Journal articles: 'Bio-heat transfer'

1

Nyborg, W. L. "Solutions of the bio-heat transfer equation." Physics in Medicine and Biology 33, no. 7 (July 1, 1988): 785–92. http://dx.doi.org/10.1088/0031-9155/33/7/002.

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2

Hagiwara, Yoshimichi. "A21 Bio-mimetic Control of Heat Transfer." Proceedings of the Thermal Engineering Conference 2007 (2007): 57–60. http://dx.doi.org/10.1299/jsmeted.2007.57.

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3

Narasimhan, Arunn, and Kaushal Kumar Jha. "Bio-heat transfer simulation of retinal laser irradiation." International Journal for Numerical Methods in Biomedical Engineering 28, no. 5 (January 27, 2012): 547–59. http://dx.doi.org/10.1002/cnm.1489.

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4

Nyborg, W. L., and Junru Wu. "Solution of the linear bio-heat transfer equation." Physics in Medicine and Biology 39, no. 5 (May 1, 1994): 924–26. http://dx.doi.org/10.1088/0031-9155/39/5/012.

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5

HOCHMUTH, REINHARD, and PETER DEUFLHARD. "MULTISCALE ANALYSIS FOR THE BIO-HEAT TRANSFER EQUATION — THE NONISOLATED CASE." Mathematical Models and Methods in Applied Sciences 14, no. 11 (November 2004): 1621–34. http://dx.doi.org/10.1142/s0218202504003775.

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The bio-heat transfer equation is a macroscopic model for describing the heat transfer in microvascular tissue. In Ref. 8 the authors applied homogenization techniques to derive the bio-heat transfer equation as asymptotic result of boundary value problems which provide a microscopic description for microvascular tissue. Here those results are generalized to a geometrical setting where the regions of blood are allowed to be connected, which covers more biologically relevant geometries. Moreover, asymptotic corrector results are derived under weaker assumptions.

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6

Consiglieri, Luisa. "An Analytical Solution for a Bio-heat Transfer Problem." International Journal of Bio-Science and Bio-Technology 5, no. 5 (October 31, 2013): 267–78. http://dx.doi.org/10.14257/ijbsbt.2013.5.5.26.

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7

Li, Zheng, Xianchen Xu, Kuojiang Li, Yangyang Chen, Zhaoqing Ke, Sheng Wang, Hsiu-Hung Chen, Guoliang Huang, Chung-Lung Chen, and Chien-Hua Chen. "Bio-inspired self-agitator for convective heat transfer enhancement." Applied Physics Letters 113, no. 11 (September 10, 2018): 113703. http://dx.doi.org/10.1063/1.5046502.

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8

Huang, H. W., C. L. Chan, and R. B. Roemer. "Analytical Solutions of Pennes Bio-Heat Transfer Equation With a Blood Vessel." Journal of Biomechanical Engineering 116, no. 2 (May 1, 1994): 208–12. http://dx.doi.org/10.1115/1.2895721.

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The heat transfer within a perfused tissue in the presence of a vessel is considered. The bio-heat transfer equation is used for the perfused tissue and a lumped capacitance analysis is used for the convection in the vessel with a constant Nusselt number. Analytical solutions are obtained for two cases: (i) the arterial temperature of the perfused blood in the bio-heat transfer equation is equal to the axially varying mixed mean temperature of the blood in the vessel and, (ii) that arterial temperature is assumed to be constant. Dimensionless equilibrium length and temperature expressions are obtained and presented.

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9

Zou, Hui Fen, Ying Chao Fei, and Min Yu. "Brief Analysis of the Heat and Mass Balance in Sludge Bio-Drying Process." Advanced Materials Research 518-523 (May 2012): 34–38. http://dx.doi.org/10.4028/www.scientific.net/amr.518-523.34.

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Bio-drying is an important method to reduce the excess sludge which use the inner biomass of sludge itself to generate heat for a water discharging has a broad prospects in sludge treatment. However, our research in this field is still very limited. In order to better mastering and promoting sludge bio-drying technology, this paper summarized the advantages of bio-drying, initially described the microbial mechanism of spontaneous heat generation and the heat and mass transfer phenomena in a bio-drying process, then build a macro heat conservation formula based on material conservation.

