Solving of Two-Dimensional Unsteady-State Heat-Transfer Inverse Problem Using Finite Difference Method and Model Prediction Control Method

Wang, Shoubin; Ni, Rui

doi:10.1155/2019/7432138

Cited by 17 publications

(8 citation statements)

References 21 publications

(22 reference statements)

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“…The discrete rules of 2D unsteady-state heat conduction problem with internal heat source of the cell plane section, as shown in Figure 1a,b, with time domain are as follows: [23] assuming that after the domain of uniform discretization, the step length of r-axis is Δr ¼ ðr jþ1 À r j Þ and that of z-axis is Δz ¼ ðz iþ1 À z i Þ.…”

Section: Discretization and Approximation Schemementioning

confidence: 99%

“…In the present analysis, finite difference equation is applied on 15 Â 4 grid size in a cell plane section. The stability of the considered grid is verified for 2D unsteady-state condition considering the Fourier number values within specified range [23] and Biot number (B) where B is a ratio of internal conduction resistance to the surface convection resistance. In the present work with multipartition approach, the multidirectional thermal resistance governs nonuniform temperature distribution inside the battery.…”

Section: Discretization and Approximation Schemementioning

confidence: 99%

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Identifying Efficient Cooling Approach of Cylindrical Lithium‐Ion Batteries

et al. 2021

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With the rapid rise in the application of the lithium-ion battery (LIB), especially in the automotive sector, its thermal management has become an important concern. Thermal management of LIB requires numerical modeling efforts to acknowledge the battery thermal behavior at different charging and discharging rates to validate the experimental outcome and hence real performance. The present research work discusses a numerical modeling approach to simulate the temperature distribution inside a cylindrical LIB using "finite difference analysis" (FDA) formulations. A multipartition heat generation model is implemented to investigate the thermal behavior of the LIB at different discharging rates. The numerical results are validated by published data for the Li-ion 18650 cell. Temperature distribution inside the LIB for "both-tab" and "radial cooling" is compared. The results demonstrate the effectiveness of the "both-tab" surface cooling approach over "radial cooling" at two different discharge rates (1 and 2 C) with varying heat transfer coefficients (25, 50, and 100 W m À2 K À1 ). The reduced axial temperature differences of approximately 50%, i.e., 1.9 C, in the LIB through "both-tab" cooling compared to radial cooling indicate the significance of the choice of cooling approach.

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Section: Discretization and Approximation Schemementioning

confidence: 99%

Section: Discretization and Approximation Schemementioning

confidence: 99%

Identifying Efficient Cooling Approach of Cylindrical Lithium‐Ion Batteries

et al. 2021

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“…With a FVM, the computational region is divided into a series of non-repetitive control volumes around each network’s grid point. Integrating differential equations for each control volume results in a set of discrete equations [ 32 ].…”

Section: Introductionmentioning

confidence: 99%

Finite Element Method for Freezing and Thawing Industrial Food Processes

Fadiji

Ashtiani

Onwude

et al. 2021

Foods

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Freezing is a well-established preservation method used to maintain the freshness of perishable food products during storage, transportation and retail distribution; however, food freezing is a complex process involving simultaneous heat and mass transfer and a progression of physical and chemical changes. This could affect the quality of the frozen product and increase the percentage of drip loss (loss in flavor and sensory properties) during thawing. Numerical modeling can be used to monitor and control quality changes during the freezing and thawing processes. This technique provides accurate predictions and visual information that could greatly improve quality control and be used to develop advanced cold storage and transport technologies. Finite element modeling (FEM) has become a widely applied numerical tool in industrial food applications, particularly in freezing and thawing processes. We review the recent studies on applying FEM in the food industry, emphasizing the freezing and thawing processes. Challenges and problems in these two main parts of the food industry are also discussed. To control ice crystallization and avoid cellular structure damage during freezing, including physicochemical and microbiological changes occurring during thawing, both traditional and novel technologies applied to freezing and thawing need to be optimized. Mere experimental designs cannot elucidate the optimum freezing, frozen storage, and thawing conditions. Moreover, these experimental procedures can be expensive and time-consuming. This review demonstrates that the FEM technique helps solve mass and heat transfer equations for any geometry and boundary conditions. This study offers promising insight into the use of FEM for the accurate prediction of key information pertaining to food processes.

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“…[2] Since temperature distribution is induced by heat dissipation under a certain Razzaq et al [12] applied inverse thermal modelling approach to compute the iron losses in an induction motor. Shoubin et al [13] conducted the inverse heat conduction problem in the two-dimensional unsteady heat conduction system. Shuangfeng et al [14] developed a steady-state inverse heat conduction model and predicted the heat dissipation of a GaN chip mounted on a PCB.…”

Section: Introductionmentioning

confidence: 99%

Heat Dissipation Measurement of Electronic Component on PCB by Means of External Heater and Heat Flux Sensor

Li¹,

Silveira²,

Fushinobu³

et al. 2021

Transactions of The Japan Institute of Electronics Packaging

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A new heat dissipation measurement method based on an external heater and a heat flux sensor was proposed. The information of boundary conditions and thermal properties of materials, such as the thermophysical properties of printed circuit board (PCB), in the heat transfer path is not necessary for heat dissipation measurement in the proposed method.Numerical and experimental study was carried out on testing board with single component to estimate the feasibility of this method, in addition, the effects of the thermal resistance between heater and die/chip on the relative error of the proposed measurement method are investigated. This method is proved to be able to predict the heat dissipation from a single electronic component accurately, and has high applicable for the single BGA component.

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Solving of Two-Dimensional Unsteady-State Heat-Transfer Inverse Problem Using Finite Difference Method and Model Prediction Control Method

Cited by 17 publications

References 21 publications

Identifying Efficient Cooling Approach of Cylindrical Lithium‐Ion Batteries

Identifying Efficient Cooling Approach of Cylindrical Lithium‐Ion Batteries

Finite Element Method for Freezing and Thawing Industrial Food Processes

Heat Dissipation Measurement of Electronic Component on PCB by Means of External Heater and Heat Flux Sensor

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