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Journal articles on the topic 'Thermal time'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Skach, Matt, Manish Arora, Chang-Hong Hsu, et al. "Thermal time shifting." ACM SIGARCH Computer Architecture News 43, no. 3S (2016): 439–49. http://dx.doi.org/10.1145/2872887.2749474.

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2

Shimokusu, Trevor J., Qing Zhu, Natan Rivera, and Geoff Wehmeyer. "Time-periodic thermal rectification in heterojunction thermal diodes." International Journal of Heat and Mass Transfer 182 (January 2022): 122035. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2021.122035.

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3

Arora, D., M. Skliar, and R. B. Roemer. "Minimum-Time Thermal Dose Control of Thermal Therapies." IEEE Transactions on Biomedical Engineering 52, no. 2 (2005): 191–200. http://dx.doi.org/10.1109/tbme.2004.840471.

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4

Marshalov, Е. D., A. N. Nikonorov, and I. K. Muravyov. "Determination of thermal response time of thermal resistance transducers." Vestnik IGEU, no. 3 (2017): 54–59. http://dx.doi.org/10.17588/2072-2672.2017.3.054-059.

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5

Düber, Stephan, Raul Fuentes, and Guillermo A. Narsilio. "Using thermal response factors with time dependent thermal properties." Geothermics 119 (May 2024): 102957. http://dx.doi.org/10.1016/j.geothermics.2024.102957.

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6

del Monte, J. P., P. L. Aguado, and A. M. Tarquis. "Thermal time model ofSolanum sarrachoidesgermination." Seed Science Research 24, no. 4 (2014): 321–30. http://dx.doi.org/10.1017/s0960258514000221.

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AbstractA population-based modelling approach was used to predict the occurrence of germination inSolanum sarrachoides(SOLSA) for different treatments. Seeds collected in Toledo (Spain) were exposed to constant temperatures, to temperatures alternating between 10 and 30°C and to gibberellins (GAs; 0, 50, 100, 150 and 1000 ppm) during a 24-h imbibition period. The following parameters were measured: base temperature (Tb), mean thermal time (θT(50)) and the standard deviation of thermal time (σθT). The SOLSA seeds only germinated at constant temperatures when the highest GA concentration was app

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7

Esman, R. D., and D. L. Rode. "Semiconductor‐laser thermal time constant." Journal of Applied Physics 59, no. 2 (1986): 407–9. http://dx.doi.org/10.1063/1.336644.

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8

TRUDGILL, D. L., A. HONEK, D. LI, and N. M. STRAALEN. "Thermal time - concepts and utility." Annals of Applied Biology 146, no. 1 (2005): 1–14. http://dx.doi.org/10.1111/j.1744-7348.2005.04088.x.

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9

Borghi, Claudio. "Physical Time and Thermal Clocks." Foundations of Physics 46, no. 10 (2016): 1374–79. http://dx.doi.org/10.1007/s10701-016-0030-y.

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10

Hüttner, Bernd. "Is thermal conductivity time-dependent?" physica status solidi (b) 245, no. 12 (2008): 2786–90. http://dx.doi.org/10.1002/pssb.200844182.

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11

Skliarov, P. М., C. C. Pérez-Marín, V. H. Petrusha, O. V. Onyshchenko, S. Y. Fedorenko, and D. V. Kibkalo. "Determining the optimal time of insemination of goats using a thermal imager." Theoretical and Applied Veterinary Medicine 10, no. 2 (2022): 3–8. http://dx.doi.org/10.32819/2022.10006.

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12

Khafizov, Marat, and David H. Hurley. "Measurement of thermal transport using time-resolved thermal wave microscopy." Journal of Applied Physics 110, no. 8 (2011): 083525. http://dx.doi.org/10.1063/1.3653829.

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13

Boglietti, Aldo, Enrico Carpaneto, Marco Cossale, and Silvio Vaschetto. "Stator-Winding Thermal Models for Short-Time Thermal Transients: Definition and Validation." IEEE Transactions on Industrial Electronics 63, no. 5 (2016): 2713–21. http://dx.doi.org/10.1109/tie.2015.2511170.

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14

Jaljal, N., J. F. Trigeol, and P. Lagonotte. "Reduced Thermal Model of an Induction Machine for Real-Time Thermal Monitoring." IEEE Transactions on Industrial Electronics 55, no. 10 (2008): 3535–42. http://dx.doi.org/10.1109/tie.2008.2003196.

