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Artículos de revistas sobre el tema "Induction Thermography"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 2 de febrero de 2022

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1

Liu, Xingliang, Guiyun Tian, Yu Chen, Haoze Luo, Jian Zhang y Wuhua Li. "Non-Contact Degradation Evaluation for IGBT Modules Using Eddy Current Pulsed Thermography Approach". Energies 13, n.º 10 (21 de mayo de 2020): 2613. http://dx.doi.org/10.3390/en13102613.

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In this paper, a non-contact degradation evaluation method for insulated gate bipolar transistor (IGBT) modules is proposed based on eddy current pulsed thermography approach. In non-contact heat excitation procedures, a high-power induction heater is introduced to generate heat excitation in IGBT modules. The thermographs of the whole temperature mapping are recorded non-invasively by an IR camera. As a result, the joint degradation of IGBT modules can be evaluated by the transient thermal response curves derived from the recorded thermographs. Firstly, the non-destructive evaluation principle of the eddy current pulsed thermography (ECPT) system for an IGBT module with a heat sink is introduced. A 3D simulation module is built with physical parameters in ANSYS simulations, and then thermal propagation behavior considering the degradation impact is investigated. An experimental ECPT system is set up to verify the effectiveness of the proposed method. The experimental results show that the delay time to peak temperature can be extracted and treated as an effective indicative feature of joint degradation.

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2

Xia, Hui, Erlong Li, Jianbo Wu, Qiao Qiu, Jie Wang, Jiqing Luo y Sha He. "Scanning induction thermography for subsurface defect orientation detection and depth quantification". International Journal of Applied Electromagnetics and Mechanics 64, n.º 1-4 (10 de diciembre de 2020): 869–77. http://dx.doi.org/10.3233/jae-209400.

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Pulsed eddy current thermography (PECT) and eddy current lock-in thermography (ECLIT) are non-destructive testing (NDT) techniques of high promising and interest in subsurface defect detection. In the previous researches, the induction coil was set above the defect region and it always parallel to the defect orientation. However, the location and orientation of subsurface defects cannot be determined before detection. Therefore, the scanning induction thermography (SIT) based on dynamic thermography is proposed by some researchers to localize and distinguish the subsurface defects. Still, the main challenges of SIT are how to detect the subsurface defect orientation and quantify the depth. So that, the quantitative analysis in SIT with the new feature extraction methods was investigated and improved to detect the subsurface defect orientation and quantify the defect depth within 5 mm by using experimental studies.

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3

Genest, Marc y Gang Li. "Induction thermography of steel coupons with cracks". Applied Optics 57, n.º 18 (16 de marzo de 2018): D40. http://dx.doi.org/10.1364/ao.57.000d40.

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4

Kim, Wontae. "Principle and Applications of Induction Infrared Thermography". Journal of the Korean Society for Nondestructive Testing 37, n.º 1 (28 de febrero de 2017): 44–49. http://dx.doi.org/10.7779/jksnt.2017.37.1.44.

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5

Ba, Abdoulaye, Huu Kien Bui, Gérard Berthiau, Didier Trichet y Guillaume Wasselynck. "Simulation of induction thermography NDT technique using SIBC". COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 39, n.º 5 (3 de julio de 2020): 1071–83. http://dx.doi.org/10.1108/compel-01-2020-0007.

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Purpose This paper aims to present a lightened 3D finite element model (FEM) for coupled electromagnetic thermal simulation of the induction thermography non-destructive testing (NDT) technique to reduce the computation time. Design/methodology/approach The time harmonic electromagnetic problem is expressed in A – ϕ formulation and lightened by using the surface impedance boundary condition (SIBC) applied to both the massive induction coil surface and the surface of conductor workpiece including open cracks. The external circuit is taken into account by using the impressed voltage or the impressed current formulation. The thermal diffusion in the workpiece is solved by using surface electromagnetic power density as thermal source. Findings The accuracy and the usefulness of the method for the design of the induction thermography NDT technique have been shown with acceptable deviation compared with a full FEM model. It is also observed that at high frequency, when the ratio between the local radius of the conductor and the skin depth is high, a very good accuracy can be obtained with the SIBC methods. At lower frequency, the effect of the curvature of the surface becomes significant. In this case, the use of the Mitzner’s impedance can help to correct the error. Originality/value The SIBC can be used for both massive coil and workpieces with open cracks to alleviate 3D FEMs of the coupled electrothermal model. The implementation in matrix form of the coupled electrothermal formulation is given in details. The comparisons with reference analytical solution and full 3D FEM show the accuracy and performance of the method. In the test case presented, the computation time is 6.6 times lower than the classical model.

