Estimations of a 2D convection heat transfer coefficient during a metallurgical “Jominy end-quench” test: comparison between two methods and experimental validation

Parallelized Particle Swarm Optimization to Estimate the Heat Transfer Coefficients of a Series of Vegetable Oils in Comparison with Typical Fast Petroleum Quench Oil Quenchant

“…Numerous estimation problems have been solved by the gradient-based method due to its high computational efficiency. For example, the conjugate gradient method (CGM) was employed to solve the inverse heat transfer problems for retrieving the Heat Transfer Coefficients and temperature distribution during continuous water cooling of a Jominy bar by Masson et al [32] Ren et al [33] studied the inverse estimation of radiative properties and temperature distribution of media through the Levenberg-Marquardt (L-M) method, respectively. Good agreements between measured and estimated measurement signals were obtained.…”

Parallelized Particle Swarm Optimization to Estimate the Heat Transfer Coefficients of Palm Oil, Canola Oil, Conventional, and Accelerated Petroleum Oil Quenchants

“…Numerous estimation problems have been solved by the gradient-based method because of its high computational efficiency. For example, the conjugate gradient method was employed to solve the inverse heat transfer problems to retrieve the HTCs and temperature distribution during continuous water cooling of a Jominy bar by Masson, Loulou, and Artioukhine [33]. Ren et al [34] studied the inverse estimation of radiative properties and temperature distribution of media through the Levenberg-Marquardt method, respectively.…”

Experimental Design and Methodology for Estimation of Local Heat Transfer Coefficient in Jet Impingement Using Transient Inverse Heat Conduction Problem

“…Estimation begins with the calculation of Tj qD0 using the direct problem and subsequent application of Eq. (15). Then m is increased by one, Tj qD0 is recalculated, and the estimator equation is used again.…”

“…Another method that has been widely used is the conjugate gradient method (see, e.g., [14]), which belongs to the class of iterative regularization techniques. Masson et al [15] applied the iterative regularization and function specification methods (FSMs) with a spatial regularization to estimate the twodimensional heat transfer coefficient. In an instructive paper, Beck et al [16] compared the FSM, Tikhonov's regularization, and iterative regularization using experimental data.…”