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15

Desirena-López, G., A. Ramírez-Treviño, J. L. Briz, C. R. Vázquez, and D. Gómez-Gutiérrez. "Thermal-aware Real-time Scheduling Using Timed Continuous Petri Nets." ACM Transactions on Embedded Computing Systems 18, no. 4 (2019): 1–24. http://dx.doi.org/10.1145/3322643.

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16

Fartash, Amir Hossein, and Esmaeil Poursaeidi. "Thermal analysis of thermal barrier coating systems under transient and time harmonic thermal loads." Applied Thermal Engineering 208 (May 2022): 118225. http://dx.doi.org/10.1016/j.applthermaleng.2022.118225.

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17

Somogyvári, Márk, Peter Bayer, and Ralf Brauchler. "Travel-time-based thermal tracer tomography." Hydrology and Earth System Sciences 20, no. 5 (2016): 1885–901. http://dx.doi.org/10.5194/hess-20-1885-2016.

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Abstract. Active thermal tracer testing is a technique to get information about the flow and transport properties of an aquifer. In this paper we propose an innovative methodology using active thermal tracers in a tomographic setup to reconstruct cross-well hydraulic conductivity profiles. This is facilitated by assuming that the propagation of the injected thermal tracer is mainly controlled by advection. To reduce the effects of density and viscosity changes and thermal diffusion, early-time diagnostics are used and specific travel times of the tracer breakthrough curves are extracted. These

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18

Grimmer, Daniel, Robert B. Mann, and Eduardo Martín-Martínez. "Thermal contact: mischief and time scales." Journal of Physics A: Mathematical and Theoretical 52, no. 39 (2019): 395305. http://dx.doi.org/10.1088/1751-8121/ab3a19.

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19

Daly, Steven F. "Thermal Ice Growth: Real-Time Estimation." Journal of Cold Regions Engineering 12, no. 1 (1998): 11–28. http://dx.doi.org/10.1061/(asce)0887-381x(1998)12:1(11).

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20

Sosna, C., T. Walter, and W. Lang. "Response time of thermal flow sensors." Procedia Engineering 5 (2010): 524–27. http://dx.doi.org/10.1016/j.proeng.2010.09.162.

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21

Sieniutycz, Stanislaw, and Michael R. von Spakovsky. "Finite time generalization of thermal exergy." Energy Conversion and Management 39, no. 14 (1998): 1423–47. http://dx.doi.org/10.1016/s0196-8904(98)00023-5.

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22

Ahn, Youngwoo, and Riccardo Bettati. "Thermal effects on real-time systems." ACM SIGBED Review 5, no. 1 (2008): 1–2. http://dx.doi.org/10.1145/1366283.1366312.

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23

Trevisan, Marı́a Cristina, and Miguel H. Ibáñez S. "Nonlinear time evolution of thermal structures." Physics of Plasmas 7, no. 3 (2000): 897–905. http://dx.doi.org/10.1063/1.873887.

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24

Kowalski, Kenneth L. "Real-time fermion thermal field theories." Physical Review D 35, no. 8 (1987): 2415–22. http://dx.doi.org/10.1103/physrevd.35.2415.

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25

van Gemert, Martin J. C., and A. J. Welch. "Time constants in thermal laser medicine." Lasers in Surgery and Medicine 9, no. 4 (1989): 405–21. http://dx.doi.org/10.1002/lsm.1900090414.

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26

Takahara, Fumia. "Time Development of Relativistic Thermal Plasmas." Publications of the Astronomical Society of Japan 40, no. 5 (1988): 499–510. https://doi.org/10.1093/pasj/40.5.499.

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Abstract Time development of an impulsively heated plasma, first studied by Guilbert and Stepney (1985; AAA 39.062.002), is investigated numerically for plane-parallel and spherical geometries. For an initial proton temperature of 0.03–0.1 mpc2 and a pair-free optical thickness to the Thomson scattering of order unity, electron-positron pairs are produced on the time scale of about 10 times the initial Thomson time and the optical thickness becomes 5–20 times the initial thickness at the maximum, roughly proportional to the initial proton temperature. The subsequent evolution is governed by th

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27

Gemert, Martin J. C. van, Gerald W. Lucassen, and A. J. Welch. "Time constants in thermal laser medicine: II. Distributions of time constants and thermal relaxation of tissue." Physics in Medicine and Biology 41, no. 8 (1996): 1381–99. http://dx.doi.org/10.1088/0031-9155/41/8/009.