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6

Rieger, Gernot. "Lockin and burst-phase induction thermography for NDE". Quantitative InfraRed Thermography Journal 3, n.º 2 (diciembre de 2006): 141–54. http://dx.doi.org/10.3166/qirt.3.141-154.

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7

Oswald-Tranta, Beate. "Induction Thermography for Surface Crack Detection and Depth Determination". Applied Sciences 8, n.º 2 (9 de febrero de 2018): 257. http://dx.doi.org/10.3390/app8020257.

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8

Netzelmann, Udo, Günter Walle, Sergey Lugin, Andreas Ehlen, Steffen Bessert y Bernd Valeske. "Induction thermography: principle, applications and first steps towards standardisation". Quantitative InfraRed Thermography Journal 13, n.º 2 (16 de marzo de 2016): 170–81. http://dx.doi.org/10.1080/17686733.2016.1145842.

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9

Zhao, Jian, Bin Gao, Wai Lok Woo, Fasheng Qiu y Gui Yun Tian. "Crack Evaluation Based on Novel Circle-Ferrite Induction Thermography". IEEE Sensors Journal 17, n.º 17 (1 de septiembre de 2017): 5637–45. http://dx.doi.org/10.1109/jsen.2017.2723432.

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10

Xia, Hui, Jianbo Wu, Zhaoyuan Xu, Jie Wang y Chuanlei Wang. "Defect Visualization and Depth Quantification in Scanning Induction Thermography". IEEE Sensors Journal 21, n.º 9 (1 de mayo de 2021): 10437–44. http://dx.doi.org/10.1109/jsen.2021.3060916.

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11

He, Yunze, Mengchun Pan y Feilu Luo. "Defect characterisation based on heat diffusion using induction thermography testing". Review of Scientific Instruments 83, n.º 10 (octubre de 2012): 104702. http://dx.doi.org/10.1063/1.4756211.

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12

Mendioroz, Arantza, Lorenzo Fuggiano, Pablo Venegas, Idurre Sáez de Ocáriz, Umberto Galietti y Agustín Salazar. "Characterizing Subsurface Rectangular Tilted Heat Sources Using Inductive Thermography". Applied Sciences 10, n.º 16 (6 de agosto de 2020): 5444. http://dx.doi.org/10.3390/app10165444.

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In this study, we characterize the lateral dimension, depth, and inclination of buried tilted rectangular heat sources from time domain temperature data measured at the surface. The heat sources are representative for planar defects that emit heat in thermographic tests with internal burst excitation. We present a semi-analytical expression for the evolution of the surface temperature distribution. The emitted flux, dimensions and inclination of the heat source are determined by fitting the model to two perpendicular surface temperature profiles and the temperature history at one point of the surface. We show that the sensitivity of the data to the geometrical parameters of the heat source decreases as the angle it makes with the surface increases. The study also shows that the optimum duration of the excitation corresponds to a thermal diffusion length covering the distance from the surface to the deepest end of the heat source. The accuracy and precision of the results for different noise levels and inclinations have been tested by fitting the model to synthetic data with added noise. Fittings of experimental induction thermography data on 3D printed photo-polymeric resin samples containing calibrated Cu slabs confirm that it is possible to characterize tilted rectangular heat sources from surface temperature data.

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13

Li, Zhen y Zhaozong Meng. "A Review of the Radio Frequency Non-destructive Testing for Carbon-fibre Composites". Measurement Science Review 16, n.º 2 (1 de abril de 2016): 68–76. http://dx.doi.org/10.1515/msr-2016-0010.

