Nonisothermal warm deep drawing of SS304: FE modeling and experiments using servo press

被引:0
|
作者
Serhat Kaya
机构
[1] Atilim University,Department of Automotive Engineering
[2] The Ohio State University,Engineering Research Center for Net Shape Manufacturing (ERC/NSM)
来源
The International Journal of Advanced Manufacturing Technology | 2016年 / 83卷
关键词
Warm deep drawing; Nonisothermal; Viscoplastic; Stainless steel 304; Servo press; Finite element analysis;
D O I
暂无
中图分类号
学科分类号
摘要
Experimental and viscoplastic finite element analysis (FEA) of thermo-mechanical plastic deformation in nonisothermal warm deep drawing is studied using SS304. A nonisothermal deep drawing tool is used in a servo-motor-controlled press. Drawability window of SS304 under elevated temperatures (25–225 °C) and low to high strain rates (drawing speeds of 2.5, 25, and 50 mm/s) were determined. A viscoplastic thermal material model is adopted for nonwork softening material behaviors, as seen in low-temperature forming of SS304, and found to be easily applicable and quite satisfactory. Tensile and equi-biaxial bulge tests were conducted for more accurate flow stress data to be used in FEA. Measured punch load–stroke and cup’s curvilinear thickness (rolling/transverse) curves were successfully compared with predictions from the nonisothermal FE model of the warm deep drawing.
引用
收藏
页码:1047 / 1056
页数:9
相关论文
共 15 条
  • [1] Nonisothermal warm deep drawing of SS304: FE modeling and experiments using servo press
    Kaya, Serhat
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2016, 83 (5-8): : 1047 - 1056
  • [2] Investigation of deep drawing of lightweight bimetallic Al1050/SS304 sandwich composite cup
    Takalkar, Atul S.
    Chinnapandi, Lenin Babu Mailan
    Mathan, G.
    Jeyanthi, S.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART L-JOURNAL OF MATERIALS-DESIGN AND APPLICATIONS, 2021, 235 (02) : 341 - 352
  • [3] Evaluation of Press Formability Using Servo Die Cushion in Deep Drawing
    Watanabe, Akihiro
    Kotani, Yuji
    Watari, Hisaki
    Shimizu, Takehiro
    PRICM 7, PTS 1-3, 2010, 654-656 : 322 - +
  • [4] Motion profile optimization of servo press in deep drawing process of SUS 304 stainless steel sheets
    Lin, Bor-Tsuen
    Liu, Kuo-Wang
    Li, Tse-Chang
    Li, Po-Hsien
    Kuo, Chun-Chih
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2023, 127 (9-10): : 4181 - 4198
  • [5] Motion profile optimization of servo press in deep drawing process of SUS 304 stainless steel sheets
    Bor-Tsuen Lin
    Kuo-Wang Liu
    Tse-Chang Li
    Po-Hsien Li
    Chun-Chih Kuo
    The International Journal of Advanced Manufacturing Technology, 2023, 127 : 4181 - 4198
  • [6] Modelling and analysis of deep drawing with utilisation of vibrations and servo press using response surface methodology
    Chu, T. -H.
    Fuh, K. -H.
    Yeh, W. -C.
    MATERIALS RESEARCH INNOVATIONS, 2014, 18 : 936 - 939
  • [7] Determination of heat partition between tool and workpiece during FSW of SS304 using 3D CFD modeling
    Pal, Subrata
    Phaniraj, M. P.
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2015, 222 : 280 - 286
  • [8] Finite Element Modeling and Prediction of Thickness Strains of Deep Drawing using an ANN for ASS304
    Prasad, K. Sajun
    Desu, Raghuram Karthik
    Lade, Jayahari
    Singh, Swadesh Kumar
    Gupta, Amit Kumar
    NUMISHEET 2014: THE 9TH INTERNATIONAL CONFERENCE AND WORKSHOP ON NUMERICAL SIMULATION OF 3D SHEET METAL FORMING PROCESSES: PART A BENCHMARK PROBLEMS AND RESULTS AND PART B GENERAL PAPERS, 2013, 1567 : 402 - 405
  • [9] Performance evaluation and hybrid deep recurrent neural network-based prediction of SS304 turning characteristics using nanoparticles added water emulsified MQL
    Prasanth Ponnusamy
    Sekar Tamilperuvalathan
    Biomass Conversion and Biorefinery, 2023, 13 : 7349 - 7373
  • [10] Performance evaluation and hybrid deep recurrent neural network-based prediction of SS304 turning characteristics using nanoparticles added water emulsified MQL
    Ponnusamy, Prasanth
    Tamilperuvalathan, Sekar
    BIOMASS CONVERSION AND BIOREFINERY, 2023, 13 (08) : 7349 - 7373