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Determination of the Johnson-Cook Constitutive Model Parameters of Materials by Cluster Global Optimization Algorithm

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An Erratum to this article was published on 04 August 2016

Abstract

The Johnson-Cook (J-C) constitutive model is widely used in the finite element simulation, as this model shows the relationship between stress and strain in a simple way. In this paper, a cluster global optimization algorithm is proposed to determine the J-C constitutive model parameters of materials. A set of assumed parameters is used for the accuracy verification of the procedure. The parameters of two materials (401 steel and 823 steel) are determined. Results show that the procedure is reliable and effective. The relative error between the optimized and assumed parameters is no more than 4.02%, and the relative error between the optimized and assumed stress is 0.2% × 10−5. The J-C constitutive parameters can be determined more precisely and quickly than the traditional manual procedure. Furthermore, all the parameters can be simultaneously determined using several curves under different experimental conditions. A strategy is also proposed to accurately determine the constitutive parameters.

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Authors and Affiliations

  1. School of Materials Science and Engineering, Beijing Institute of Technology, Beijing, 100081, China

    Zhipeng Huang, Lihong Gao, Yangwei Wang & Fuchi Wang

  2. National Key Laboratory of Science and Technology on Materials under Shock and Impact, Beijing, 100081, China

    Lihong Gao, Yangwei Wang & Fuchi Wang

Authors
  1. Zhipeng Huang
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  2. Lihong Gao
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  3. Yangwei Wang
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  4. Fuchi Wang
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Correspondence to Zhipeng Huang.

Additional information

An erratum to this article can be found at http://dx.doi.org/10.1007/s11665-016-2256-4.

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Huang, Z., Gao, L., Wang, Y. et al. Determination of the Johnson-Cook Constitutive Model Parameters of Materials by Cluster Global Optimization Algorithm. J. of Materi Eng and Perform 25, 4099–4107 (2016). https://doi.org/10.1007/s11665-016-2178-1

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  • DOI: https://doi.org/10.1007/s11665-016-2178-1

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