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AbstractThe purpose of this paper is to review recent research on the applications of existing non-destructive testing (NDT) techniques, especially radio frequency (RF) NDT, for carbon-fibre reinforced plastics (CFRP) composites. Electromagnetic properties of CFRP composites that are associated with RF NDT are discussed first. The anisotropic characteristic of the conductivity and the relationship between the penetration depth and conductivity should be paid much attention. Then, the well-established RF NDT including eddy current technique, microwave technique and RF-based thermography are well categorised into four types (i.e. electromagnetic induction, resonance, RF-based thermography and RF wave propagation) and demonstrated in detail. The example of impact damage detection using the induction and resonance methods is given. Some discussions on the development (like industrial-scale automated scanning, three-dimensional imaging, short-range ultra-wideband (UWB) imaging and the radio frequency identification technology (RFID)-based NDT) are presented.

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14

Azzabi Zouraq, B., H. K. Bui, A. Peterzol, G. Wasselynck, G. Berthiau, D. Trichet y M. Taglione. "A Model-Assisted Probability of Detection Study on Induction Thermography Technique". IEEE Transactions on Magnetics 55, n.º 6 (junio de 2019): 1–4. http://dx.doi.org/10.1109/tmag.2019.2898733.

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15

Kobayashi, K. y N. Banthia. "Corrosion detection in reinforced concrete using induction heating and infrared thermography". Journal of Civil Structural Health Monitoring 1, n.º 1-2 (14 de enero de 2011): 25–35. http://dx.doi.org/10.1007/s13349-010-0002-4.

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16

Widodo, Panut, Gunawan Dwi Haryadi y Achmad Widodo. "Induction Motor Centrifugal Blower Health Diagnostic Based on Color Segmentation of Thermal Image and Vibration Signal Feature". MATEC Web of Conferences 159 (2018): 02002. http://dx.doi.org/10.1051/matecconf/201815902002.

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The rotating machinery requires condition monitoring which its measurement without being intrusive operation, especially on the equipment needed to continue running. One such machinery is a centrifugal blower induction motor. Infrared thermography and vibration are important and effective technologies to diagnose of health condition it without destructive or disturb of operations. The diagnostics of induction motor are based on the analysis results data onto vibration and processing thermal image. This paper focused on thermography image processing based on color segmentation which it will produce ROI (region of interest) images. The ROI image is extracted based on HSV color and shape feature. Feature extraction is intended to determine value of mean, standard deviation, kurtosis, skewness and entropy HSV and shape features (area, perimeter, metric, and eccentricity). The highest RMS (root mean square) vibration data is used as reference to classify data into normal and abnormal. Parameters that can be used to classify normal and abnormal conditions based on data analysis are standard deviation Hue, kurtosis HS, skewness HSV, entropy HSV and metric.

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17

He, Yunze, Bolun Du y Shoudao Huang. "Noncontact Electromagnetic Induction Excited Infrared Thermography for Photovoltaic Cells and Modules Inspection". IEEE Transactions on Industrial Informatics 14, n.º 12 (diciembre de 2018): 5585–93. http://dx.doi.org/10.1109/tii.2018.2822272.

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18

ISHIKAWA, Masashi, Yuuki SHIIYA, Yasuo KOGO, Hiroshi HATTA, Yoshio HABUKA, Ryo FUKUI y Shin UTSUNOMIYA. "Non-destructive inspection of CFRP laminates using phase-transformed induction heating thermography". Transactions of the JSME (in Japanese) 81, n.º 829 (2015): 15–00170. http://dx.doi.org/10.1299/transjsme.15-00170.

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19

Choudhary, Anurag, Deepam Goyal y Shimi Sudha Letha. "Infrared Thermography-Based Fault Diagnosis of Induction Motor Bearings Using Machine Learning". IEEE Sensors Journal 21, n.º 2 (15 de enero de 2021): 1727–34. http://dx.doi.org/10.1109/jsen.2020.3015868.

