Inverse Identification of Constitutive Model for GH4198 Based on Genetic–Particle Swarm Algorithm. Jin, Q., Li, J., Li, F., Fu, R., Yu, H., & Guo, L. Materials, 17(17):4274, January, 2024. Publisher: Multidisciplinary Digital Publishing Institute![Inverse Identification of Constitutive Model for GH4198 Based on Genetic–Particle Swarm Algorithm [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex A precise Johnson-Cook (J–C) constitutive model is the foundation for precise calculation of finite-element simulation. In order to obtain the J–C constitutive model accurately for a new cast and forged alloy GH4198, an inverse identification of J–C constitutive model was proposed based on a genetic–particle swarm algorithm. Firstly, a quasi-static tensile test at different strain rates was conducted to determine the initial yield strength A, strain hardening coefficient B, and work hardening exponent n for the material’s J–C model. Secondly, a new method for orthogonal cutting model was constructed based on the unequal division shear theory and considering the influence of tool edge radius. In order to obtain the strain-rate strengthening coefficient C and thermal softening coefficient m, an orthogonal cutting experiment was conducted. Finally, in order to validate the precision of the constitutive model, an orthogonal cutting thermo-mechanical coupling simulation model was established. Meanwhile, the sensitivity of J–C constitutive model parameters on simulation results was analyzed. The results indicate that the parameter m significantly affects chip morphology, and that the parameter C has a notable impact on the cutting force. This study addressed the issue of missing constitutive parameters for GH4198 and provided a theoretical reference for the optimization and identification of constitutive models for other aerospace materials.
@article{jin_inverse_2024,
title = {Inverse {Identification} of {Constitutive} {Model} for {GH4198} {Based} on {Genetic}–{Particle} {Swarm} {Algorithm}},
volume = {17},
copyright = {http://creativecommons.org/licenses/by/3.0/},
issn = {1996-1944},
url = {https://www.mdpi.com/1996-1944/17/17/4274},
doi = {10.3390/ma17174274},
abstract = {A precise Johnson-Cook (J–C) constitutive model is the foundation for precise calculation of finite-element simulation. In order to obtain the J–C constitutive model accurately for a new cast and forged alloy GH4198, an inverse identification of J–C constitutive model was proposed based on a genetic–particle swarm algorithm. Firstly, a quasi-static tensile test at different strain rates was conducted to determine the initial yield strength A, strain hardening coefficient B, and work hardening exponent n for the material’s J–C model. Secondly, a new method for orthogonal cutting model was constructed based on the unequal division shear theory and considering the influence of tool edge radius. In order to obtain the strain-rate strengthening coefficient C and thermal softening coefficient m, an orthogonal cutting experiment was conducted. Finally, in order to validate the precision of the constitutive model, an orthogonal cutting thermo-mechanical coupling simulation model was established. Meanwhile, the sensitivity of J–C constitutive model parameters on simulation results was analyzed. The results indicate that the parameter m significantly affects chip morphology, and that the parameter C has a notable impact on the cutting force. This study addressed the issue of missing constitutive parameters for GH4198 and provided a theoretical reference for the optimization and identification of constitutive models for other aerospace materials.},
language = {en},
number = {17},
urldate = {2025-11-04},
journal = {Materials},
author = {Jin, Qichao and Li, Jun and Li, Fulin and Fu, Rui and Yu, Hongyu and Guo, Lei},
month = jan,
year = {2024},
note = {Publisher: Multidisciplinary Digital Publishing Institute},
keywords = {cast and wrought alloy GH4198, constitutive model, finite-element model, genetic particle swarm optimization, inverse identification, orthogonal cutting},
pages = {4274},
}
Downloads: 0
{"_id":"wpdnLX8rhCb6DjZpp","bibbaseid":"jin-li-li-fu-yu-guo-inverseidentificationofconstitutivemodelforgh4198basedongeneticparticleswarmalgorithm-2024","author_short":["Jin, Q.","Li, J.","Li, F.","Fu, R.","Yu, H.","Guo, L."],"bibdata":{"bibtype":"article","type":"article","title":"Inverse Identification of Constitutive Model for GH4198 Based on Genetic–Particle Swarm Algorithm","volume":"17","copyright":"http://creativecommons.org/licenses/by/3.0/","issn":"1996-1944","url":"https://www.mdpi.com/1996-1944/17/17/4274","doi":"10.3390/ma17174274","abstract":"A precise Johnson-Cook (J–C) constitutive model is the foundation for precise calculation of finite-element simulation. In order to obtain the J–C constitutive model accurately for a new cast and forged alloy GH4198, an inverse identification of J–C constitutive model was proposed based on a genetic–particle swarm algorithm. Firstly, a quasi-static tensile test at different strain rates was conducted to determine the initial yield strength A, strain hardening coefficient B, and work hardening