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利用进化算法和实验数据确定冷冻保存关节软骨的热物理参数

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

作者信息

Piasecka-Belkhayat Alicja, Skorupa Anna, Paruch Marek

机构信息

Department of Computational Mechanics and Engineering, Silesian University of Technology, Konarskiego 18A, 44-100 Gliwice, Poland.

出版信息

Materials (Basel). 2024 Nov 21;17(23):5703. doi: 10.3390/ma17235703.

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.

摘要

冷冻保存是将生物细胞和组织进行冷冻并储存的过程,目的是在复温后保留其基本生理特性。该过程主要应用于医学领域,用于细胞和组织的冷冻保存,例如干细胞或关节软骨。关节软骨的冷冻保存具有关键的临床应用价值,因为该组织可用于受损关节的重建和修复。本文关注冷冻保存的关节软骨热物理参数的识别。首先,提出了直接问题,通过应用有限差分法分析热质传递。之后,在反问题研究阶段,使用了一种与有限差分法相结合的进化算法。热物理参数的识别是基于冷冻保护剂浓度的实验数据进行的。在最后一部分,本文给出了直接问题和反问题的数值分析结果。将热物理参数取自文献的直接问题结果与实验数据进行比较,我们得到的相对误差在0.06%至15.83%之间。在解决反问题后,提出了热物理参数的修正值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfeb/11642555/cbcb51d109f1/materials-17-05703-g004.jpg

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