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20

Baek, Seunghoon, William Xue, Maria Q. Feng y Seungjun Kwon. "Nondestructive Corrosion Detection in RC Through Integrated Heat Induction and IR Thermography". Journal of Nondestructive Evaluation 31, n.º 2 (9 de febrero de 2012): 181–90. http://dx.doi.org/10.1007/s10921-012-0133-0.

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21

Picazo-Rodenas, M. J., R. Royo y J. Antonino-Daviu. "A New Methodology for Complementary Diagnosis of Induction Motors Based on Infrared Thermography". International Journal on Energy Conversion (IRECON) 3, n.º 2 (31 de marzo de 2015): 44. http://dx.doi.org/10.15866/irecon.v3i2.5647.

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22

Guo, Jianguang, Xiaorong Gao, Ewald Toma y Udo Netzelmann. "Anisotropy in carbon fiber reinforced polymer (CFRP) and its effect on induction thermography". NDT & E International 91 (octubre de 2017): 1–8. http://dx.doi.org/10.1016/j.ndteint.2017.05.004.

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23

Wang, Yizhe, Bin Gao, Wai lok Woo, Guiyun Tian, Xavier Maldague, Li Zheng, Zheyou Guo y Yuyu Zhu. "Thermal Pattern Contrast Diagnostic of Microcracks With Induction Thermography for Aircraft Braking Components". IEEE Transactions on Industrial Informatics 14, n.º 12 (diciembre de 2018): 5563–74. http://dx.doi.org/10.1109/tii.2018.2802046.

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24

Bui, Huu Kien, Guillaume Wasselynck, Didier Trichet y Gérard Berthiau. "Study on flaw detectability of NDT induction thermography technique for laminated CFRP composites". European Physical Journal Applied Physics 73, n.º 1 (enero de 2016): 10902. http://dx.doi.org/10.1051/epjap/2015150360.

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25

Huu Kien Bui, Guillaume Wasselynck, Didier Trichet y Gerard Berthiau. "Performance Assessment of Induction Thermography Technique Applied to Carbon-Fiber-Reinforced Polymer Material". IEEE Transactions on Magnetics 51, n.º 3 (marzo de 2015): 1–4. http://dx.doi.org/10.1109/tmag.2014.2363079.

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26

Lopez-Perez, David y Jose Antonino-Daviu. "Application of Infrared Thermography to Failure Detection in Industrial Induction Motors: Case Stories". IEEE Transactions on Industry Applications 53, n.º 3 (mayo de 2017): 1901–8. http://dx.doi.org/10.1109/tia.2017.2655008.

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27

Kwon, Seung Jun y Sang Soon Park. "Non Destructive Technique for Steel Corrosion Detection Using Heat Induction and IR Thermography". Journal of the Korea institute for structural maintenance and inspection 16, n.º 2 (30 de marzo de 2012): 40–48. http://dx.doi.org/10.11112/jksmi.2012.16.2.040.

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28

Remes, Kari, Antti Järvenpää y Tapio Fabritius. "Contactless online characterization of large-area conductive thin films by thermography and induction". Optics Letters 44, n.º 10 (15 de mayo de 2019): 2574. http://dx.doi.org/10.1364/ol.44.002574.

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29

Louaayou, Madani, Nasreddine Naït-Saïd y Fatima Zohra Louai. "2D finite element method study of the stimulation induction heating in synchronic thermography NDT". NDT & E International 41, n.º 8 (diciembre de 2008): 577–81. http://dx.doi.org/10.1016/j.ndteint.2008.07.001.

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30

Vrana, Johannes y Matthias Goldammer. "Defect detection mechanisms with induction and conduction thermography: current flow and defect-specific warming". Quantitative InfraRed Thermography Journal 17, n.º 2 (12 de julio de 2019): 130–51. http://dx.doi.org/10.1080/17686733.2019.1635350.

