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Journal articles on the topic 'Thermal analysis'

To see the other types of publications on this topic, follow the link: Thermal analysis.

Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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1

MUKADDES, A. M. M., Masao OGINO, Hiroshi KANAYAMA, and Akio MIYOSHI. "Non-Steady Thermal Analysis Using ADVENTURE_Thermal." Proceedings of The Computational Mechanics Conference 2004.17 (2004): 829–30. http://dx.doi.org/10.1299/jsmecmd.2004.17.829.

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2

Price, Duncan M., Michael Reading, Azzedine Hammiche, and Hubert M. Pollock. "Micro-thermal analysis: scanning thermal microscopy and localised thermal analysis." International Journal of Pharmaceutics 192, no. 1 (December 1999): 85–96. http://dx.doi.org/10.1016/s0378-5173(99)00275-6.

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3

S, Manavalan, Hulendra Kumar, Bharath Kumar, Raviteja M, and Israfil Ali. "Structural and Thermal Analysis of Disc Plate." International Journal of Psychosocial Rehabilitation 23, no. 4 (July 20, 2019): 408–18. http://dx.doi.org/10.37200/ijpr/v23i4/pr190200.

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4

MEDVEĎ, Dušan, and Ján PRESADA. "THERMAL ANALYSIS OF HIGH-CURRENT ELECTRIC CONTACT." Acta Electrotechnica et Informatica 21, no. 3 (December 20, 2021): 38–42. http://dx.doi.org/10.15546/aeei-2021-0018.

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This paper deals with mathematical modelling of the temperature distribution in the vicinity of a direct electrical high-current contact under the action of a nominal current of 3000 A. High-current electrical contacts belong among the elements by which a large number of electrical devices are connected. They play an important role especially in the transmission and distribution system, where they have to withstand adverse weather conditions that have a significant impact on their degradation.

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5

Vigneshwaran, V., V. K. Aravindraman, and K. Venkatachalam V. Raveendran. "Thermal Transport Properties Analysis of MWCNT-RT21Nanofluids." International Journal of Trend in Scientific Research and Development Volume-3, Issue-2 (February 28, 2019): 641–43. http://dx.doi.org/10.31142/ijtsrd21435.

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6

SUGIURA, Shigeki, and Rieko KANAZAWA. "Thermal Analysis." Journal of the Japan Society of Colour Material 64, no. 3 (1991): 178–90. http://dx.doi.org/10.4011/shikizai1937.64.178.

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7

TODOKI, Minoru. "Thermal Analysis." Journal of the Japan Society of Colour Material 79, no. 7 (2006): 296–311. http://dx.doi.org/10.4011/shikizai1937.79.296.

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8

Vyazovkin, Sergey. "Thermal Analysis." Analytical Chemistry 82, no. 12 (June 15, 2010): 4936–49. http://dx.doi.org/10.1021/ac100859s.

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9

Vyazovkin, Sergey. "Thermal Analysis." Analytical Chemistry 76, no. 12 (June 2004): 3299–312. http://dx.doi.org/10.1021/ac040054h.

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10

Dollimore, David. "Thermal analysis." Analytical Chemistry 60, no. 12 (June 15, 1988): 274–79. http://dx.doi.org/10.1021/ac00163a019.

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11

Dollimore, D., and P. Phang. "Thermal Analysis." Analytical Chemistry 72, no. 12 (June 2000): 27–36. http://dx.doi.org/10.1021/a1000003j.

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12

Dollimore, D. "Thermal Analysis." Analytical Chemistry 68, no. 12 (January 1996): 63–72. http://dx.doi.org/10.1021/a1960006p.

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13

Dollimore, D., and S. Lerdkanchanaporn. "Thermal Analysis." Analytical Chemistry 70, no. 12 (June 1998): 27–36. http://dx.doi.org/10.1021/a19800038.

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14

Vyazovkin, Sergey. "Thermal Analysis." Analytical Chemistry 78, no. 12 (June 2006): 3875–86. http://dx.doi.org/10.1021/ac0605546.

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15

Dollimore, D. "Thermal analysis." Analytical Chemistry 64, no. 12 (June 15, 1992): 147–53. http://dx.doi.org/10.1021/ac00036a008.

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16

Vyazovkin, Sergey. "Thermal Analysis." Analytical Chemistry 74, no. 12 (June 2002): 2749–62. http://dx.doi.org/10.1021/ac020219r.