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10

Park, Hoon Chae, Hang Seok Choi, and Ji Eun Lee. "Heat transfer of bio-oil in a direct contact heat exchanger during condensation." Korean Journal of Chemical Engineering 33, no. 4 (February 4, 2016): 1159–69. http://dx.doi.org/10.1007/s11814-015-0256-y.

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11

Kumar, Ajay, Sushil Kumar, V. K. Katiyar, and Shirley Telles. "Dual phase lag bio-heat transfer during cryosurgery of lung cancer: Comparison of three heat transfer models." Journal of Thermal Biology 69 (October 2017): 228–37. http://dx.doi.org/10.1016/j.jtherbio.2017.08.005.

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12

Cheng, Po-Jen, and Kuo-Chi Liu. "Numerical Analysis of Bio-Heat Transfer in a Spherical Tissue." Journal of Applied Sciences 9, no. 5 (February 15, 2009): 962–67. http://dx.doi.org/10.3923/jas.2009.962.967.

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13

Jou, Rong Yuan. "Heat and Mass Transfer Measurements for Bio-Substrate Drying Processes." Applied Mechanics and Materials 365-366 (August 2013): 595–601. http://dx.doi.org/10.4028/www.scientific.net/amm.365-366.595.

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The complex process of heat and mass transfer in bio-substrates during convection, vacuum, and thermohygrostat drying was studied. Changes in temperature and moisture content at the center of the wet material were measured before and after the experiment in order to calculate the drying rate (%/h). In the case of convection drying, the inverter frequency within the wind tunnel was set at 10, 20, and 30 Hz (velocities of 2.2, 4, and 6 m/s, respectively). Measurements were then made at 10 and 20 Hz, with temperatures at 50 and 60°C. In the case of vacuum drying, the chamber pressure was set at 0.4, 4.2, and 92 Torr. The thermohygrostat was set at 50°C with humidity levels at 30, 40, and 50%. In conclusion, thermohygrostat is more effective because of the controlled environment, and that drying rate is increased with lower wind velocities and chamber pressures for convection and vacuum drying respectively.

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14

De Bonis, Maria Valeria, Maria Cefola, Bernardo Pace, and Gianpaolo Ruocco. "Mass and heat transfer modeling of bio-substrates during packaging." Heat and Mass Transfer 49, no. 6 (March 2, 2013): 799–808. http://dx.doi.org/10.1007/s00231-013-1122-2.

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15

Liu, Kuo Chi, Cheng Chi Wang, and Po Jen Cheng. "Analysis of Non-Fourier Thermal Behavior in Layered Tissue with Pulse Train Heating." Applied Mechanics and Materials 479-480 (December 2013): 496–500. http://dx.doi.org/10.4028/www.scientific.net/amm.479-480.496.

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This paper investigates the thermal behavior in laser-irradiated layered tissue, which was stratified into skin, fat, and muscle. A modified nonFourier equation of bio-heat transfer was developed based on the second-order Taylor expansion of dual-phase lag model. This equation is a fourth order partial differential equation and can be simplified as the bio-heat transfer equations derived from Pennes model, thermal wave model, and the linearized form of dual-phase lag model. The boundary conditions at the interface between two adjacent layers become complicated. There are mathematical difficulties in dealing with such a problem. A hybrid numerical scheme is extended to solve the present problem. The deviations of the results from the bio-heat transfer equations based on Pennes model, thermal wave model and dual-phase lag model are presented and discussed.

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16

Ziaei, Poor, Hassan Moosavi, and Amir Moradi. "Analysis of the dual phase lag bio-heat transfer equation with constant and time-dependent heat flux conditions on skin surface." Thermal Science 20, no. 5 (2016): 1457–72. http://dx.doi.org/10.2298/tsci140128057z.

