Analysis of magnetic fluid heat transfer in biological tissues subjected to a semi-infinite region by artificial boundary method

Bao, Chunxu; Liu, Lin; Zhu, Jing; Feng, Libo; Xie, Chiyu

doi:10.1016/j.ijheatmasstransfer.2024.125668

International Journal of Heat and Mass Transfer

2024

DOI: 10.1016/j.ijheatmasstransfer.2024.125668

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Analysis of magnetic fluid heat transfer in biological tissues subjected to a semi-infinite region by artificial boundary method

Chunxu Bao,

Lin Liu,

Jing Zhu

et al.

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2024

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Cited by 2 publications

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“…With the rapid development of engineering thermophysics, researches on human biological heat transfer phenomena has gradually shifted from qualitative to quantitative 1 , 2 . The noninvasive reconstruction of 3D temperature field in biological tissue is very valuable for the further development of biomedical engineering field 3 , 4 .…”

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confidence: 99%

Noninvasive reconstruction of internal heat source in biological tissue using adaptive simulated annealing algorithm

Ye,

Shi,

et al. 2024

Sci Rep

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The heat distribution information of human lesions is of great value for disease analysis, diagnosis, and treatment. It is a typical inverse problem of heat conduction that deriving the distribution of internal heat sources from the temperature distribution on the body surface. This paper transforms such an inverse problem of bio-heat transfer into a direct one, thereby avoiding complex boundary conditions and regularization processes. To noninvasively reconstruct the internal heat source and its corresponding 3D temperature field in biological tissue, the adaptive simulated annealing (ASA) algorithm is used in the simulation module, where the position P(x, y, z) of point heat source in biological tissue and its corresponding temperature T are set as the optimization variables. Under a certain optimized sample, one can obtain the simulated temperature distributing on the surface of the module, then subtract the simulated temperature from the measured temperature of the same surface which was measured using a thermal infrared imager. If the sum of absolute values of the difference is smaller, it indicates that the current sample is closer to the true location and temperature of the heat source. When the values of optimization variables are determined, the corresponding 3D temperature field is also confirmed. The simulation results show the simulated position and temperature of the heat source are very approximate with those of the real experimental module. The method presented in this paper has enormous potential and promising prospects in clinical research and application, such as tumor hyperthermia, disease thermal diagnosis technology, etc.

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confidence: 99%

Noninvasive reconstruction of internal heat source in biological tissue using adaptive simulated annealing algorithm

Ye,

Shi,

et al. 2024

Sci Rep

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Revealing the dynamics of stagnant rings of third-grade fluid film with heat transfer in the presence of surface tension

Alaidrous,

Siddiqa,

Ashraf

2024

Physics of Fluids

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In many engineering applications, including coating and lubrication operations, analyzing the temperature behavior of thin film flows on a vertically upward-moving tube is crucial to improving predictive models. This paper examines a steady third-grade fluid film flow with a surface tension gradient on a vertical tube. The mechanisms responsible for the fluid motion are upward tube motion, gravity, and surface tension gradient. This analysis focuses on heat transfer and stagnant ring dynamics. The formulated highly nonlinear ordinary differential equations are solved using the Adomian decomposition method. The conditions for stagnant rings and uniform film thickness are attained and discussed. The inverse capillary number C, Stokes number St, Deborah number De, and Brinkman number Br emerged as flow control parameters. The temperature of the fluid film rises with an increase in the C, St, De, and Br, whereas it decreases with an increase in thermal diffusion rate. The radius of stagnant rings tends to shrink by the increase in C, St, and De. When the value of De is high, third-grade fluid behaves like solids; only free drainage happens with smaller radius stagnant rings and high temperatures. A comparison between Newtonian and third-grade fluids regarding surface tension, velocity, temperature, stationary rings, and fluid film thickness is also provided.

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Analysis of magnetic fluid heat transfer in biological tissues subjected to a semi-infinite region by artificial boundary method

Cited by 2 publications

References 40 publications

Noninvasive reconstruction of internal heat source in biological tissue using adaptive simulated annealing algorithm

Noninvasive reconstruction of internal heat source in biological tissue using adaptive simulated annealing algorithm

Revealing the dynamics of stagnant rings of third-grade fluid film with heat transfer in the presence of surface tension

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