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17

Dollimore, D. "Thermal analysis." Analytical Chemistry 62, no. 12 (June 15, 1990): 44–50. http://dx.doi.org/10.1021/ac00211a004.

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18

Dollimore, D. "Thermal Analysis." Analytical Chemistry 66, no. 12 (June 1994): 17–25. http://dx.doi.org/10.1021/ac00084a002.

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19

Wendlandt, W. W. "Thermal analysis." Analytical Chemistry 58, no. 5 (April 1986): 1–6. http://dx.doi.org/10.1021/ac00296a001.

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20

Živkovič, Ž. "Thermal analysis." Thermochimica Acta 97 (January 1986): 393–94. http://dx.doi.org/10.1016/0040-6031(86)87044-7.

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21

Vyazovkin, Sergey. "Thermal Analysis." Analytical Chemistry 80, no. 12 (June 2008): 4301–16. http://dx.doi.org/10.1021/ac8005999.

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22

Dollimore, David. "Thermal analysis." Thermochimica Acta 188, no. 1 (October 1991): 179–80. http://dx.doi.org/10.1016/0040-6031(91)80217-7.

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23

Boddington, T., Feng Hongtu, P. G. Laye, M. Nawaz, and Dorothy C. Nelson. "Thermal runaway by thermal analysis." Thermochimica Acta 170 (November 1990): 81–87. http://dx.doi.org/10.1016/0040-6031(90)80526-5.

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24

Patel, Rankit, and Bindu Pillai. "Thermal Modeling and Analysis of Friction Stir Welding." Indian Journal of Applied Research 1, no. 9 (October 1, 2011): 68–70. http://dx.doi.org/10.15373/2249555x/jun2012/27.

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25

Marushchak, Uliana, and Oksana Pozniak. "ANALYSIS OF WALL MATERIALS ACCORDING TO THERMAL PARAMETERS." Theory and Building Practice 2022, no. 1 (June 20, 2022): 63–70. http://dx.doi.org/10.23939/jtbp2022.01.063.

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Based on the analysis of energy consumption and carbon dioxide emissions of the construction industry, it is stated that the reduction of energy consumption in Ukraine is achieved through termomodernization of the existing building stock and build new buildings, which meet energy efficiency requirements. Comparison of thermal parameters of different wall materials are given. It is shown that multilayer wall constructions must be used to ensure the necessary indicators of external walls of energy efficient buildings. The use of effective wall materials allows to ensure compliance with the given temperature difference to regulatory documents and reducing of heat transfer by transmission during the heating season, solar heat gains during cooling season.

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26

Jagadeesh, Chintu, and K. Srinivasa Rao. "Analysis of Thermal Criteria on Cryogenic Pressure Vessel." International Journal of Trend in Scientific Research and Development Volume-3, Issue-2 (February 28, 2019): 205–8. http://dx.doi.org/10.31142/ijtsrd20307.

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27

Patterson, Eann, Richard Greene, Manuel Heredia, and Jon Lesniak. "OS03W0354 Hybrid thermal methods in experimental stress analysis." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2003.2 (2003): _OS03W0354. http://dx.doi.org/10.1299/jsmeatem.2003.2._os03w0354.

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28

Barone, Gianluca, Selanna Roccella, Emanuela Martelli, and Eliseo Visca. "DTT Thermal Shield: Preliminary thermal analysis." Fusion Engineering and Design 158 (September 2020): 111725. http://dx.doi.org/10.1016/j.fusengdes.2020.111725.

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29

Chiu, Jen. "Thermal analysis of high polymers: Differential thermal analysis and dynamic electrothermal analysis." Journal of Polymer Science Part C: Polymer Symposia 8, no. 1 (March 7, 2007): 27–40. http://dx.doi.org/10.1002/polc.5070080104.

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30

Saidpatil, Prof Vishal, and Prof S. M. Jadhav Prof. S. M. Jadhav. "Thermal Analysis of Low Prssure Boiler Drum (Pressure Vessel) Using Finite Element Analysis." Indian Journal of Applied Research 3, no. 9 (October 1, 2011): 248–50. http://dx.doi.org/10.15373/2249555x/sept2013/74.