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This article focuses on temperature response of skin tissue due to time-dependent surface heat fluxes. Analytical solution is constructed for DPL bio-heat transfer equation with constant, periodic and pulse train heat flux conditions on skin surface. Separation of variables and Duhamel?s theorem for a skin tissue as a finite domain are employed. The transient temperature responses for constant and time-dependent boundary conditions are obtained and discussed. The results show that there is major discrepancy between the predicted temperature of parabolic (Pennes bio-heat transfer), hyperbolic (thermal wave) and DPL bio-heat transfer models when high heat flux accidents on the skin surface with a short duration or propagation speed of thermal wave is finite. The results illustrate that the DPL model reduces to the hyperbolic model when ?T approaches zero and the classic Fourier model when both thermal relaxations approach zero. However for ?q = ?T the DPL model anticipates different temperature distribution with that predicted by the Pennes model. Such discrepancy is due to the blood perfusion term in energy equation. It is in contrast to results from the literature for pure conduction material, where the DPL model approaches the Fourier heat conduction model when ?q = ?T . The burn injury is also investigated.

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17

Chiu, Han-Chieh, Ren-Horn Hsieh, Yu-Jen Chiu, Jer-Huan Jang, and Wei-Chen Lin. "Experimental study on the heat transfer of heat sink with bio-mimetic oscillating foil." International Communications in Heat and Mass Transfer 68 (November 2015): 130–36. http://dx.doi.org/10.1016/j.icheatmasstransfer.2015.08.016.

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18

Luitel, Kabita, Dil Bahadur Gurung, Harihar Khanal, and Kedar Nath Uprety. "Numerical Study of Transient Bio-Heat Transfer Model With Heat Transfer Coefficient and Conduction Effect in Cylindrical Living Tissue." Nepali Mathematical Sciences Report 36, no. 1-2 (December 31, 2019): 17–26. http://dx.doi.org/10.3126/nmsr.v36i1-2.29967.

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The human thermal comfort is affected by the body’s heat exchange mechanism conduction, convection, radiation, and evaporation. The mode of heat transfer between the body and environment depends upon the human internal physiological phenomena, together with the boundary conditions. The present paper provides the comprehensive overview of the thermoregulatory system of human body and studies the numerical solution of unsteady-state one dimensional Pennes bio-heat equation with appropriate boundary conditions. The solution is used to observe the temperature profiles at different thermal conductivities, and different heat transfer coefficients in the living tissue at the various time steps. Various physical and physiological factors across the cylindrical living tissue have been incorporated in the model.

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19

Naganthran, Kohilavani, Md Faisal Md Basir, Sayer Obaid Alharbi, Roslinda Nazar, Anas M. Alwatban, and Iskander Tlili. "Stagnation Point Flow with Time-Dependent Bionanofluid Past a Sheet: Richardson Extrapolation Technique." Processes 7, no. 10 (October 11, 2019): 722. http://dx.doi.org/10.3390/pr7100722.

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The study of laminar flow of heat and mass transfer over a moving surface in bionanofluid is of considerable interest because of its importance for industrial and technological processes such as fabrication of bio-nano materials and thermally enhanced media for bio-inspired fuel cells. Hence, the present work deals with the unsteady bionanofluid flow, heat and mass transfer past an impermeable stretching/shrinking sheet. The appropriate similarity solutions transform the boundary layer equations with three independent variables to a system of ordinary differential equations with one independent variable. The finite difference coupled with the Richardson extrapolation technique in the Maple software solves the reduced system, numerically. The rate of heat transfer is found to be higher when the flow is decelerated past a stretching sheet. It is understood that the state of shrinking sheet limits the rate of heat transfer and the density of the motile microorganisms in the stagnation region.

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20

Yang, Ching-yu. "Boundary estimation of hyperbolic bio-heat conduction." International Journal of Heat and Mass Transfer 54, no. 11-12 (May 2011): 2506–13. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2011.02.011.

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21

Zhang, Huijie, Zequan Li, Haixia Xu, Xinqian Guo, Huiling Wu, and Junyi Sun. "Coupled Analysis of Leachate Recirculation and Heat Transfer for a Landfill with Buried Waste Tyres." Open Civil Engineering Journal 12, no. 1 (October 17, 2018): 290–300. http://dx.doi.org/10.2174/1874149501812010290.

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Background:In bio-reactor landfills, both moisture and temperature have a significant impact on the bio-degradation processes. In order to speed up the leachate recirculation, a new drainage system is proposed to build a space network of bonded whole waste tyres in landfills.Objective:In this study, a coupled dual-permeability flow and the heat transfer model was constructed to study the interaction between leachate migration and temperature evolution.Results and Conclusion:The established model was applied to a simplified bio-reactor landfill and the simulation results demonstrated that the presence of waste tyres could significantly speed up the heat transfer. And the intermittent injection and the varying injection pressure might affect the distribution of temperature as well. Additionally, cooling the leachate injected could be another measure in avoiding the occurrence of hot spots in landfills.

