BUILD TIME AND COST MODELS FOR ADDITIVE MANUFACTURING PROCESS SELECTION

被引:0
|
作者
Yim, Sungshik [1 ]
Rosen, David [1 ]
机构
[1] Georgia Inst Technol, Atlanta, GA 30332 USA
关键词
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Due to the varieties of available Additive Manufacturing (AM) technologies, it is challenging to select appropriate processes to cost effectively build a part, especially when a user does not have in-depth knowledge about AM. In this paper, we introduce approximate models of build time and cost for AM processes that can be used for early stage process selection. Therefore, a user can identify and compare candidate manufacturing processes based on build time and cost estimates that are computed from approximate geometric information about the part, specifically the part's bounding box and its estimated volume. The build time model is based on a generalized parameterization of AM processes that applies to laser-based scanning (Stereolithography, powder bed fusion), filament extrusion (fused-deposition modeling), ink-jet printing, and mask-projection processes. Build time estimates were tested by comparing them to the measured build time of parts in fabricated using Stereolithography, ink-jet printing, and fused deposition modeling processes.
引用
收藏
页码:375 / 382
页数:8
相关论文
共 50 条
  • [31] A FRAMEWORK FOR SELF-REALIZING PROCESS MODELS FOR ADDITIVE MANUFACTURING
    Yim, Sungshik
    Rosen, David W.
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2011, VOL 2, PTS A AND B, 2012, : 1099 - 1109
  • [32] Build Orientation Optimization Problem in Additive Manufacturing
    Rocha, Ana Maria A. C.
    Pereira, Ana I.
    Vaz, A. Ismael F.
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS (ICCSA 2018), PT II, 2018, 10961 : 669 - 682
  • [33] Concurrent Structure and Process Optimization for Minimum Cost Metal Additive Manufacturing
    Ulu, Erva
    Huang, Runze
    Kara, Levent Burak
    Whitefoot, Kate S.
    JOURNAL OF MECHANICAL DESIGN, 2019, 141 (06)
  • [34] A multicriteria decision-making method for additive manufacturing process selection
    Ren, Diqian
    Choi, Jun-Ki
    Schneider, Kellie
    RAPID PROTOTYPING JOURNAL, 2022, 28 (11) : 77 - 91
  • [35] Robust Metal Additive Manufacturing Process Selection and Development for Aerospace Components
    Paul Gradl
    Darren C. Tinker
    Alison Park
    Omar R. Mireles
    Marissa Garcia
    Ryan Wilkerson
    Christopher Mckinney
    Journal of Materials Engineering and Performance, 2022, 31 : 6013 - 6044
  • [36] Robust Metal Additive Manufacturing Process Selection and Development for Aerospace Components
    Gradl, Paul
    Tinker, Darren C.
    Park, Alison
    Mireles, Omar R.
    Garcia, Marissa
    Wilkerson, Ryan
    Mckinney, Christopher
    JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE, 2022, 31 (08) : 6013 - 6044
  • [37] Neural network-based build time estimation for additive manufacturing: a performance comparison
    Oh, Yosep
    Sharp, Michael
    Sprock, Timothy
    Kwon, Soonjo
    JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING, 2021, 8 (05) : 1243 - 1256
  • [38] Real-Time Models for Manufacturing Processes: How to Build Predictive Reduced Models
    Horr, Amir M.
    Drexler, Hugo
    PROCESSES, 2025, 13 (01)
  • [39] Process build-time estimator algorithm for laminated object manufacturing
    Kechagias, J
    Maropoulos, S
    Karagiannis, S
    RAPID PROTOTYPING JOURNAL, 2004, 10 (05) : 297 - 304
  • [40] Selection of additive manufacturing processes
    Wang, Yuanbin
    Blache, Robert
    Xu, Xun
    RAPID PROTOTYPING JOURNAL, 2017, 23 (02) : 434 - 447