Kumar, V., Dixit, U.S., Zhang, J.: Determination of thermal conductivity, absorptivity and heat transfer coefficient during laser-based manufacturing. Kant, R., Joshi, S.N., Dixit, U.S.: An integrated FEM-ANN model for laser bending process with inverse estimation of absorptivity. Sun, S.C., Qi, H., Yu, X.Y., Ren, Y.T., Ruan, L.M.: Inverse identification of temperature-dependent thermal properties using improved Krill Herd algorithm. 163, 106853 (2021)Ĭui, M., Li, N., Liu, Y., Gao, X.: Robust inverse approach for two-dimensional transient nonlinear heat conduction problems. Sun, S.: Simultaneous reconstruction of thermal boundary condition and physical properties of participating medium. Mishra, A., Dixit, U.S.: Determination of thermal diffusivity of the material, absorptivity of the material and laser beam radius during laser forming by inverse heat transfer. Zhang, J., Bi, J., Chen, G.: Inverse estimation of the material parameters at metal surface irradiated by laser pulse. CRC Press, New York (2000)Ĭolaço, M.J., Orlande, H.R., Dulikravich, G.S.: Inverse and optimization problems in heat transfer. Ozisik, M.N.: Inverse Heat Transfer: Fundamentals and Applications. Lian, T.W., Kondo, A., Akoshima, M., Abe, H., Ohmura, T., Tuan, W.H., Naito, M.: Rapid thermal conductivity measurement of porous thermal insulation material by laser flash method. Gustafsson, S.E.: Transient plane source techniques for thermal conductivity and thermal diffusivity measurements of solid materials. Roder, H.M.: A transient hot wire thermal conductivity apparatus for fluids. Nath, U., Yadav, V.: Analytical modeling of temperature evolution and bend angle in laser forming of Al 6061–T6 sheets and its experimental analysis. Peng, Q.: An analytical solution for a transient temperature field during laser heating a finite slab. Kyrsanidi, A.K., Kermanidis, T.B., Pantelakis, S.G.: An analytical model for the prediction of distortions caused by the laser forming process. 8(2), 1803–1815 (2022)Ĭheng, P.J., Lin, S.C.: An analytical model for the temperature field in the laser forming of sheet metal. Nath, U., Yadav, V., Purohit, R.: Finite element analysis of AM30 magnesium alloy sheet in the laser bending process. 23, 135–148 (2016)įetene, B.N., Kumar, V., Dixit, U.S., Echempati, R.: Numerical and experimental study on multi-pass laser bending of AH36 steel strips. Kant, R., Joshi, S.N.: Thermo-mechanical studies on bending mechanism, bend angle and edge effect during multi-scan laser bending of magnesium M1A alloy sheets. 30(1), 85–108 (1985)Ĭhen, G.: Analytical solutions for temperature and thermal-stress modeling of solid material induced by repetitive pulse laser irradiation. 155, 1855–1860 (2004)Ĭao, X.J., Jahazi, M., Immarigeon, J.P., Wallace, W.: A review of laser welding techniques for magnesium alloys. Kennedy, E., Byrne, G., Collins, D.N.: A review of the use of high power diode lasers in surface hardening. The suggested heuristic inverse method has the potential for the fast computation of parameters for a desired laser heating temperature without needing arduous experiments and unproductive finite element method (FEM) analysis.ĭubey, A.K., Yadava, V.: Laser beam machining-A review. The results show that the inversely recovered parameters are sufficiently accurate in calculating the surface temperature at different process conditions. The accuracy of the inverse method is assessed by simulated experimental temperatures considering temperature-dependent properties in the forward model. Two different examples of a heating process on aluminium alloy (Al 6061-T6) are considered to demonstrate the efficacy of the inverse method. The proposed inverse method tries to change the unknown parameters in each step till the predicted temperature close to the recorded temperature. The forward model comprises of a proper analytical modelling considering three-dimensional heat conduction equation with coupled conduction–convection boundary conditions. A fast forward model, which can predict the temperature evolution during laser heating is built as the foundation of the inverse model. In this work, a heuristic inverse method for simultaneous estimation of thermal conductivity, specific heat, density and absorptivity in a laser-irradiated sheet is proposed.
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