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22

Kai, Zhu, He Jian, Wang Zhaolu, Wei Fan, Zhang Meng, and Kang Liyuan. "Experimental research and numerical calculation of bio-heat transfer in tongue." Journal of Thermal Biology 29, no. 6 (August 2004): 271–76. http://dx.doi.org/10.1016/j.jtherbio.2004.05.002.

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23

Kumar, Dinesh, P. Kumar, and K. N. Rai. "Numerical Study on non-Fourier Bio heat Transfer During Thermal Ablation." Procedia Engineering 127 (2015): 1300–1307. http://dx.doi.org/10.1016/j.proeng.2015.11.487.

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24

Tunç, Murat, Ünal Çamdali, Cem Parmaksizoğlu, and Sermet Çikrikçi. "The bio‐heat transfer equation and its applications in hyperthermia treatments." Engineering Computations 23, no. 4 (June 2006): 451–63. http://dx.doi.org/10.1108/02644400610661190.

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25

Elwassif, Maged M., Qingjun Kong, Maribel Vazquez, and Marom Bikson. "Bio-heat transfer model of deep brain stimulation-induced temperature changes." Journal of Neural Engineering 3, no. 4 (November 6, 2006): 306–15. http://dx.doi.org/10.1088/1741-2560/3/4/008.

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26

Li, YuanYuan, and RuiXian Cai. "Unsteady 3D algebraically explicit analytical solutions for bio-heat transfer equations." Science China Technological Sciences 54, no. 2 (February 2011): 362–68. http://dx.doi.org/10.1007/s11431-010-4203-1.

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27

Liu, Kuo-Chi, and Han-Taw Chen. "Investigation for the dual phase lag behavior of bio-heat transfer." International Journal of Thermal Sciences 49, no. 7 (July 2010): 1138–46. http://dx.doi.org/10.1016/j.ijthermalsci.2010.02.007.

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28

Jaunich, Megan, Shreya Raje, Kyunghan Kim, Kunal Mitra, and Zhixiong Guo. "Bio-heat transfer analysis during short pulse laser irradiation of tissues." International Journal of Heat and Mass Transfer 51, no. 23-24 (November 2008): 5511–21. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2008.04.033.

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29

Sadaf, H. "Bio-fluid flow analysis based on heat transfer and variable viscosity." Applied Mathematics and Mechanics 40, no. 7 (June 1, 2019): 1029–40. http://dx.doi.org/10.1007/s10483-019-2499-8.

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30

Ol’shanskii, A. I., S. V. Zhernosek, and A. M. Gusarov. "Calculation of the kinetics of heat transfer using the experimental data of moisture exchange in the process of convective drying of thin flat materiаls." Proceedings of the National Academy of Sciences of Belarus, Physical-Technical Series 63, no. 3 (November 1, 2018): 333–41. http://dx.doi.org/10.29235/1561-8358-2018-63-3-333-341.

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In the paper, the authors analyzed the solution of the differential equation of non-stationary heat conduction for an unbounded plate during the heat exchange of plate surfaces with the surrounding medium according to Newton’s law at a constant temperature of the medium. To use the results of solving the equations in the drying of thin flat materials, the dependence of the heat transfer coefficients on temperature and moisture content was studied. As a result of studying and analyzing a number of literature sources, the regularities of the change in the heat transfer coefficients during drying are established with high reliability. Studies of drying of thin wet plates of white and red clays with known heat transfer coefficients have shown that for small values of the heat transfer criterion of the Bio and small temperature gradients over the section of a thin material, application of the results of solutions of the heat transfer equations gives completely satisfactory agreement between the calculated and experimental values of the temperatures and the duration of drying. It is established that for small Bio numbers, the main factor is the external heat and mass transfer of the surface of the material with the surrounding medium and the rate of drying depends little on internal mass transfer. It is shown that the use of numerical methods for solving differential equations is possible with varying degrees of approximation only for accurate and reliable dependences of heat and mass transfer coefficients on moisture content and temperature. For a number of materials with known heat transfer coefficients, the use of analytical methods in calculations is of considerable interest and brings the theory closer to the practice of drying.