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31

Logachevsky, Ivan A. "THERMAL IMAGE ANALYSIS." SOFT MEASUREMENTS AND COMPUTING 8, no. 57 (2022): 18–30. http://dx.doi.org/10.36871/2618-9976.2022.08.002.

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The equipment of thermal stations and heating networks, which is subject to corrosion and is often far from new, loses its original characteristics over time. Such processes, potentially leading to heat losses and coolant leaks, can lead to significant financial and environmental consequences. Infrared thermography is one of the effective problemsolving methods that helps to detect defects and reduce risks. This article discusses some details of the current project for the analysis of thermal images using convolutional neural networks.

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32

Cebulak, S., B. Smieja-Król, S. Duber, M. Misz, and A. W. Morawski. "Oxyreactive thermal analysis." Journal of Thermal Analysis and Calorimetry 77, no. 1 (2004): 201–6. http://dx.doi.org/10.1023/b:jtan.0000033204.53768.bb.

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33

Wittkopf, H., H. J. Flammersheim, and L. Herlitze. "Thermal desorption analysis:." Journal of Thermal Analysis 33, no. 1 (March 1988): 253–58. http://dx.doi.org/10.1007/bf01914608.

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34

Gotzen.ir, Nicolaas-Alexander, and Guy Van Assche. "Nano-Thermal Analysis." Imaging & Microscopy 9, no. 2 (June 2007): 33–34. http://dx.doi.org/10.1002/imic.200790144.

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35

PERVEZ, Sardar Hamza, Muhammad Ali KAMRAN, Sallahuddin MİR, Abdul AHAD, Muhammad Alam Zaıb KHAN, and Muhammad FAIQ. "Development and performance analysis of hybrid photovoltaic/thermal (PV/T) system." Journal of Thermal Engineering 7, no. 14 (December 30, 2021): 1936–44. http://dx.doi.org/10.18186/thermal.1051272.

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36

ALOK, Praveen, and Debjyoti SAHU. "Numerical analysis of a two-phase injection refrigeration cycle using R32." Journal of Thermal Engineering 8, no. 2 (March 11, 2022): 157–68. http://dx.doi.org/10.18186/thermal.1077857.

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37

Boonsu, R., S. Sukchai, S. Hemavibool, and S. Somkun. "Performance Analysis of Thermal Energy Storage Prototype in Thailand." Journal of Clean Energy Technologies 4, no. 2 (2015): 101–6. http://dx.doi.org/10.7763/jocet.2016.v4.261.

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38

Djurdjevic, Mile B., Iban Vicario, and Gerhard Huber. "Review of thermal analysis applications in aluminium casting plants." Revista de Metalurgia 50, no. 1 (March 30, 2014): e004. http://dx.doi.org/10.3989/revmetalm.004.

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39

HASAN, Md Kamrul, and Katsuhiko SASAKI. "301 Thermal Deformation Analysis of Solar Cells Considering Thermal Profiles of both Manufacturing and Working Processes." Proceedings of the Materials and processing conference 2013.21 (2013): _301–1_—_301–5_. http://dx.doi.org/10.1299/jsmemp.2013.21._301-1_.

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40

Karakurt, A. Sinan. "PERFORMANCE ANALYSIS OF A STEAM TURBINE POWER PLANT AT PART LOAD CONDITIONS." Journal of Thermal Engineering 3, no. 2 (April 1, 2017): 1121. http://dx.doi.org/10.18186/thermal.298611.

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41

"Thermal analysis of Solar dryer." International Journal of Current Engineering and Technology, January 1, 2011. http://dx.doi.org/10.14741/ijcet/22774106/spl.5.6.2016.51.

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42

"Structural and Thermal Analysis of Piston." International Journal of Current Engineering and Technology, January 1, 2011. http://dx.doi.org/10.14741/ijcet/22774106/spl.5.6.2016.5.

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43

AKRAM, Wasim, Mohd PARVEZ, and Osama KHAN. "Parametric analysis of solar-assisted trigeneration system based on energy and exergy analyses." Journal of Thermal Engineering, May 22, 2023, 764–75. http://dx.doi.org/10.18186/thermal.1300538.

