Entropy Generation Methodology for Defect Analysis of Electronic and Mechanical Components—A Review

Cai, Miao; Cui, Peng; Qin, Yikang; Geng, Daoshuang; Wei, Qi-Qin; Wang, Xiyou; Yang, Daoguo; Zhang, Guoqi

doi:10.3390/e22020254

Cited by 10 publications

(6 citation statements)

References 67 publications

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“…The average value for FFE is 23.79 MJ/m 3 K, with a standard deviation of 2.13. These results are in agreement with the reported value of FFE in a recent paper by Cai et al 56 They conducted independent fatigue experiments with carbon steel 1018 and reported that FFE = 23% ± 10% MJ/m 3 K deviation. The temperature and electric potential slope were calculated based on 10 s of the beginning of each test.…”

Section: Resultssupporting

confidence: 93%

Application of thermoelectricity in fatigue of metals

Hajshirmohammadi

Khonsari

2021

Fatigue Fract Eng Mat Struct

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An online approach is proposed to predict the fatigue life of metallic specimens under cyclic loading using the concept of thermoelectricity. The working principle of the methodology is described, and experimental results are performed with a fully reversed bending fatigue testing apparatus to evaluate the efficacy of the approach. Results are presented that correlate the measured thermoelastic potential for low‐carbon steel 1018 specimens measured via an infrared camera. It is shown that the application of thermoelectricity provides a practical methodology for early prediction of fatigue.

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Section: Resultssupporting

confidence: 93%

Application of thermoelectricity in fatigue of metals

Hajshirmohammadi

Khonsari

2021

Fatigue Fract Eng Mat Struct

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“…This new approach does take into account all these parameters and thus provides a better reflection of the real value of the irreversibility ratios (which are given in table 4), thus providing the true value of the entropy generation. 6.6563 10 -3 3.9287 10 -12 5.9022 10 -10 10 6 1.4340 10 -3 1.8235 10 -13 1.2716 10 -10…”

Section: The Irreversibility Ratios Calculation Methodsmentioning

confidence: 99%

“…Accurately determining the entropy generation in applied thermal engineering is the indispensable prerequisite for the design of different types of thermal exchanging devices [2]. Entropy generation has been and continues to be the subject of many research activities over the past decades, as shown by the significant review articles by Oztop and Al-Salem [3], Sciacovelli et al [4], and more recently by Kumar et al [5], and Cai et al [6]. Solving the entropy generation equation during fluid flows in a natural convection regime, which will be developed later, requires the calculation of a coefficient called "the irreversibility distribution ratio", oftentimes symbolized by the Greek letter φ.…”

Section: Introductionmentioning

confidence: 99%

“…Shavik et al [9], Yejjer et al [10], Jassim et al [11] and Seyyedi et al [12], impose values of the same ratio ranging from 10 -3 to 10 -5 with no explanation. In the same way, Erbay et al [13,14], specify values which increase linearly with the Rayleigh number (Ra), starting at 10 -13 for Ra=10 2 to reach 10 -9 for Ra=10 6 , with constant steps of 10. Rathnam et al [15], use an order of magnitude analysis of parameters to evaluate the same ratio at 10 -3 .…”

Section: Introductionmentioning

confidence: 99%

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New Approach to Compute Accurately the Entropy Generation Due to Natural Convection in a Square Cavity

Boudebous

Ferroudj²

2021

E3S Web Conf.

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The idea to carry out an exercise to compare the calculation of entropy generation for unsteady natural convection in a square cavity with vertical sides that are maintained at different temperatures was motived by the observation, in the literature, of inaccurate or often erroneous results concerning the values of this significant physical entity. It then appeared necessary to reconsider this problem in order to ensure its consistent assessment. The new approach that we propose allows a direct access to the value of the entropy generation by considering the exact values of the thermophysical properties of the working fluid, which depends on the Prandtl and the Rayleigh numbers.

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“…A few recent studies can be found in many practical situations such as thermal designing of electronic assembly, optimal package designing of printed circuit boards, data center modeling, cooling of electronic device, thermal storage, examining defects in electronic components, etc. (Bairi, 2015; Fulpagare et al , 2018; Djebali et al , 2019; Xu et al , 2019; Cai et al , 2020). More accurate experimental models are available, and it can be noted that concentric square-shaped solids with various aspect ratios are considered enormously.…”

Section: Introductionmentioning

confidence: 99%

Thermal convection and entropy generation of ferrofluid in an enclosure containing a solid body

Chinnasamy¹,

Priyadharsini²,

Sheremet

2020

HFF

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Purpose This study/paper aims to deal with thermal convection and entropy production of a ferrofluid in an enclosure having an isothermally warmed solid body placed inside. It should be noted that this research deals with a development of passive cooling system for the electronic devices. Design/methodology/approach The domain of interest is a square chamber of size L including a rectangular solid block of sizes l1 and l2. Thermal convection of ferrofluid (water–Fe3O4 nanosuspension) is analyzed within this enclosure. The solid body is considered to be isothermal with temperature Th and also its area is L2/9. The vertical borders are cold with temperature Tc and the horizontal boundaries are adiabatic. The flow driven by temperature gradient in the cavity is two-dimensional. The governing equations, formulated in dimensionless primitive variables with corresponding initial and boundary conditions, are worked out by using the finite volume technique with the semi-implicit method for pressure-linked equations algorithm on a uniformly staggered mesh. The influence of nanoparticles volume fraction, aspect ratio of the solid block and an irreversibility ratio on energy transport and flow patterns are examined for the Rayleigh number Ra = 107. Findings The results show that the nanoparticles concentration augments the thermal transmission and the entropy production increases also, while the augmentation of temperature difference results in a diminution of entropy production. Finally, lower aspect ratio has the significant impact on heat transfer, isotherms, streamlines and entropy. Originality/value An efficient numerical technique has been developed to solve this problem. The originality of this work is to analyze convective energy transport and entropy generation in a chamber with internal block. To the best of the authors’ knowledge, the effects of irreversibility ratio are scrutinized for the first time. The results would benefit scientists and engineers to become familiar with the analysis of convective heat transfer and entropy production in enclosures with internal isothermal blocks, and the way to predict the heat transfer rate in advanced technical systems, in industrial sectors including transportation, power generation, chemical sectors, electronics, etc.

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Entropy Generation Methodology for Defect Analysis of Electronic and Mechanical Components—A Review

Cited by 10 publications

References 67 publications

Application of thermoelectricity in fatigue of metals

Application of thermoelectricity in fatigue of metals

New Approach to Compute Accurately the Entropy Generation Due to Natural Convection in a Square Cavity

Thermal convection and entropy generation of ferrofluid in an enclosure containing a solid body

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