Hot stamping parameters optimization of boron steel using a response surface methodology based on central composite design

被引:0
|
作者
Ming-dong Huang
Bao-yu Wang
Jing Zhou
机构
[1] University of Science and Technology Beijing,School of Mechanical Engineering
关键词
hot stamping; advanced high strength steel; response surface method; optimization;
D O I
暂无
中图分类号
学科分类号
摘要
The effect of hot stamping parameters on the mechanical properties of 22MnB5 steel sheet with thickness of 1.1 mm is studied. The considered parameters are austenization temperature (800–1000 °C), austenitizing soaking time (60–540 s), initial deformation temperature (560–800 °C) and tool temperature (20–220 °C). In order to obtain hot stamped parts with optimal mechanical properties, response surface methodology based on the central composite design has been employed to design the experiment matrix. Tensile strength of hot stamped parts is determined as the relation in the mathematical model. The optimal condition and objective effects of parameters are determined via this relation. The statistical analysis showed that all four factors significantly affect the tensile strength of the hot stamped parts. The optimum austcnization temperature is found to be 918.89 °C with the austenitizing soaking time, initial deformation temperature and tool temperature of 279.45 s, 684.69 °C and 21.85 °C, respectively. These optimal hot stamping parameters prove to have high tensile strength (1631.84 MPa) where deviation between predicted and actual response falls within 2%.
引用
收藏
页码:519 / 526
页数:7
相关论文
共 50 条
  • [1] Hot Stamping Parameters Optimization of Boron Steel Using a Response Surface Methodology Based on Central Composite Design
    Ming-dong HUANG
    Bao-yu WANG
    Jing ZHOU
    [J]. Journal of Iron and Steel Research(International), 2015, 22 (06) : 519 - 526
  • [2] Hot Stamping Parameters Optimization of Boron Steel Using a Response Surface Methodology Based on Central Composite Design
    Huang, Ming-dong
    Wang, Bao-yu
    Zhou, Jing
    [J]. JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL, 2015, 22 (06) : 519 - 526
  • [3] Optimization of quenching parameters for hot stamping boron steel B1500HS based on response surface methodology
    He, Lianfang
    Zhao, Guoqun
    Li, Huiping
    Xiang, Nan
    [J]. Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2011, 47 (08): : 77 - 82
  • [5] Optimization of Diesel Biodegrading Conditions Using Response Surface Methodology Based on Central Composite Design
    Umar, Zubairu Darma
    Musa, Aminu
    Yunusa, Yahaya Riko
    [J]. POLYCYCLIC AROMATIC COMPOUNDS, 2022, 42 (05) : 2002 - 2012
  • [6] A comparative study on the optimization of the fatty acids pretreatment parameters using central composite design with response surface methodology
    Borazjani, Marjan
    Bahram, Morteza
    Banabazi, Mohammad Hossein
    [J]. JOURNAL OF THE IRANIAN CHEMICAL SOCIETY, 2020, 17 (11) : 2877 - 2883
  • [7] Response Surface Methodology Optimization of Process Parameters for Silage Production by Effective Microorganisms using Central Composite Design
    Abd-Talib, Norfahana
    Mohd-Setapar, Siti Hamidah
    Nor, Faizah Musa
    Aidee, Kamal Khamis
    [J]. RESEARCH JOURNAL OF BIOTECHNOLOGY, 2013, 8 (09): : 13 - 16
  • [8] A comparative study on the optimization of the fatty acids pretreatment parameters using central composite design with response surface methodology
    Marjan Borazjani
    Morteza Bahram
    Mohammad Hossein Banabazi
    [J]. Journal of the Iranian Chemical Society, 2020, 17 : 2877 - 2883
  • [9] Optimization design of process parameters for cold and hot composite roll forming of the AHSS square tube using response surface methodology
    Yu Wang
    Zelalem Abathun Mehari
    Junyuan Wu
    Jingtao Han
    [J]. The International Journal of Advanced Manufacturing Technology, 2022, 123 : 527 - 542
  • [10] Optimization design of process parameters for cold and hot composite roll forming of the AHSS square tube using response surface methodology
    Wang, Yu
    Mehari, Zelalem Abathun
    Wu, Junyuan
    Han, Jingtao
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2022, 123 (1-2): : 527 - 542