] Process parameters influence in additive manufacturing
    Ingrassia, T.
    Nigrelli, Vincenzo
    Ricotta, V.
    Tartamella, C.
    [J]. ADVANCES ON MECHANICS, DESIGN ENGINEERING AND MANUFACTURING, 2017, : 261 - 270
  • [28] PROCESS MONITORING IN EMULSION MANUFACTURING - TORQUE MEASUREMENT AS IN-PROCESS CONTROL IN EMULSION MANUFACTURING
    RANDEGGER, R
    IMANIDIS, G
    JUCH, RD
    BIRRENBACH, G
    LEUENBERGER, H
    [J]. PHARMAZEUTISCHE INDUSTRIE, 1994, 56 (07): : 648 - 654
  • [29] REAL-TIME CONTROL OF CYBER-PHYSICAL MANUFACTURING PROCESS UNDER UNCERTAINTY
    Nannapaneni, Saideep
    Mahadevan, Sankaran
    Dubey, Abhishek
    [J]. PROCEEDINGS OF THE ASME 13TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE, 2018, VOL 3, 2018,
  • [30] A MANUFACTURING DRIVEN REAL-TIME STATISTICAL PROCESS-CONTROL IMPLEMENTATION MODEL
    HUNT, SJ
    [J]. IEEE/SEMI INTERNATIONAL SEMICONDUCTOR MANUFACTURING SCIENCE SYMPOSIUM: THEME : SEMICONDUCTOR MANUFACTURING, 1989, : 41 - 45