Memory impacts on skin tissue responses exposed to harmonic heat during thermal therapy

IF 2.2 3区 工程技术 Q2 MECHANICS
Rakhi Tiwari, Ahmed E. Abouelregal, Kiran Kumari, Pappu Kumar
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引用次数: 0

Abstract

The present article contributes a new novel mathematical model influenced with the memory effect that endeavours to record the thermal responses inside a living tissue exposed to an oscillatory heat input on its outer surface. Heat transport inside the tissue is modelled with the hyperbolic equation involving three relaxation times. Analytical solutions of the significant field quantities—temperature, displacement and thermal stress are determined in the frequency domain by adopting the Laplace transform mechanism. Computational results are derived by inverting the field quantities from frequency domain to the physical domain. Memory influences are forecasted on the propagation of the thermo-mechanical waves inside the tissue by obtaining the influences of the kernel functions and time-delay quantity on the physical fields. Impact of the relaxation times is pronounced on the variances of the waves’ constituents. Graphical outcomes speculate that inclusion of the phase lags in heat transfer model supresses and stabilizes the speed of the waves. This study may support to the medical practitioners during thermal therapy and to develop the precised clinical equipment.

Abstract Image

记忆对热疗过程中接触谐波热的皮肤组织反应的影响
本文提出了一种受记忆效应影响的新型数学模型,该模型致力于记录暴露在振荡热输入外表面的活体组织内部的热反应。组织内部的热传输用涉及三个弛豫时间的双曲线方程建模。通过采用拉普拉斯变换机制,在频域内确定了重要场量(温度、位移和热应力)的解析解。通过将场量从频域反演到物理域,得出了计算结果。通过获得核函数和时间延迟量对物理场的影响,预测了记忆对热机械波在组织内部传播的影响。弛豫时间对波的成分方差有明显的影响。图形结果表明,在传热模型中加入相位滞后可以抑制和稳定波的速度。这项研究可为热疗过程中的医疗从业人员提供支持,并有助于开发精确的临床设备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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