Entropy Generation Analysis of Human Thermal Stress Responses

Boregowda, S.; Choate, Robert; Handy, Richard L.

doi:10.5402/2012/830103

Cited by 11 publications

(3 citation statements)

References 15 publications

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“…In order to make individual rates of change of system entropy comparable, it is necessary to introduce the concept of specific rate of change of system entropy per unit mass (σ(t)), i.e. proceed from the presumption that the amount of entropy produced is mass-dependent: [ 13 , 14 ]…”

Section: Stress Entropic Load (Sel)mentioning

confidence: 99%

Calculating Stress: From Entropy to a Thermodynamic Concept of Health and Disease

et al. 2016

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To date, contemporary science has lacked a satisfactory tool for the objective expression of stress. This text thus introduces a new–thermodynamically derived–approach to stress measurement, based on entropy production in time and independent of the quality or modality of a given stressor or a combination thereof. Hereto, we propose a novel model of stress response based on thermodynamic modelling of entropy production, both in the tissues/organs and in regulatory feedbacks. Stress response is expressed in our model on the basis of stress entropic load (SEL), a variable we introduced previously; the mathematical expression of SEL, provided here for the first time, now allows us to describe the various states of a living system, including differentiating between states of health and disease. The resulting calculation of stress response regardless of the type of stressor(s) in question is thus poised to become an entirely new tool for predicting the development of a living system.

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Section: Stress Entropic Load (Sel)mentioning

confidence: 99%

Calculating Stress: From Entropy to a Thermodynamic Concept of Health and Disease

et al. 2016

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“…This mechanism is mainly adapted for controlling external factors such as environment temperature variation [2][3][4][5][6]. Any changes in the local temperature of the body can be detected by the temperature control mechanism to maintain the safety of the body, while if it exceeds the normal range, it can damage the body tissues [7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Dependence of Temperature Rise on the Position of Catheters and Implants Power Sources Due to the Heat Transfer into the Blood Flow

Zangooei

Mirbozorgi

2022

Electronics

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This work provides a numerical analysis of heat transfer from medical devices such as catheters and implants to the blood flow by considering the relative position of such power sources to the vessel wall. We have used COMSOL Multiphysics® software to simulate the heat transfer in the blood flow, using the finite element method and Carreau-–Yasuda fluid model (a non-Newtonian model for blood flow). The location of the power source is changed (from the center to near the wall) in the blood vessel with small steps, while the blood flow takes different velocities. The numerical simulations show that when the catheter/implant approaches the vessel wall, the temperature increases linearly for ~90% of the radial displacement from the centerline position to the vessel wall, while for the last 10% of the radial displacement, the temperature increases exponentially. As a result, the temperature is increased significantly, when changing the position of the catheter/implant from the centerline to the area adjacent to the vessel wall.

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“…The second law of thermodynamics accounts for the dissipation of energy via entropy production in any process, including the living organisms (Schrödinger, 1944). Organisms manage a combined entropy process in every constituent of their systems, a change in any subsystem affects others and the entire system (Schrödinger, 1944;Luo, 2009;Molnar et al, 2011;Boregowda et al, 2012;Garland, 2013). Entropy generation in organisms was extensively studied (Prigogine and Wiame, 1946;Zotin and Zotina, 1967;Balmer, 1982;Aoki, 1994;Rahman, 2007;Silva and Annamalai, 2008;Silva and Annamalai, 2009;Neto et al, 2010); while some of the recent studies have been focusing explicitly on exercise (Rahman, 2007;Silva and Annamalai, 2008;Silva and Annamalai, 2009;Neto et al, 2010;Henriques et al, 2014) some of them were also referred to as valuable tools in physiology (Muñoz-Diosdado and Galvez-Coyt, 2010;Uehara and Koibuchi, 2011;Davogustto and Taegtmeyer, 2015).…”

Section: Introductionmentioning

confidence: 99%

Assessment of the work efficiency with exergy method in ageing muscles and healthy and enlarged hearts

Çatak

Özilgen

Olcay

et al. 2018

IJEX

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Thermodynamic aspects of skeletal and cardiac muscle work performance are assessed with the data obtained from the literature. Since the second law muscle work efficiency decreases with declining metabolic energy conversion efficiency in the mitochondria, followed by structural failure of the muscles during ageing, the thermodynamic aspects of the muscle work ageing process were simulated by incorporating the decreasing second law muscle work efficiency with the exercise data obtained with the healthy young adults. Within limits of the data analysed here, glucose utilisation ability of the cardiac muscle appears to be the most critical factor determining its work performance. The left and the right ventricles of the enlarged heart had the ability of utilising approximately 3.5 and 2.7 times less glucose, respectively, than their healthy counterparts. The work performance and the entropy generation by the enlarged and the healthy hearts maintained the same ratios. 2 J. Çatak et al.

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Entropy Generation Analysis of Human Thermal Stress Responses

Cited by 11 publications

References 15 publications

Calculating Stress: From Entropy to a Thermodynamic Concept of Health and Disease

Calculating Stress: From Entropy to a Thermodynamic Concept of Health and Disease

Dependence of Temperature Rise on the Position of Catheters and Implants Power Sources Due to the Heat Transfer into the Blood Flow

Assessment of the work efficiency with exergy method in ageing muscles and healthy and enlarged hearts

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