exponent n for the material’s J–C model. Secondly, a new method for orthogonal cutting model was constructed based on the unequal division shear theory and considering the influence of tool edge radius. In order to obtain the strain-rate strengthening coefficient C and thermal softening coefficient m, an orthogonal cutting experiment was conducted. Finally, in order to validate the precision of the constitutive model, an orthogonal cutting thermo-mechanical coupling simulation model was established. Meanwhile, the sensitivity of J–C constitutive model parameters on simulation results was analyzed. The results indicate that the parameter m significantly affects chip morphology, and that the parameter C has a notable impact on the cutting force. This study addressed the issue of missing constitutive parameters for GH4198 and provided a theoretical reference for the optimization and identification of constitutive models for other aerospace materials.","language":"en","number":"17","urldate":"2025-11-04","journal":"Materials","author":[{"propositions":[],"lastnames":["Jin"],"firstnames":["Qichao"],"suffixes":[]},{"propositions":[],"lastnames":["Li"],"firstnames":["Jun"],"suffixes":[]},{"propositions":[],"lastnames":["Li"],"firstnames":["Fulin"],"suffixes":[]},{"propositions":[],"lastnames":["Fu"],"firstnames":["Rui"],"suffixes":[]},{"propositions":[],"lastnames":["Yu"],"firstnames":["Hongyu"],"suffixes":[]},{"propositions":[],"lastnames":["Guo"],"firstnames":["Lei"],"suffixes":[]}],"month":"January","year":"2024","note":"Publisher: Multidisciplinary Digital Publishing Institute","keywords":"cast and wrought alloy GH4198, constitutive model, finite-element model, genetic particle swarm optimization, inverse identification, orthogonal cutting","pages":"4274","bibtex":"@article{jin_inverse_2024,\n\ttitle = {Inverse {Identification} of {Constitutive} {Model} for {GH4198} {Based} on {Genetic}–{Particle} {Swarm} {Algorithm}},\n\tvolume = {17},\n\tcopyright = {http://creativecommons.org/licenses/by/3.0/},\n\tissn = {1996-1944},\n\turl = {https://www.mdpi.com/1996-1944/17/17/4274},\n\tdoi = {10.3390/ma17174274},\n\tabstract = {A precise Johnson-Cook (J–C) constitutive model is the foundation for precise calculation of finite-element simulation. In order to obtain the J–C constitutive model accurately for a new cast and forged alloy GH4198, an inverse identification of J–C constitutive model was proposed based on a genetic–particle swarm algorithm. Firstly, a quasi-static tensile test at different strain rates was conducted to determine the initial yield strength A, strain hardening coefficient B, and work hardening exponent n for the material’s J–C model. Secondly, a new method for orthogonal cutting model was constructed based on the unequal division shear theory and considering the influence of tool edge radius. In order to obtain the strain-rate strengthening coefficient C and thermal softening coefficient m, an orthogonal cutting experiment was conducted. Finally, in order to validate the precision of the constitutive model, an orthogonal cutting thermo-mechanical coupling simulation model was established. Meanwhile, the sensitivity of J–C constitutive model parameters on simulation results was analyzed. The results indicate that the parameter m significantly affects chip morphology, and that the parameter C has a notable impact on the cutting force. This study addressed the issue of missing constitutive parameters for GH4198 and provided a theoretical reference for the optimization and identification of constitutive models for other aerospace materials.},\n\tlanguage = {en},\n\tnumber = {17},\n\turldate = {2025-11-04},\n\tjournal = {Materials},\n\tauthor = {Jin, Qichao and Li, Jun and Li, Fulin and Fu, Rui and Yu, Hongyu and Guo, Lei},\n\tmonth = jan,\n\tyear = {2024},\n\tnote = {Publisher: Multidisciplinary Digital Publishing Institute},\n\tkeywords = {cast and wrought alloy GH4198, constitutive model, finite-element model, genetic particle swarm optimization, inverse identification, orthogonal cutting},\n\tpages = {4274},\n}\n\n\n\n\n\n\n\n","author_short":["Jin, Q.","Li, J.","Li, F.","Fu, R.","Yu, H.","Guo, L."],"key":"jin_inverse_2024","id":"jin_inverse_2024","bibbaseid":"jin-li-li-fu-yu-guo-inverseidentificationofconstitutivemodelforgh4198basedongeneticparticleswarmalgorithm-2024","role":"author","urls":{"Paper":"https://www.mdpi.com/1996-1944/17/17/4274"},"keyword":["cast and wrought alloy GH4198","constitutive model","finite-element model","genetic particle swarm optimization","inverse identification","orthogonal cutting"],"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"https://bibbase.org/zotero/pranoyr","dataSources":["ybfSxqcjZRxzggkgs"],"keywords":["cast and wrought alloy gh4198","constitutive model","finite-element model","genetic particle swarm optimization","inverse identification","orthogonal cutting"],"search_terms":["inverse","identification","constitutive","model","gh4198","based","genetic","particle","swarm","algorithm","jin","li","li","fu","yu","guo"],"title":"Inverse Identification of Constitutive Model for GH4198 Based on Genetic–Particle Swarm Algorithm","year":2024}