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31

Raju, Chakravarthula S. K., and Naramgari Sandeep. "Dual Solutions for Unsteady Heat and Mass Transfer in Bio-Convection Flow towards a Rotating Cone/Plate in a Rotating Fluid." International Journal of Engineering Research in Africa 20 (October 2015): 161–76. http://dx.doi.org/10.4028/www.scientific.net/jera.20.161.

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A mathematical model has been proposed for analyzing the momentum, heat and mass transfer in Bio-convection flow towards a rotating cone/plate in a rotating fluid with nonlinear thermal radiation and chemical reaction. In this study we considered gyrotactic microorganism’s contained Williamson fluid. Numerical results are carried out by using Runge-Kutta based shooting technique. The effects of dimensionless governing parameters on the flow, heat and mass transfer are illustrated graphically. It is also computed the friction factors for the tangential and azimuthal directions, local Nusselt and Sherwood numbers along with the local density of the motile organisms. It has been observed a good agreement of the present results with the existed literature. The obtained results indicate that the heat and mass transfer rate is significantly increases for higher values of buoyancy parameter and Biot number. It is also found that the heat and mass transfer performance in Bio-convection flow is significantly high on the flow over a rotating plate while compared with the rotating cone.

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32

Zhang, Qiao, Yuxin Sun, and Jialing Yang. "Bio-heat transfer analysis based on fractional derivative and memory-dependent derivative heat conduction models." Case Studies in Thermal Engineering 27 (October 2021): 101211. http://dx.doi.org/10.1016/j.csite.2021.101211.

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33

Supramono, Dijan, Adithya Fernando Sitorus, and Mohammad Nasikin. "Synergistic Effect on the Non-Oxygenated Fraction of Bio-Oil in Thermal Co-Pyrolysis of Biomass and Polypropylene at Low Heating Rate." Processes 8, no. 1 (January 2, 2020): 57. http://dx.doi.org/10.3390/pr8010057.

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Biomass pyrolysis and polypropylene (PP) pyrolysis in a stirred tank reactor exhibited different heat transfer phenomena whereby heat transfer in biomass pyrolysis was driven predominantly by heat radiation and PP pyrolysis by heat convection. Therefore, co-pyrolysis could exhibit be expected to display various heat transfer phenomena depending on the feed composition. The objective of the present work was to determine how heat transfer, which was affected by feed composition, affected the yield and composition of the non-polar fraction. Analysis of heat transfer phenomena was based on the existence of two regimes in the previous research in which in regime 1 (the range of PP composition in the feeds is 0–40%), mass ejection from biomass particles occurred without biomass particle swelling, while in regime 2 (the range of PP composition in the feeds is 40–100%), mass ejection was preceded by biomass particle swelling. The co-pyrolysis was carried out in a stirred tank reactor with heating rate of 5 °C/min until 500 °C and using N2 gas as carrier gas. Temperature measurement was applied to pyrolysis fluid at the lower part of the reactor and small biomass spheres of 6 mm diameter to simulate heat transfer to biomass particles. The results indicate that in regime 1 convective and radiative heat transfers sparingly occurred and synergistic effect on the yield of non-oxygenated phase increased with increasing convective heat transfer at increasing %PP in feed. On the other hand, in regime 2, convective heat transfer was predominant with decreasing synergistic effect at increasing %PP in feed. The optimum PP composition in feed to reach maximum synergistic effect was 50%. Non-oxygenated phase portion in the reactor leading to the wax formation acted as donor of methyl and hydrogen radicals in the removal of oxygen to improve synergistic effect. Non-oxygenated fraction of bio-oil contained mostly methyl comprising about 53% by mole fraction, while commercial diesel contained mostly methylene comprising about 59% by mole fraction

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34

Asli, Mounir, Frank Brachelet, Alexis Chauchois, Emmanuel Antczak, and Didier Defer. "Numerical and experimental investigation of heat and mass transfer within bio-based material." Thermal Science 23, no. 1 (2019): 23–31. http://dx.doi.org/10.2298/tsci161019175a.

