Using Additive Manufacturing Effectively: A CAD Tool to Support Decision Making

被引:2
|
作者
Smith, P. C. [1 ]
Rennie, A. E. W. [1 ]
机构
[1] Univ Lancaster, Dept Engn, Lancaster, England
来源
PROCEEDINGS OF THE 36TH INTERNATIONAL MATADOR CONFERENCE | 2010年
关键词
Additive Manufacturing; CAD; MATERIALS SELECTION; COMPONENTS; SYSTEM;
D O I
10.1007/978-1-84996-432-6_86
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Additive manufacturing (AM) describes the use of layer manufacturing technologies (LMT) to directly produce end use parts. More commonly, LMT have been used as a method to accurately and quickly produce prototype models sometimes referred to as rapid prototyping or 3D printing. Presently, however, LMT is utilised to produce polymeric and metallic parts directly from computer aided design (CAD) model data. While advancements in machine and material technology are reasons for the ability to directly manufacture components using LMT over producing only models and prototypes, the lack of available and reliable data concerning these advancements limits the effective adoption of the technology as a substitute for other manufacturing methods. To decide when AM can be used effectively, data needs to be at the disposal of designers so that they may make decisions about manufacturing of the parts they design. Current trends in CAD software development bring design support tools into the CAD environment, as a method to increase effectiveness into the design process. A support system to guide effective use of LMT would follow this trend and give instant access to information and support decision making for designers in a CAD environment. This research collates, through information gathering and experimentation, process and material data for layer technologies and aims to develop a CAD tool for the support and guidance in decision making about appropriate and effective use of AM.
引用
收藏
页码:381 / 384
页数:4
相关论文
共 50 条
  • [1] Design for Additive Manufacturing Using LSWM: A CAD Tool for the Modelling of Lightweight and Lattice Structures
    Ceruti, Alessandro
    Ferrari, Riccardo
    Liverani, Alfredo
    SUSTAINABLE DESIGN AND MANUFACTURING 2017, 2017, 68 : 756 - 765
  • [2] A decision support system for additive manufacturing process selection using a hybrid multiple criteria decision-making method
    Wang, Yuanbin
    Zhong, Ray Y.
    Xu, Xun
    RAPID PROTOTYPING JOURNAL, 2018, 24 (09) : 1544 - 1553
  • [3] Evaluation of a decision-support tool for part orientation in EBM additive manufacturing
    Mechekour, El-Haddi
    Vignat, Frederic
    Grandvallet, Christelle
    Pourroy, Franck
    Marin, Philippe Rene
    Pailhes, Jerome
    Mbow, Mouhamadou Mansour
    Prudhomme, Guy
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2024, 131 (02) : 719 - 737
  • [4] Evaluation of a decision-support tool for part orientation in EBM additive manufacturing
    El- Haddi Mechekour
    Frédéric Vignat
    Christelle Grandvallet
    Franck Pourroy
    Philippe René Marin
    Jérôme Pailhes
    Mouhamadou Mansour Mbow
    Guy Prudhomme
    The International Journal of Advanced Manufacturing Technology, 2024, 131 (2) : 797 - 815
  • [5] Decision support for additive manufacturing deployment in remote or austere environments
    Meisel, Nicholas A.
    Williams, Christopher B.
    Ellis, Kimberly P.
    Taylor, Don
    JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT, 2016, 27 (07) : 898 - 914
  • [6] A decision-support framework for selecting additive manufacturing technologies
    Maranha, Joao
    Nascimento, Paulo Jorge
    Calcerano, Tomaz Alexandre
    Silva, Cristovao
    Mueller, Stefanie
    Moniz, Samuel
    JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT, 2023, 34 (07) : 1279 - 1311
  • [7] A Decision Support Model in Additive Manufacturing and CNC Machining
    Ngoc Thang Tran
    Van Mai Dang
    Minh Tai Le
    PROCEEDINGS OF 2019 INTERNATIONAL CONFERENCE ON SYSTEM SCIENCE AND ENGINEERING (ICSSE), 2019, : 672 - 676
  • [8] Knowledge reuse for decision aid in additive manufacturing: application on cost quotation support
    Jarrar, Qussay
    Belkadi, Farouk
    Blanc, Remy
    Kestaneci, Kenan
    Bernard, Alain
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2023, 61 (20) : 7027 - 7047
  • [9] Integrated product-process design: Material and manufacturing process selection for additive manufacturing using multi-criteria decision making
    Zaman, Uzair Khaleeq uz
    Rivette, Mickael
    Siadat, Ali
    Mousavi, Seyed Meysam
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2018, 51 : 169 - 180
  • [10] A decision support method for evaluation and process selection of Additive Manufacturing
    Bikas, Harry
    Koutsoukos, Sotiris
    Stavropoulos, Panagiotis
    52ND CIRP CONFERENCE ON MANUFACTURING SYSTEMS (CMS), 2019, 81 : 1107 - 1112