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- 저자 : K. Chandrashekhara (검색결과 2 건)
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S. K. Dasari,S. Ganguly,A. Abutunis,K. Chandrashekhara,M. F. Buchely,S. N. Lekakh,R. J. O’Malley,T. Natarajan 대한금속·재료학회 2023 METALS AND MATERIALS International Vol.29 No.11
Microstructural changes and softening due to static recrystallization have a critical influence on thermo-mechanical behaviorof high strength steels during industrial multi-pass hot rolling. Numerical simulation using finite element analysis (FEA)can be used to accurately predict the softening behavior during the hot rolling process. Therefore, the implementation of anexperimentally defined static recrystallization model into FEA is necessary to get realistic simulation prediction. In this study,the extent of softening during static recrystallization in Si and Mn alloyed high strength steel was measured using doublehit tests. A Gleeble™ thermo-mechanical simulator was used to perform the double hit tests with variations in temperature,strain rate, and interpass time. The kinetics of static recrystallization was developed based on the experimental results andimplemented into a finite element model of a multi-pass plate hot rolling process using explicit subroutines. Three differentmodeling approaches were implemented in Abaqus to predict the fraction of static recrystallization and softening duringmulti-pass hot rolling. Simulation results showed that the fraction of recrystallization significantly depends on the extent ofthickness reduction during rolling at a typical industrial multi-pass schedule. Additionally, an increase in temperature greatlyincreased the fraction of recrystallization and static softening. The suggested approach could be used for the optimizationof the hot rolling process for Si and Mn alloyed high strength steels.
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Hu, J.,Sundararaman, S.,Menta, V.G.K.,Chandrashekhara, K.,Chernicoff, William The Korean Society for Composite Materials 2009 Advanced composite materials Vol.18 No.3
Safe installation and operation of high-pressure composite cylinders for hydrogen storage are of primary concern. It is unavoidable for the cylinders to experience temperature variation and significant thermal input during service. The maximum failure pressure that the cylinder can sustain is affected due to the dependence of composite material properties on temperature and complexity of cylinder design. Most of the analysis reported for high-pressure composite cylinders is based on simplifying assumptions and does not account for complexities like thermo-mechanical behavior and temperature dependent material properties. In the present work, a comprehensive finite element simulation tool for the design of hydrogen storage cylinder system is developed. The structural response of the cylinder is analyzed using laminated shell theory accounting for transverse shear deformation and geometric nonlinearity. A composite failure model is used to evaluate the failure pressure under various thermo-mechanical loadings. A back-propagation neural network (NNk) model is developed to predict the maximum failure pressure using the analysis results. The failure pressures predicted from NNk model are compared with those from test cases. The developed NNk model is capable of predicting the failure pressure for any given loading condition.
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