Evaluation of image reconstruction algorithms for non-destructive characterization of thermal interfaces

Ertürk, Hakan

doi:10.1016/j.ijthermalsci.2011.02.002

Cited by 11 publications

(5 citation statements)

References 33 publications

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“…[11, 18] proposed the thermal tomography method to reconstruct the thermal parameters of the targeted components. Erturk [19] presented thermal tomography for the non‐destructive characterisation of thermal interfaces by considering different image reconstruction algorithms. Shi et al.…”

Section: Introductionmentioning

confidence: 99%

“…[11,18] proposed the thermal tomography method to reconstruct the thermal parameters of the targeted components. Erturk [19] presented thermal tomography for the non-destructive characterisation of thermal interfaces by considering different image reconstruction algorithms. Shi et al [10] proposed the use of the q-r characteristic curve to approximatively detect the heat intensity of female breast tissue to diagnose the degree of diseases.…”

Section: Introductionmentioning

confidence: 99%

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Novel detection approach for thermal defects: Study on its feasibility and application to vehicle cables

et al. 2022

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It is important to accurately assess the thermal defect state of equipment to ensure its safe operation. A novel thermal defect detection method called the square even-order derivative method is proposed. First, the derivative functions of temperature were constructed to investigate the main-side-peak characteristics of the derivative curve, and the mathematical expressions for the position, depth, intensity of the defects, and parameters of the derivative curve were deduced, which can be used to quantitatively detect the defects. Then, numerical and experimental analyses of an example case of defected epoxy resin plates were carried out to verify that thermal defects can be effectively and accurately detected by the proposed method. Finally, the method was applied to a vehicle cable to detect its thermal defects in another example case of defected vehicle cable, which preliminarily validated the feasibility of the proposed method in practical applications.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Novel detection approach for thermal defects: Study on its feasibility and application to vehicle cables

et al. 2022

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“…Thermal tomography is an emerging non-destructive imaging technique which aims at recovery of three-dimensional images of the thermal conductivity and heat capacity of a physical body from non-invasive temperature measurements made on the surface of the body [1][2][3][4][5][6][7][8][9][10][11]. In the measurement process, the body is heated at a source location and temperature evolutions are measured at multiple measurement locations on the surface.…”

Section: Introductionmentioning

confidence: 99%

“…Thermal tomography has been studied with simulations in [1][2][3][4][5][6][7][8][9][10]. The spatially distributed thermal conductivity of a two-dimensional (2D) body was estimated using simulated steady state measurements in [1] and that of three-dimensional (3D) bodies with known heat capacities using simulated transient state measurements in [2,3]. The estimation of either the spatially distributed thermal conductivity or the spatially distributed heat capacity of a 2D body while the other parameter was assumed known was studied in [4].…”

Section: Introductionmentioning

confidence: 99%

Thermal tomography utilizing truncated Fourier series approximation of the heat diffusion equation

Toivanen

Tarvainen

Huttunen

et al. 2017

International Journal of Heat and Mass Transfer

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In a thermal tomography measurement setup, a physical body is sequentially heated at different source locations and temperature evolutions are measured at several measurement locations on the surface of the body. Based on these transient measurements, the thermal conductivity, the volumetric heat capacity and the surface heat transfer coefficient of the body are estimated as spatially distributed parameters, typically by minimizing a modified data misfit functional between the measured data and the data computed with the estimated thermal parameters. In thermal tomography, heat transfer is modeled with the time-dependent heat diffusion equation for which direct time domain solving is computationally expensive. In this paper, the computations of thermal tomography are sped up by utilizing a truncated Fourier series approximation approach. In this approach, a frequency domain equivalent of the time domain heat diffusion equation is solved at multiple frequencies and the solutions are used to obtain a truncated Fourier series approximation for the solution and the Jacobian of the time domain heat transfer problem. The feasibility of the approximation is tested with simulated and experimental measurement data. When compared to a previously used time domain approach, it is shown to lead to a significant reduction of computation time in image reconstruction with no significant loss of reconstruction accuracy.

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“…An infrared microscopy technique to characterize a TIM layer through a silicon wafer was demonstrated by Hu et al [4]. Thermography techniques [5,6] may be used to characterize the transient thermal response of an interface, and thus infer the existence and location of voids. High-resolution methods, such as scanning electron microscopy [3], have also been applied to TIM layers.…”

Section: Introductionmentioning

confidence: 99%

Void Detection in Dielectric Films Using a Floating Network of Substrate-Embedded Electrodes

Taylor

Garimella

2014

Journal of Electronic Packaging

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A sensor is developed for simple, in situ characterization of dielectric thermal interface materials (TIMs) at bond line thicknesses less than 100 lm. The working principle is based on the detection of regions of contrasting electric permittivity. An array of long, parallel electrodes is flush-mounted into each opposing substrate face of a narrow gap interface, and exposed to the gap formed between the two surfaces. Electrodes are oriented such that their lengthwise dimension in one substrate runs perpendicular to those in the other. A capacitance measurement taken between opposing electrodes is used to characterize the interface region in the vicinity of their crossing point (junction). The electric field associated with each electrode junction is numerically simulated and analyzed. Criteria are developed for the design of electrode junction geometries that localize the electric fields. The capacitances between floating-ground electrodes in the electrode sensor configuration employed give rise to a nontrivial network of interacting capacitances which strongly influence the measured response at any junction. A generalized solution for analyzing the floating network response is presented. The technique is used to experimentally detect thermal grease spots of 0.2 mm to 1.8 mm diameter within a 25 lm interface gap. It is necessary to use the generalized solution to the capacitance network developed in this work to properly delineate regions of contrasting permittivity in the interface gap region using capacitance measurements.

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Evaluation of image reconstruction algorithms for non-destructive characterization of thermal interfaces

Cited by 11 publications

References 33 publications

Novel detection approach for thermal defects: Study on its feasibility and application to vehicle cables

Novel detection approach for thermal defects: Study on its feasibility and application to vehicle cables

Thermal tomography utilizing truncated Fourier series approximation of the heat diffusion equation

Void Detection in Dielectric Films Using a Floating Network of Substrate-Embedded Electrodes

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