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31

Lee, Seungju y Wontae Kim. "Quantitative Characteristics of Defect Dimension based on Line Scanning Method of Induction Infrared Thermography". JOURNAL OF THE KOREAN SOCIETY FOR NONDESTRUCTIVE TESTING 40, n.º 6 (31 de diciembre de 2020): 397–403. http://dx.doi.org/10.7779/jksnt.2020.40.6.397.

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32

Bui, H. K., F. D. Senghor, G. Wasselynck, D. Trichet, J. Fouladgar, K. Lee y G. Berthiau. "Characterization of Electrical Conductivity of Anisotropic CFRP Materials by Means of Induction Thermography Technique". IEEE Transactions on Magnetics 54, n.º 3 (marzo de 2018): 1–4. http://dx.doi.org/10.1109/tmag.2017.2742979.

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33

Xia, Hui, Rong Yan, Jianbo Wu, Sha He, Muchao Zhang, Qiao Qiu, Junzhen Zhu y Jie Wang. "Visualization and Quantification of Broken Wires in Steel Wire Ropes Based on Induction Thermography". IEEE Sensors Journal 21, n.º 17 (1 de septiembre de 2021): 18497–503. http://dx.doi.org/10.1109/jsen.2021.3088158.

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34

Wu, Tongle, Bin Gao y Wai Lok Woo. "Hierarchical low-rank and sparse tensor micro defects decomposition by electromagnetic thermography imaging system". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, n.º 2182 (14 de septiembre de 2020): 20190584. http://dx.doi.org/10.1098/rsta.2019.0584.

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With the advancement of electromagnetic induction thermography and imaging technology in non-destructive testing field, this system has significantly benefitted modern industries in fast and contactless defects detection. However, due to the limitations of front-end hardware experimental equipment and the complicated test pieces, these have brought forth new challenges to the detection process. Making use of the spatio-temporal video data captured by the thermal imaging device and linking it with advanced video processing algorithm to defects detection has become a necessary alternative way to solve these detection challenges. The extremely weak and sparse defect signal is buried in complex background with the presence of strong noise in the real experimental scene has prevented progress to be made in defects detection. In this paper, we propose a novel hierarchical low-rank and sparse tensor decomposition method to mine anomalous patterns in the induction thermography stream for defects detection. The proposed algorithm offers advantages not only in suppressing the interference of strong background and sharpens the visual features of defects, but also overcoming the problems of over- and under-sparseness suffered by similar state-of-the-art algorithms. Real-time natural defect detection experiments have been conducted to verify that the proposed algorithm is more efficient and accurate than existing algorithms in terms of visual presentations and evaluation criteria. This article is part of the theme issue ‘Advanced electromagnetic non-destructive evaluation and smart monitoring’.

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35

Yilmaz, Bengisu, Abdoulaye Ba, Elena Jasiuniene, Huu-Kien Bui y Gérard Berthiau. "Evaluation of Bonding Quality with Advanced Nondestructive Testing (NDT) and Data Fusion". Sensors 20, n.º 18 (8 de septiembre de 2020): 5127. http://dx.doi.org/10.3390/s20185127.

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This work aims to compare quantitatively different nondestructive testing (NDT) techniques and data fusion features for the evaluation of adhesive bonding quality. Adhesively bonded composite-epoxy single-lap joints have been investigated with advanced ultrasonic nondestructive testing and induction thermography. Bonded structures with artificial debonding defects in three different case studies have been investigated: debonding with release film inclusion, debonding with brass film-large, debonding with brass film-small. After completing preprocessing of the data for data fusion, the feature matrices, depending on the interface reflection peak-to-peak amplitude and the principal component analysis, have been extracted from ultrasonic and thermography inspection results, respectively. The obtained feature matrices have been used as the source in basic (average, difference, weighted average, Hadamard product) and statistical (Dempster–Shafer rule of combination) data fusion algorithms. The defect detection performances of advanced nondestructive testing techniques, in addition to data fusion algorithms have been evaluated quantitatively by receiver operating characteristics. In conclusion, it is shown that data fusion can increase the detectability of artificial debonding in single-lap joints.

