Optimisation of micro injection moulding process through design of experiments

被引:13
|
作者
Packianather, M. [1 ]
Chan, F. [1 ]
Griffiths, C. [1 ]
Dimov, S.
Pham, D. T.
机构
[1] Cardiff Univ, IMME, Sch Engn, Queens Bldg, Cardiff CF24 3AA, S Glam, Wales
关键词
Micro Injection Moulding (MIM); Design of Experiments (DoE); Full Factorial; Fractional Factorial; Optimal Design;
D O I
10.1016/j.procir.2013.09.052
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The paper presents the optimisation of Micro Injection Moulding (MIM) process through Design of Experiments (DoE). MIM is a relatively new technology which is used for the rapid manufacture of micro components. In order to meet the quality and reliability constraints it is important to reduce variability during its operation due to changes in process parameters. In this study, an understanding of the MIM process and consequently its optimisation is carried out by DoE based on six parameters which influence the surface quality, flow length and the aspect ratio. Significant single process parameters and interactions between them were determined through statistical analysis. For the 2-level test, an aspect ratio of 20, 21, and 20 were achieved respectively for Polypropylene (PP), Acrylonitrile-Butadiene-Styrene (ABS) and Polyoxymethylene (POM). (C) 2012 The Authors. Published by Elsevier B.V.
引用
收藏
页码:300 / 305
页数:6
相关论文
共 50 条
  • [21] Evaluating and controlling process variability in micro-injection moulding
    Usama M. Attia
    Jeffrey R. Alcock
    The International Journal of Advanced Manufacturing Technology, 2011, 52 : 183 - 194
  • [22] Computational tools for the optimal design of the injection moulding process
    Bikas, A
    Pantelelis, N
    Kanarachos, A
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2002, 122 (01) : 112 - 126
  • [23] Computer aided process and design optimization for injection moulding
    Turng, LS
    Peic, M
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2002, 216 (12) : 1523 - 1532
  • [24] Application of the Digital Twin for in process monitoring of the micro injection moulding process quality
    Modoni, Gianfranco E.
    Stampone, Benedetta
    Trotta, Gianluca
    COMPUTERS IN INDUSTRY, 2022, 135
  • [25] Design Optimisation of an Optical Component Used in an Endoscopic Micro Distal End Fabricated with Two-Shot Injection Moulding
    Vella, P.
    Farrugia, P.
    Rochman, A.
    Camilleri, C.
    PROCEEDINGS OF 2018 IEEE 9TH INTERNATIONAL CONFERENCE ON MECHANICAL AND INTELLIGENT MANUFACTURING TECHNOLOGIES (ICMIMT 2018), 2018, : 182 - 186
  • [26] Multiple response optimisation based on the ANN theory of complex injection moulding process
    Su, Hai-tao
    Xie, Wei-bin
    Zeng, Hui
    INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2014, 50 (3-4) : 186 - 190
  • [27] Multiple response optimisation based on the ANN theory of complex injection moulding process
    Su, Hai-Tao
    Xie, Wei-Bin
    Zeng, Hui
    International Journal of Computer Applications in Technology, 2014, 50 (03) : 186 - 190
  • [28] Warpage Optimisation in Injection Moulding Process using Response Surface Methodology (RSM)
    Asyirah, B. N.
    Shayfull, Z.
    Nasir, S. M.
    Fathullah, M.
    Rashidi, M. M.
    3RD ELECTRONIC AND GREEN MATERIALS INTERNATIONAL CONFERENCE 2017 (EGM 2017), 2017, 1885
  • [29] Micro powder injection moulding
    Zauner, R
    MICROELECTRONIC ENGINEERING, 2006, 83 (4-9) : 1442 - 1444
  • [30] Micro assembly injection moulding
    Michaeli, W.
    Opfermann, D.
    MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS, 2006, 12 (07): : 616 - 619