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In this paper, the coupled heat and mass transfer within porous media has been studies. First, the studied materials have been characterized experimentally and than evaluated their thermal properties, namely thermal conductivity and specific heat in different states (dry-wet). The hygroscopic properties, namely water vapour permeability, water vapour sorption. At second time, we present and validate the mathematical model describing heat and mass transfer within bio-based materials, by the confrontation with the experimental results. The materials properties obtained from the characterisation part are used as model?s input parameters. Moreover, a test facility is mounted in the laboratory in order to compare the numerical and experimental data. The founded results show a good concordance between the simulated and measured data. According to this results the mathematical model of Philip and de Vries gives a good prediction of hygrothermal behaviour of bio-based material. This model will allow us to save money and time of the experimental part in the future.

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35

Baish, J. W. "Formulation of a Statistical Model of Heat Transfer in Perfused Tissue." Journal of Biomechanical Engineering 116, no. 4 (November 1, 1994): 521–27. http://dx.doi.org/10.1115/1.2895804.

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A new model of steady-state heat transport in perfused tissue is presented. The key elements of the model are as follows: (1) a physiologically-based algorithm for simulating the geometry of a realistic vascular tree containing all thermally significant vessels in a tissue; (2) a means of solving the conjugate heat transfer problem of convection by the blood coupled to three-dimensional conduction in the extravascular tissue, and (3) a statistical interpretation of the calculated temperature field. This formulation is radically different from the widely used Pennes and Weinbaum-Jiji bio-heat transfer equations that predict a loosely defined local average tissue temperature from a local perfusion rate and a minimal representation of the vascular geometry. Instead, a probability density function for the tissue temperature is predicted, which carries information on the most probable temperature at a point and uncertainty in that temperature due to the proximity of thermally significant blood vessels. A sample implementation illustrates the dependence of the temperature distribution on the flow rate of the blood and the vascular geometry. The results show that the Pennes formulation of the bio-heat transfer equation accurately predicts the mean tissue temperature except when the arteries and veins are in closely spaced pairs. The model is useful for fundamental studies of tissue heat transport, and should extend readily to other forms of tissue transport including oxygen, nutrient, and drug transport.

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36

Xie, Zhihua, and Guodong Liu. "Blood perfusion construction for infrared face recognition based on bio-heat transfer." Bio-Medical Materials and Engineering 24, no. 6 (2014): 2733–42. http://dx.doi.org/10.3233/bme-141091.

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37

Milan, Hugo F. M., and Kifle G. Gebremedhin. "Triangular node for Transmission-Line Modeling (TLM) applied to bio-heat transfer." Journal of Thermal Biology 62 (December 2016): 116–22. http://dx.doi.org/10.1016/j.jtherbio.2016.07.003.

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38

Bagum, Mst Nasima. "Finite Element Analysis of One Dimensional Bio-Heat Transfer in Human Tissue." IOSR Journal of Engineering 03, no. 6 (June 2013): 43–49. http://dx.doi.org/10.9790/3021-03614349.

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39

Dey, Prasenjit, and Sandip Kr Saha. "Fluid flow and heat transfer in microchannel with porous bio-inspired roughness." International Journal of Thermal Sciences 161 (March 2021): 106729. http://dx.doi.org/10.1016/j.ijthermalsci.2020.106729.

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40

Milan, Hugo F. M., and Kifle G. Gebremedhin. "Tetrahedral node for Transmission-Line Modeling (TLM) applied to Bio-heat Transfer." Computers in Biology and Medicine 79 (December 2016): 243–49. http://dx.doi.org/10.1016/j.compbiomed.2016.10.023.

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41

Liu, Kuo-Chi, Yao-Nan Wang, and Yuen-Shin Chen. "Investigation on the bio-heat transfer with the dual-phase-lag effect." International Journal of Thermal Sciences 58 (August 2012): 29–35. http://dx.doi.org/10.1016/j.ijthermalsci.2012.02.026.

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42

Raja, Muhammad Asif Zahoor, Ammara Mehmood, Ateeq ur Rehman, Asifullah Khan, and Aneela Zameer. "Bio-inspired computational heuristics for Sisko fluid flow and heat transfer models." Applied Soft Computing 71 (October 2018): 622–48. http://dx.doi.org/10.1016/j.asoc.2018.07.023.

