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Article

Determining Thermophysical Parameters of Cryopreserved Articular Cartilage Using Evolutionary Algorithms and Experimental Data

Department of Computational Mechanics and Engineering, Silesian University of Technology, Konarskiego 18A, 44-100 Gliwice, Poland
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Materials 2024, 17(23), 5703; https://doi.org/10.3390/ma17235703
Submission received: 15 October 2024 / Revised: 17 November 2024 / Accepted: 18 November 2024 / Published: 21 November 2024
(This article belongs to the Section Materials Simulation and Design)

Abstract

Cryopreservation is the process of freezing and storing biological cells and tissues with the purpose of preserving their essential physiological properties after re-warming. The process is applied primarily in medicine in the cryopreservation of cells and tissues, for example stem cells, or articular cartilage. The cryopreservation of articular cartilage has a crucial clinical application because that tissue can be used for reconstruction and repair of damaged joints. This article concerns the identification of the thermophysical parameters of cryopreserved articular cartilage. Initially, the direct problem was formulated in which heat and mass transfer were analyzed by applying the finite difference method. After that, at the stage of inverse problem investigations, an evolutionary algorithm coupled with the finite difference method was used. The identification of the thermophysical parameters was carried out on the basis of experimental data on the concentration of the cryoprotectant. In the last part, this article presents the results of numerical analysis for both the direct and inverse problems. Comparing the results for the direct problem, in which the thermophysical parameters are taken from the literature, with the experimental data, we obtained a relative error between 0.06% and 15.83%. After solving the inverse problem, modified values for the thermophysical parameters were proposed.
Keywords: bioheat and mass transfer; cryopreservation; evolutionary algorithm; inverse problem; liquidus tracking method; numerical methods bioheat and mass transfer; cryopreservation; evolutionary algorithm; inverse problem; liquidus tracking method; numerical methods

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MDPI and ACS Style

Piasecka-Belkhayat, A.; Skorupa, A.; Paruch, M. Determining Thermophysical Parameters of Cryopreserved Articular Cartilage Using Evolutionary Algorithms and Experimental Data. Materials 2024, 17, 5703. https://doi.org/10.3390/ma17235703

AMA Style

Piasecka-Belkhayat A, Skorupa A, Paruch M. Determining Thermophysical Parameters of Cryopreserved Articular Cartilage Using Evolutionary Algorithms and Experimental Data. Materials. 2024; 17(23):5703. https://doi.org/10.3390/ma17235703

Chicago/Turabian Style

Piasecka-Belkhayat, Alicja, Anna Skorupa, and Marek Paruch. 2024. "Determining Thermophysical Parameters of Cryopreserved Articular Cartilage Using Evolutionary Algorithms and Experimental Data" Materials 17, no. 23: 5703. https://doi.org/10.3390/ma17235703

APA Style

Piasecka-Belkhayat, A., Skorupa, A., & Paruch, M. (2024). Determining Thermophysical Parameters of Cryopreserved Articular Cartilage Using Evolutionary Algorithms and Experimental Data. Materials, 17(23), 5703. https://doi.org/10.3390/ma17235703

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