Thermal Strain-Based Simplified Prediction of Thermal Deformation Caused by Flame Bending

被引:2
|
作者
Hwang, Se-Yun [1 ]
Park, Kyoung-Geun [2 ]
Heo, Jeeyeon [2 ]
Lee, Jang-Hyun [2 ]
机构
[1] INHA Univ, Res Inst Ind Technol, 100 Inha Ro, Incheon 22212, South Korea
[2] INHA Univ, Dept Naval Architecture & Ocean Engn, 100 Inha Ro, Incheon 22212, South Korea
来源
APPLIED SCIENCES-BASEL | 2021年 / 11卷 / 05期
关键词
plate deformation; heat-affected zone (HAZ); strain as direct boundary (SDB); line heating; flame bending;
D O I
10.3390/app11052011
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
This paper describes a quick and accurate method for predicting thermal deformation due to flame bending of the curved plate located before and after the hull. Flame bending is a common method to deform the curved plate used in shipyards. Three-dimensional thermo-elasto-plastic analysis is known as the most accurate method for predicting deformed shape in the automation of frame bending. However, the three-dimensional analysis takes a lot of computational time. The quick prediction method, strain as direct boundary (SDB), was introduced, which is a simplified prediction method based on thermal strain. This simplified method implements an equivalent load as a temperature difference that can simulate thermal deformation by flame. In the case of multiple heating lines by the flame bending, the residual strain generated by the first heating line affects the other lines. To consider the effect of residual strain, the plastic material properties are also considered. Then, the distance ratio from the center line is used to generate the same temperature field in grid mesh. The results of the prediction were evaluated for the heat affected zone (HAZ) of the specimen obtained through the flame bending experiment. Therefore, this paper introduced detail procedure of the proposed SDB method and the experimental results for the practical application.
引用
收藏
页码:1 / 14
页数:14
相关论文
共 50 条
  • [31] Thermal analysis of plate in flame bending process with finite element method
    Hemmati, S.J.
    Niazi, M.A.
    Maerefat, M.
    Naghdabadi, R.
    Amirkabir (Journal of Science and Technology), 2004, 15 (57 B): : 71 - 83
  • [32] Precise prediction of photothermally induced irreversible bending deformation based on non-uniform thermal expansion of layer-structure films
    Yang, Hongwei
    Liu, Yue
    Sun, Kaicheng
    Fang, Liang
    Lu, Chunhua
    Xu, Zhongzi
    SMART MATERIALS AND STRUCTURES, 2022, 31 (09)
  • [33] Prediction of Thermal and Elastic Properties of Honeycomb Sandwich Plate for Analysis of Thermal Deformation
    Hong, Seok Min
    Lee, Jang Il
    Byun, Jae Ki
    Choi, Young Don
    TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS B, 2014, 38 (04) : 347 - 355
  • [34] MATHEMATICAL AND CFD METHODS FOR PREDICTION OF THERMAL POLLUTION CAUSED BY THERMAL POWER PLANT
    Jovcevski, Milica
    Lakovic, Mirjana S.
    Iliev, Iliya K.
    Banjac, Milos J.
    Stojkovski, Filip
    Manic, Marko
    THERMAL SCIENCE, 2023, 27 (6A): : 4485 - 4496
  • [35] Thermal and bending strain on Nb3Sn strands
    Boso, Daniela P.
    Lefik, Marek
    Schrefler, Bernhard A.
    IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY, 2006, 16 (02) : 1823 - 1827
  • [36] Skin thermal injury prediction with strain energy
    Shen, WS
    Zhang, J
    Yang, FQ
    INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION, 2005, 6 (03) : 317 - 328
  • [37] A simplified transformer thermal model based on thermal-electric analogy
    Tang, WH
    Wu, QH
    Richardson, ZJ
    IEEE TRANSACTIONS ON POWER DELIVERY, 2004, 19 (03) : 1112 - 1119
  • [38] Giant thermal conductivity and strain thermal response of nitrogen substituted diamane: a machine-learning-based prediction
    Wang, Biao
    Huang, Zhenqiao
    Xu, Xingchun
    Fan, Saifei
    Zhao, Kunlong
    Zhu, Jiaqi
    NANOSCALE, 2024, 16 (30) : 14387 - 14401
  • [39] Dynamic model based on genetic algorithms of prediction for the thermal deformation of machine tools
    Chang, CW
    Chu, MH
    Chen, YW
    Chien, SY
    Kang, Y
    PROGRESS ON ADVANCED MANUFACTURE FOR MICRO/NANO TECHNOLOGY 2005, PT 1 AND 2, 2006, 505-507 : 163 - 168
  • [40] Strain-based method for fatigue failure prediction of additively manufactured lattice structures
    Coluccia, Antonio
    De Pasquale, Giorgio
    SCIENTIFIC REPORTS, 2023, 13 (01)