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28

Hlaváč, P., M. Božiková, Z. Hlaváčová, and K. Kardjilova. "Changes in selected wine physical properties during the short-time storage." Research in Agricultural Engineering 62, No. 3 (2016): 147–53. http://dx.doi.org/10.17221/7/2015-rae.

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This article is focused on the effect of temperature and short-term storage on the physical properties of wine made in Slovakia. All measurements were performed during temperature manipulation in the temperature interval approximately from 0°C to 30°C. Two series of rheologic and thermal parameters measurements and one of electric parameter were done. First measurement was done at the beginning of storage and then the same sample was measured after a short storage. Temperature relations of rheologic parameters and electric conductivity were characterized by exponential functions, which is in g

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29

Martinetti, Pierre. "Emergence of Time in Quantum Gravity: Is Time Necessarily Flowing?" Kronoscope 13, no. 1 (2013): 67–84. http://dx.doi.org/10.1163/15685241-12341259.

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Abstract We discuss the emergence of time in quantum gravity and ask whether time is always “something that flows.” We first recall that this is indeed the case in both relativity and quantum mechanics, although in very different manners: time flows geometrically in relativity (i.e., as a flow of proper time in the four dimensional space-time), time flows abstractly in quantum mechanics (i.e., as a flow in the space of observables of the system). We then ask the same question in quantum gravity in the light of the thermal time hypothesis of Connes and Rovelli. The latter proposes to answer the

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30

Evans, T. S. "New time contour for equilibrium real-time thermal field theories." Physical Review D 47, no. 10 (1993): R4196—R4198. http://dx.doi.org/10.1103/physrevd.47.r4196.

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31

Gombos, Béla, and Ibolya Simon-Kiss. "Bilinear thermal time models for predicting flowering time of rice." Cereal Research Communications 33, no. 2-3 (2005): 569–76. http://dx.doi.org/10.1556/crc.33.2005.2-3.121.

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32

Bartz, Alex Cristiano, Martina Muttoni, Cleber Maus Alberto, et al. "Thermal time in sprinkler-irrigated lowland rice." Pesquisa Agropecuária Brasileira 52, no. 7 (2017): 475–84. http://dx.doi.org/10.1590/s0100-204x2017000700001.

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Abstract: The objective of this work was to evaluate methods of thermal time calculation and the duration of the development stages of lowland rice (Oryza sativa) irrigated by sprinkling. The experiment was conducted during three growing seasons (2010/2011, 2011/2012, and 2014/2015), with five irrigation water depths, six cultivars, and four replicates. Six methods of thermal time calculation were tested: two using the minimum basal temperature; two using the minimum and optimum temperatures; and two using the minimum, optimum, and maximum basal temperatures. For the thermal time calculation,

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33

Kim, Yong Seok, Dong Keun Lee, Jeong Min Lee, et al. "A Study on Thermal Fatigue Life Variation According to Thermal Exposure Time." Applied Mechanics and Materials 598 (July 2014): 276–80. http://dx.doi.org/10.4028/www.scientific.net/amm.598.276.

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Thermal barrier coating. Thermal fatigue. Exposure time. Thermal fatigue test is one of the most widely used method to evaluate the durability of thermal barrier coating (TBC). However, thermal fatigue test can be concluded in totally different results according to the test variations. Especially, Exposure time of thermal fatigue test can affect the delamination life cycle of TBC. In this study, using the same test equipment which Kim et al. used, thermal fatigue tests were performed with different holding time at high temperature, and the test results by Kim et al. and those by this study wer

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34

Li, Min, Mingzhong Li, Zhenguo Wang, et al. "Theoretical modeling and experimental investigations of the effective thermal equilibrium time for Yb:YAG crystal." Chinese Optics Letters 13, Suppl. (2015): S21412. http://dx.doi.org/10.3788/col201513.s21412.

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35

Nazarov, K. M. "STUDY OF WATER INFILTRATION INTO CEMENT-BASED MORTARS USING REAL-TIME THERMAL NEUTRON RADIOGRAPHY." Eurasian Physical Technical Journal 17, no. 1 (2020): 39–45. http://dx.doi.org/10.31489/2020no1/39-45.

