Formability evaluation of 3D closed section parts from sheet metal based on geometrical information

被引:1
|
作者
Tokugawa, Akihiro [1 ]
Sato, Masahiko [2 ]
Kuriyama, Yukihisa [1 ]
Suzuki, Katsuyuki [1 ]
机构
[1] Univ Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 2778568, Japan
[2] Nippon Steel & Sumitomo Met Corp, Steel Res Labs, 20-1 Shintomi, Futtsu, Chiba 2938511, Japan
关键词
sheet metal; bending; formability; Gaussian curvature; metric tensor; DEFORMATION; PLATES;
D O I
10.1016/j.proeng.2017.04.020
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
For successful sheet metal forming, a complex design and trial process are inevitably necessary. That complex process is geometrical design, forming process selection, tool / die face design and forming condition. It may take couple of months to carry out this process, and at the end of this process try out may result in unsuccessful. The cause of this unsuccessful try out is difficult to find out because of the complexity of the design and try out process. It is proposed that a new evaluation methodology can provide semi-quantitate evaluation for the forming difficulty of the sheet. The proposed method evaluates only geometry of sheet metal parts, starting with Riemann curvature, which is decomposed into Gaussian curvature and metric tensor. Because the nature of sheet metal forming failure (breakage and wrinkle) are mainly related to in-plane deformation and not so much related to out of plane bending. Gaussian curvature is an excellent index for in-plane deformation caused by geometry angulation. Metric tensor provide quantitative evaluation for in-plane deformation. Computational time for this proposed method is a couple of minutes and is suitable for the evaluation and modification of the upstream design. (C) 2017 Published by Elsevier Ltd.
引用
收藏
页码:101 / 106
页数:6
相关论文
共 50 条
  • [31] The effects of sheet dimension on the 3D curved parts rolling based on arc-shaped rollers
    Chang, Xiang
    Li, Ming
    Sun, Depeng
    Chen, Chuandong
    MATERIA-RIO DE JANEIRO, 2024, 29 (04):
  • [32] 3D face recognition based on geometrical measurement
    Zhou, MQ
    Liu, XN
    Geng, GH
    ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS, 2004, 3338 : 244 - 249
  • [33] 3D Object Detection based on Geometrical Segmentation
    Teng, Zhou
    Xiao, Jing
    2013 INTERNATIONAL CONFERENCE ON COMPUTER AND ROBOT VISION (CRV), 2013, : 67 - 74
  • [34] Weld Metal Additive Manufacturing for LARGE 3D PARTS
    Narayanan, Badri K.
    Melfi, Teresa
    WELDING JOURNAL, 2022, 101 (09) : 30 - 32
  • [35] Nanoparticles reduce defects in 3D printed metal parts
    Henry Quansah Afful
    MRS Bulletin, 2022, 47 : 522 - 523
  • [36] Superhydrophobic surface processing for metal 3D printed parts
    Huang, Wuji
    Nelson, Benjamin
    Tian, Steven
    Ordikhani-Seyedlar, Ramin
    Auyeung, Raymond C. Y.
    Samanta, Avik
    Hu, Hui
    Shaw, Scott
    Lamuta, Caterina
    Ding, Hongtao
    APPLIED MATERIALS TODAY, 2022, 29
  • [37] Nanoparticles reduce defects in 3D printed metal parts
    Afful, Henry Quansah
    MRS BULLETIN, 2022, 47 (06) : 522 - 523
  • [38] 3D protein classification using topological, geometrical and biological information
    Tsatsaias, V.
    Daras, P.
    Strintzis, M. G.
    2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7, 2007, : 3333 - +
  • [39] 3D conceptual design of sheet metal products by sketching
    Shpitalni, M
    Lipson, H
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2000, 103 (01) : 128 - 134
  • [40] Sheet-metal software integrates with 3D modeler
    不详
    MACHINE DESIGN, 1996, 68 (22) : 144 - 144