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43

Gurung, Dil Bahadur. "Bioheat Transfer Equation in Living Tissue and Some Applications." Nepali Mathematical Sciences Report 35, no. 1-2 (December 31, 2018): 11–34. http://dx.doi.org/10.3126/nmsr.v35i1-2.29977.

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Mathematical formulation for heat transfer in living tissue is different than an inert material, and is a current growing research interest area for many researchers due to its wide applications in many medical therapies and physiological studies. This interest stems from the rapid advancement of computational technology and advanced numerical mathematical techniques. The paper focuses on review on basic formulations of bio-heat equation proposed so far by several authors in the living tissue and its some applications.

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44

K., Anantha Kumar, Sugunamma V., Sandeep N., and Ramana Reddy J.V. "Impact of Brownian motion and thermophoresis on bioconvective flow of nanoliquids past a variable thickness surface with slip effects." Multidiscipline Modeling in Materials and Structures 15, no. 1 (January 7, 2019): 103–32. http://dx.doi.org/10.1108/mmms-02-2018-0023.

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Purpose The purpose of this paper is to scrutinize the heat and mass transfer attributes of three-dimensional bio convective flow of nanofluid across a slendering surface with slip effects. The analysis is carried out subject to irregular heat sink/source, thermophoresis and Brownian motion of nanoparticles. Design/methodology/approach At first, proper transmutations are pondered to metamorphose the basic flow equations as ODEs. The solution of these ODEs is procured by the consecutive application of Shooting and Runge-Kutta fourth order numerical procedures. Findings The usual flow fields along with density of motile microorganisms for sundry physical parameters are divulged via plots and scrutinized. Further, the authors analyzed the impact of same parameters on skin friction, heat and mass transfer coefficients and presented in tables. It is discovered that the variable heat sink/source parameters play a decisive role in nature of the heat and mass transfer rates. The density of motile microorganisms will improve if we add Al-Cu alloy particles in regular fluids instead of Al particles solely. A change in thermophoresis and Brownian motion parameters dominates heat and mass transfer performance. Originality/value To the best of the knowledge, no author made an attempt to investigate the flow of nanofluids over a variable thickness surface with bio-convection, Brownian motion and slip effects.

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GOLNESHAN, ALI AKBAR, and MANSOUR LAHONIAN. "EFFECT OF HEATED REGION ON TEMPERATURE DISTRIBUTION WITHIN TISSUE DURING MAGNETIC FLUID HYPERTHERMIA USING LATTICE BOLTZMANN METHOD." Journal of Mechanics in Medicine and Biology 11, no. 02 (April 2011): 457–69. http://dx.doi.org/10.1142/s0219519410003824.

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This work uses the lattice Boltzmann model (LBM) to solve the Pennes bio-heat equation (BHE) to predict the temperature rise behavior occurring in cylindrical biological tissues during magnetic fluid hyperthermia (MFH). Therefore, LBM is extended to solve the bio-heat transfer problem with curved boundary conditions. Effect of magnetic nanoparticles' (MNPs) volume fraction as well as the vastness of heated region on the temperature distribution are shown. The analytical and numerical finite difference solutions reveal the accuracy of the model.

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Liu, Kuo-Chi, Po-Jen Cheng, and Yan-Nan Wang. "Analysis of non-Fourier thermal behavior for multi-layer skin model." Thermal Science 15, suppl. 1 (2011): 61–67. http://dx.doi.org/10.2298/tsci11s1061l.

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This paper studies the effect of micro-structural interaction on bioheat transfer in skin, which was stratified into epidermis, dermis, and subcutaneous. A modified non-Fourier equation of bio-heat transfer was developed based on the second-order Taylor expansion of dual-phase-lag model and can be simplified as the bio-heat transfer equations derived from Pennes? model, thermal wave model, and the linearized form of dual-phase-lag model. It is a fourth order partial differential equation, and the boundary conditions at the interface between two adjacent layers become complicated. There are mathematical difficulties in dealing with such a problem. A hybrid numerical scheme is extended to solve the present problem. The numerical results are in a good agreement with the contents of open literature. It evidences the rationality and reliability of the present results.

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Umar, Sadik, Fauziah Sulaiman, Nurhayati Abdullah, and Saiful Najmee Mohamad. "Preparation, Stability and Thermal Characteristic of Al2O3/Bio-Oil Based Nanofluids for Heat Transfer Applications." Journal of Nanoscience and Nanotechnology 20, no. 12 (December 1, 2020): 7569–76. http://dx.doi.org/10.1166/jnn.2020.18616.

