2008
DOI: 10.1088/1742-6596/135/1/012003
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An inverse method for non linear ablative thermics with experimentation of automatic differentiation

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Cited by 4 publications
(4 citation statements)
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“…The temperature data can also be obtained by embedding TCs within the ablative material at specified distances from the surface [19]. Identification of the heat flux of ARD [20,21] and MSL [22][23][24] was carried out by solving the inverse ablation problem based on measurements of the in-depth temperature of a sensing slug and the TPS ablation model. There was almost no temperature distribution mismatch, because the slugs were made of TPS materials.…”
Section: Long-duration Heat Load Measurement Approach By Novel Appara...mentioning
confidence: 99%
See 1 more Smart Citation
“…The temperature data can also be obtained by embedding TCs within the ablative material at specified distances from the surface [19]. Identification of the heat flux of ARD [20,21] and MSL [22][23][24] was carried out by solving the inverse ablation problem based on measurements of the in-depth temperature of a sensing slug and the TPS ablation model. There was almost no temperature distribution mismatch, because the slugs were made of TPS materials.…”
Section: Long-duration Heat Load Measurement Approach By Novel Appara...mentioning
confidence: 99%
“…Since the linear operators were proposed for surface/ internal temperature identification, the IHCP problems can be solved with extremely high efficiency. Then by substituting equation (21) into equation (20), we obtain…”
Section: The Scheme For Surface Heat Flux Identificationmentioning
confidence: 99%
“…The global methods involve minimization of the global objective function (index þ regularization term) with respect to the unknown parameters or functions. The minimization is performed with the computation of the adjoint system and sensitivity functions [6][7][8]. However, the introduction of the adjoint system increases the complexity of the resolution because the adjoint system has the same dimension as the direct problem and solving the adjoint system requires integration from the final time to the initial time.…”
Section: Introductionmentioning
confidence: 99%
“…However, the introduction of the adjoint system increases the complexity of the resolution because the adjoint system has the same dimension as the direct problem and solving the adjoint system requires integration from the final time to the initial time. To simplify the computation of the adjoint and gradient, Alestra et al [8] consider analytical manual differentiation and automatic differentiation tools. Furthermore when the thermal process is combined with a fluid dynamic process, it is necessary to introduce the momentum equations which again increases the complexity of the mathematical formulation and the resolution method.…”
Section: Introductionmentioning
confidence: 99%