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Rapid deterioration of environment has led researchers to explore feasible forms of energy which could produce multiple energy forms with minimum inputs. Hence, in this study a nov-el trigeneration setup is explored so as to achieve simultaneous forms of energy in the form of electrical energy, heating and cooling, driving its primary energy requirements through a solar power tower. Molten salt is used in this study to transfer the heat from the solar component to the vapor absorption apparatus. Further the vapor absorption system is tested for thermody-namic performance for a couple of refrigerants (LiNO3-H2O and LiBr-H2O), so as to establish the Pareto-optimal fluid among them. In order to remove any adherent error in the measuring procedure, all equipment’s uncertainty analysis was performed which was negligibly small approximately at 5.34 % in terms of power plant efficiencies. An exact analysis was performed so as to estimate energy and exergy in efficiencies in the equipment while varying input pa-rameters. Zenith exergy destruction was achieved in 33.6% by the central receiver, followed by 24.9% by heliostat, and 7.8% in heat recovery steam generator. The highest energy and exergy efficiencies (62.6% and 20.6%) are attained on system working on LiBr-H2O, whereas (60.9% and 19.6%) were obtained in LiNO3-H2O operated system.

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44

-, Mrunmayee Kulkarni, Malhar Kulkarni -, Advait Kondra -, and Vijay Kulal -. "Thermal Analysis of Fin: Comparative Thermal Analysis." International Journal For Multidisciplinary Research 5, no. 5 (October 7, 2023). http://dx.doi.org/10.36948/ijfmr.2023.v05i05.6976.

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The fins are extended surfaces that are made to increase the rate of heat transfer through the equipment/components. Generally, they are used for faster cooling of the equipment/components. The comparative thermal analysis of rectangular fin and porous fin is done in the paper. Both the fins are subjected to the same conditions i.e., both the fins have the same room temperature, have the same dimensions, and are exposed to the same surrounding conditions i.e., the flow of air over the fins, the ambient temperature of the fins, etc. Of course, for calculations, some assumptions are made. The heat transfer rate from both fins is calculated and compared. The efficiency of fins and effectiveness are calculated and compared. The temperature distribution graph for the rectangular fin is plotted in Excel. The modeling software Solidworks is used to model rectangular non-porous fin and rectangular porous fins. The thermal analysis of both the fins is done in the software called Simscale.

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45

"Thermal analysis of dry whey and lactose." Milk branch magazine, no. 7 (June 17, 2019): 36–39. http://dx.doi.org/10.33465/2222-5455-2019-7-36-39.

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46

"Modeling and Thermal Analysis of Compression Coupling." International Journal of Science and Research (IJSR) 4, no. 12 (December 5, 2015): 2218–22. http://dx.doi.org/10.21275/v4i12.nov152336.

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47

"THERMAL ANALYSIS OF A GAS TURBINE BLADE." International Journal of Modern Trends in Engineering & Research 3, no. 8 (August 22, 2016): 77–89. http://dx.doi.org/10.21884/ijmter.2016.3011.mypsy.

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48

SALHI, Hicham, Abdelmounaim HADJIRA, and Basharat JAMIL. "Statistical analysis of the solar diffuse fraction radiation using regression analysis of longitudinal data in India." Journal of Thermal Engineering, May 22, 2023, 776–85. http://dx.doi.org/10.18186/thermal.1300542.

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In this study, the validity of the estimation of a single regression equation for the diffuse frac-tion across 22 stations in India using the two parameters: the clearness index and the sunshine ratio is tested. The homogeneity test based on Fisher’s statistics was applied to test the homo-geneity of the estimated parameters across all stations. The results showed that the p-value at the level of 5% for each model is smaller than 0.05, indicating that all stations were heteroge-neous. The Hierarchical Cluster Analysis (HCA) was used to classify the data into homoge-nous clusters. The results of HCA indicated that the longitudinal data were divided into four main clusters. For each cluster, the regression analysis was applied based on the longitudinal data then, the fixed effects model (FEM) and the random-effects model (REM) were used for the evaluation. Further, the Hausman test was applied to choose between the fixed effects model and the random-effects model. Finally, the results showed that the four best regression models were found for the selected stations in the study area.

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49

"Thermal analysis." Choice Reviews Online 28, no. 07 (March 1, 1991): 28–3908. http://dx.doi.org/10.5860/choice.28-3908.

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50

"Thermal Analysis." Analytical Chemistry 59, no. 3 (February 1987): 189A. http://dx.doi.org/10.1021/ac00130a754.

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