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Conventional thermal fluids with suspended nanoparticles, known as nanofluids, have been developed for heat transfer applications. Heat transfer loss could be reduced significantly if the thermophysical properties of the heat transfer fluid are improved, which to some extent, could reduce the present global environmental challenges associated with energy utilization, such as climate change and global warming. In this work, the role of the concentration of sodium dodecyl-benzene sulfonate (SDBS) in the stability of Al2O3/bio-oil nanofluid is investigated the zeta potential value, and its implications to the viscosity and thermal conductivity of the nanofluid are explored. The bio-oil based nanofluid is fixed using a two-step method in which the prepared base fluid is added with 13-nm alumina nanoparticles powder. Various weight fractions of SDBS (0.1, 0.2, 0.4, 0.6, and 1.0 wt%) are used for both 0.1 and 0.2 wt% Al2O3 to investigate the significance of the stability of a nanofluid on its thermal conductivity and viscosity. Results indicate that a stable nanofluid has reduced viscosity and increased thermal conductivity.

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Daud, N. Atiqah, and Salihatun Md Salleh. "Modeling of Heat Exchanger by Using Bio-Inspired Algorithm." Applied Mechanics and Materials 660 (October 2014): 831–35. http://dx.doi.org/10.4028/www.scientific.net/amm.660.831.

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Modelling of heat exchanger helps to define the error that occurs during the operation. Hence by optimizing it using genetic algorithm and particle swarm optimization, the error that occurred could be minimized and compared between both algorithms. The primary objective of this study was to obtain structural model using ARMAX equation. In this study, data from heat exchanger experiment was used to determine the parameter of ARMAX equation. Using genetic algorithm and particle swarm optimization, ARMAX parameters are optimized. Hence, the transfer function represents the plant for modelling. Validation test used were autocorrelation and cross-correlation to validate between normalised data input and error. Based on the result obtained, for GA, the input parameters are-0.000214, -0.000728, -0.0020, and-0.000804 while the output parameters are-1.0000, -0.1783, -0.1473 and 0.3248. For PSO, the input parameters are 0.0104, -0.0122, -0.0067 and 0.0118 while the output parameters are-0.4274, -0.1256, -0.1865 and-0.2614. From validation test, GA produced smoother and effective result compared to PSO with less noise exists.

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Kengne, Emmanuel, Idir Mellal, Mariem Ben Hamouda, and Ahmed Lakhssassi. "A Mathematical Model to Solve Bio-Heat Transfer Problems through a Bio-Heat Transfer Equation with Quadratic Temperature-Dependent Blood Perfusion under a Constant Spatial Heating on Skin Surface." Journal of Biomedical Science and Engineering 07, no. 09 (2014): 721–30. http://dx.doi.org/10.4236/jbise.2014.79071.

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Su, Yun, Rui Li, Jie Yang, Guowen Song, and Jun Li. "Effect of Compression on Contact Heat Transfer in Thermal Protective Clothing Under Different Moisture Contents." Clothing and Textiles Research Journal 38, no. 1 (July 17, 2019): 19–31. http://dx.doi.org/10.1177/0887302x19863104.

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Contact burns pose a serious threat on firefighters’ health, safety, and job performance. The objective of the study was to analyze the effects of compression and moisture content on thermal protective performance of clothing. Skin-simulant sensor and Pennes bio-heat transfer model were used to predict time to cause skin contact burn. A new index (heat transfer efficiency) was proposed to examine the effects of applied pressure and moisture level on the contact heat transfer in the thermal protective clothing. It was demonstrated that the addition of moisture nonlinearly decreased the thermal protective level of clothing. The fabric thickness was greatly decreased by the compression, but the thermal protective level presented no significant difference between two kinds of pressures. The heat transfer efficiency was an effective index for evaluating the contact heat transfer, which was determined by the basic properties of fabric, the moisture content, and the pressure level. The conclusions from this study could contribute to understanding the effects of compression and moisture on the contact heat transfer, thus providing the principle of thermal protection against skin contact burns.

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Journal articles on the topic 'Bio-heat transfer'

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