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- 저자 : Bashista Kumar Mahanta (검색결과 1 건)
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Jai Tiwari,Bashista Kumar Mahanta,Hariharan Krishnaswamy,Sivasrinivasu Devadula,Murugaiyan Amirthalingam 대한금속·재료학회 2023 METALS AND MATERIALS International Vol.29 No.8
Application of electric current pulses while deforming a material, commonly referred to as electric-assisted forming (EAF), isknown to have desirable effects over its formability. In the finite element simulation of this electric-assisted deformation, thetime-temperature profile is obtained by providing various temperature dependent thermo-physical properties of the material. Out of all the required properties for such analysis, effective heat transfer coefficient and Joule heat fraction are sensitive tothe microstructure of the material, geometry of the specimen and the ambient conditions. Generally, these coefficients areidentified by iterative FE simulations. A clear methodology to estimate these parameters has not been established yet. In thepresent work, a procedure is developed using a genetically evolved meta-model of the time-temperature profile, which isexperimentally obtained from the pulsed current assisted uniaxial tension and compression tests. For this purpose, variousmulti-objective optimization techniques such as BioGP, EvoNN and cRVEA have been utilized to estimate the temperatureprofile in each case. It is shown that the tri-objective optimization procedure predicts the experimental temperature profilewith greater accuracy (within ± 5%) and is best suited to obtain the thermal modelling parameters of electric-assisted deformation,than other optimization techniques used in this work.
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