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36

Yang, Ruizhen, Yunze He, Hong Zhang y Shoudao Huang. "Through coating imaging and nondestructive visualization evaluation of early marine corrosion using electromagnetic induction thermography". Ocean Engineering 147 (enero de 2018): 277–88. http://dx.doi.org/10.1016/j.oceaneng.2017.09.023.

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37

Kidangan, Renil Thomas, Chitti Venkata Krishnamurthy y Krishnan Balasubramaniam. "Identification of the fiber breakage orientation in carbon fiber reinforced polymer composites using induction thermography". NDT & E International 122 (septiembre de 2021): 102498. http://dx.doi.org/10.1016/j.ndteint.2021.102498.

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38

Liu, Lu, Dan Zheng, Jianting Zhou, Juan Yang y Hong Zhang. "Parameters That Influence Corrosion Detection in Reinforced Concrete Based on Eddy Current Thermography". Advances in Civil Engineering 2020 (24 de febrero de 2020): 1–9. http://dx.doi.org/10.1155/2020/7962945.

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This study introduces an eddy current thermography technique that can be used to detect and evaluate steel corrosion in a reinforced concrete structure. The rate of surface temperature changes in reinforced concrete is proposed as a means to characterize the degree of steel bar corrosion. The rate of surface temperature changes increased gradually with an increase in the corrosion degree. The influence of structural parameters on the rate of the temperature change was analyzed in detail. The results indicated that the rate of surface temperature change increased with a decrease in the concrete cover depth and with an increase in the humidity of the concrete, and this was affected by the diameter of the internal steel bar. Concrete cover was the most significant factor that affected the rate of the surface temperature change, except for the corrosion degree. The variations in the surface temperature of reinforced concrete can be explained using the law of electromagnetic induction and the electrochemical property change of corroded steel bar. This research provides a reliable basis for real-world applications and is helpful to understand the application scope of eddy current thermography technology for the quantitative detection of steel corrosion.

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39

Wu, Jianbo, Junzhen Zhu y Gui Yun Tian. "Depth quantification of surface-breaking cracks in ferromagnetic materials using DC-biased magnetization based induction thermography". Mechanical Systems and Signal Processing 141 (julio de 2020): 106719. http://dx.doi.org/10.1016/j.ymssp.2020.106719.

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40

Wang, Yongheng, Xiaorong Gao, Michael Finckbohner y Udo Netzelmann. "The effect of paint coatings on detection of vertical surface cracks in metals by induction thermography". NDT & E International 104 (junio de 2019): 58–68. http://dx.doi.org/10.1016/j.ndteint.2019.04.002.

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41

Yang, Ruizhen, Yunze He, Andreas Mandelis, Nichen Wang, Xuan Wu y Shoudao Huang. "Induction Infrared Thermography and Thermal-Wave-Radar Analysis for Imaging Inspection and Diagnosis of Blade Composites". IEEE Transactions on Industrial Informatics 14, n.º 12 (diciembre de 2018): 5637–47. http://dx.doi.org/10.1109/tii.2018.2834462.

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42

Jäckel, Patrick y Udo Netzelmann. "The influence of external magnetic fields on crack contrast in magnetic steel detected by induction thermography". Quantitative InfraRed Thermography Journal 10, n.º 2 (diciembre de 2013): 237–47. http://dx.doi.org/10.1080/17686733.2013.852414.

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43

Bui, H. K., G. Wasselynck, D. Trichet y G. Berthiau. "Application of Degenerated Hexahedral Whitney Elements in the Modeling of NDT Induction Thermography of Laminated CFRP Composite". IEEE Transactions on Magnetics 52, n.º 3 (marzo de 2016): 1–4. http://dx.doi.org/10.1109/tmag.2015.2492362.

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44

Yang, Ruizhen y Yunze He. "Eddy current pulsed phase thermography considering volumetric induction heating for delamination evaluation in carbon fiber reinforced polymers". Applied Physics Letters 106, n.º 23 (8 de junio de 2015): 234103. http://dx.doi.org/10.1063/1.4922524.

