Assessing the impact of ramp-type heating on 1D skin tissue behavior with the Moore–Gibson–Thompson heat transfer model

IF 2.5 3区 工程技术 Q2 MECHANICS
Debarghya Bhattacharya, Mridula Kanoria
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引用次数: 0

Abstract

The present study investigates the thermal and elastic responses of skin tissue using a modified Moore–Gibson–Thompson thermal conduction model, incorporating multiple time derivatives. We consider a thin skin tissue layer, modeled as a one-dimensional system with clamped mechanical edges, subjected to ramp-type thermal loading on the outer surface. Additionally, no heat transfer occurred at inner surface. The Laplace transform technique and its numerical reversal are implemented to find analytical–numerical solutions involving thermophysical fields, such as dimensionless temperature, displacement, dilatation, and stress. The study employs the Moore–Gibson–Thompson (MGT) bioheat conduction model to predict temperature distributions in skin tissue. Our findings offer significant insights into skin tissue’s thermal behavior under specific conditions, providing a richer understanding of its thermal response and advancing knowledge in the field.

Abstract Image

用Moore-Gibson-Thompson传热模型评估斜坡式加热对一维皮肤组织行为的影响
本研究使用改进的Moore-Gibson-Thompson热传导模型,结合多时间导数,研究皮肤组织的热和弹性响应。我们考虑一个薄的皮肤组织层,建模为具有夹紧机械边缘的一维系统,在外表面受到坡道型热载荷。此外,内表面没有发生热传递。利用拉普拉斯变换技术及其数值反演,找到了涉及无量纲温度、位移、膨胀和应力等热物理场的解析-数值解。该研究采用Moore-Gibson-Thompson (MGT)生物热传导模型来预测皮肤组织中的温度分布。我们的发现为特定条件下皮肤组织的热行为提供了重要的见解,提供了对其热反应的更丰富的理解,并推进了该领域的知识。
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来源期刊
CiteScore
4.40
自引率
10.70%
发文量
234
审稿时长
4-8 weeks
期刊介绍: Archive of Applied Mechanics serves as a platform to communicate original research of scholarly value in all branches of theoretical and applied mechanics, i.e., in solid and fluid mechanics, dynamics and vibrations. It focuses on continuum mechanics in general, structural mechanics, biomechanics, micro- and nano-mechanics as well as hydrodynamics. In particular, the following topics are emphasised: thermodynamics of materials, material modeling, multi-physics, mechanical properties of materials, homogenisation, phase transitions, fracture and damage mechanics, vibration, wave propagation experimental mechanics as well as machine learning techniques in the context of applied mechanics.
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