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45

Singh, Gurmeet y V. N. A. Naikan. "Infrared thermography based diagnosis of inter-turn fault and cooling system failure in three phase induction motor". Infrared Physics & Technology 87 (diciembre de 2017): 134–38. http://dx.doi.org/10.1016/j.infrared.2017.10.007.

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46

Srajbr, Christian, Christian Thiemann, Michael Zäh y Klaus Dilger. "Induction-Excited Thermography — a Method to Visualize Defects in Semi-Structural Adhesive Bonds of Car Body Structures". Welding in the World 56, n.º 3-4 (marzo de 2012): 126–32. http://dx.doi.org/10.1007/bf03321343.

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47

Yang, Ruizhen y Yunze He. "Polymer-matrix composites carbon fibre characterisation and damage inspection using selectively heating thermography (SeHT) through electromagnetic induction". Composite Structures 140 (abril de 2016): 590–601. http://dx.doi.org/10.1016/j.compstruct.2016.01.006.

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48

Liu, Zhiping, Xingle Liu, Lei Jiang, Ge Lu y Huilong Liu. "Study on the Heat Transfer Characteristics Performed in the Infrared Thermography Detection of Welded Structure". Open Mechanical Engineering Journal 9, n.º 1 (17 de abril de 2015): 251–59. http://dx.doi.org/10.2174/1874155x01509010251.

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During the weld defect detection, the heat transfer characteristics are closely related to the material properties of welded structure. Based on the electromagnetic induction infrared thermography technology, the heat transfer Characteristics of the welded material are studied with the changing temperature. By using the finite element analysis software COMSOL, the eddy current density and temperature distributions and the law of thermal diffusion were analyzed which provide a reference for the study of heat transfer characteristics of weld defects. The internal temperature dynamic changes of the weld with surface crack or near-surface crack were also discussed. The appropriate time to observe and the key defect location on the steel obtained from the heat conduction process can be applied to the development of heat transfer characteristic analysis for steel weld and weld defects detection.

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Tomas-Egea, Juan Angel, Maria Victoria Traffano-Schiffo, Marta Castro-Giraldez y Pedro J. Fito. "Hot Air and Microwave Combined Drying of Potato Monitored by Infrared Thermography". Applied Sciences 11, n.º 4 (15 de febrero de 2021): 1730. http://dx.doi.org/10.3390/app11041730.

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Hot air drying (HAD) at temperatures below the spontaneous evaporation temperature could be combined with microwave (MW) radiation as a thermal energy source in order to reduce the drying time. A photon flux in the microwave range interacts with dipolar molecules (water) through orientation and induction, producing electrical energy storage and thermal energy accumulation and generating an increase in the internal energy of food. The different mechanisms involved in water transport could change when the microwave penetration depth exceeds the sample characteristic dimension of mass transport. The aim of this paper is to determine the effect of MW in the combined HAD-MW drying of raw potato in order to obtain the real driving forces and mechanisms involved in the water transport, with the purpose of optimizing the MW power used. For this purpose, combined drying was carried out on potato samples (0, 4 and 6 W/g). The sample surface temperature was monitored by infrared thermography, and the sample mass was measured continuously through a precision balance. In parallel with continuous drying, another drying treatment was performed at different times (20, 40, 60, 90, 120, 180, 420 min) and conditions (0, 4 and 6 W/g) to analyze the dielectric properties, mass, moisture, volume and water activity. The results show that it is possible to monitor combined drying by infrared thermography, and it can be concluded that the convection heating is mostly transformed into surface water evaporation, with negligible thermal conduction from the surface, and microwave radiation is mostly transformed into an increase in the potato’s internal energy.

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50

TANIGUCHI, Osamu, Bunji SHIGEMATSU, Hiroaki HORIE y Hideki OSHITA. "APPLICATION OF THERMOGRAPHY TO DETECTION OF INTERNAL DEFECTS IN REINFORCED CONCRETE BY HEAT CHARGE DUE TO ELECTROMAGNETIC INDUCTION". Doboku Gakkai Ronbunshuu E 64, n.º 1 (2008): 173–85. http://dx.doi.org/10.2208/jsceje.64.173.

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