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36

Wanaskar, Aditya Murlidhar. "Thermal Equilibrium Time Study Apparatus Using Arduino." International Journal for Research in Applied Science and Engineering Technology 13, no. 6 (2025): 643–47. https://doi.org/10.22214/ijraset.2025.71989.

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Knowing how heat passes from one object to another is an important aspect of learning about physics, and the concept of thermal equilibrium, where two bodies reach the same temperature and do not exchange heat anymore. We designed a basic and cost-efficient thermal equilibrium laboratory setup using an Arduino to simplify this concept in order to better observe and conduct research on it. The main objective of this project is to create a practical learning device that demonstrates thermal equilibrium in real time. This may be helpful in school labs or small experiments to demonstrate to studen

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37

Ford, D. G., S. R. Postlethwaite, J. P. Allen, and M. D. Blake. "Compensation algorithms for the real-time correction of time and spatial errors in a vertical machining centre." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 214, no. 3 (2000): 221–34. http://dx.doi.org/10.1243/0954405001517603.

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This paper describes research into a machine tool error compensation system for universal application. Based on an indirect identification precalibrated technique, it utilizes a unique algorithm, which allows the compensation system to compensate for the geometric error components of any normal orthogonal machine tool configuration. The movement and position of the machine tool axes can affect individual machine tool axis error components (such as yaw, pitch, roll and straightness). The level of this axis coupling is dependent on the machine tool configuration and the rigidity of the machine t

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38

Li, Cheng, Qi Chen, Feilong Zhang, et al. "Under-FET Thermal Sensor Enabling Smart Full-Chip Run-Time Thermal Management." IEEE Journal of the Electron Devices Society 8 (2020): 1242–48. http://dx.doi.org/10.1109/jeds.2020.3022730.

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39

Ting-Yuan Wang and Charlie Chung-Ping Chen. "3-D Thermal-ADI: a linear-time chip level transient thermal simulator." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 21, no. 12 (2002): 1434–45. http://dx.doi.org/10.1109/tcad.2002.804385.

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40

Huang, Han-Wei, Wen-Chi Wang, and Chou-Ching K. Lin. "Influence of age on thermal thresholds, thermal pain thresholds, and reaction time." Journal of Clinical Neuroscience 17, no. 6 (2010): 722–26. http://dx.doi.org/10.1016/j.jocn.2009.10.003.

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41

Chen, T. Y. "Real-time predictive supervisory operation of building thermal systems with thermal mass." Energy and Buildings 33, no. 2 (2001): 141–50. http://dx.doi.org/10.1016/s0378-7788(00)00078-5.

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42

Baesso, M. L., J. Shen, and R. D. Snook. "Time-resolved thermal lens measurement of thermal diffusivity of soda—lime glass." Chemical Physics Letters 197, no. 3 (1992): 255–58. http://dx.doi.org/10.1016/0009-2614(92)85764-2.

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43

Liu, Hang, Eun Kyung Lee, Dario Pompili, and Xiangwei Kong. "Thermal camera networks for large datacenters using real-time thermal monitoring mechanism." Journal of Supercomputing 64, no. 2 (2012): 383–408. http://dx.doi.org/10.1007/s11227-012-0781-y.

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44

Hao, Menglong, and Timothy S. Fisher. "High-throughput transient thermal interface testing method using time-domain thermal response." International Journal of Heat and Mass Transfer 127 (December 2018): 228–33. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2018.07.081.

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45

I.Kobasko, Nikolai. "Thermal Waves, Thermal Diffusivity and Possibility of Relaxation Time of Materials Evaluation." International Journal of Applied Physics 6, no. 3 (2019): 66–73. http://dx.doi.org/10.14445/23500301/ijap-v6i3p111.

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46

Cowling, I. D., S. Willcox, Y. Patel, P. Smith, and M. Roberts. "Increasing persistence of UAVs and MAVs through thermal soaring." Aeronautical Journal 113, no. 1145 (2009): 479–89. http://dx.doi.org/10.1017/s0001924000003146.

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Abstract This work looks to harness atmospheric energy through thermal soaring to optimise the flight persistence of Micro Air Vehicles (MAVs) and Unmanned Air Vehicles (UAVs). There are two key challenges when considering thermal soaring, the first being the locating of thermals and the second being the extraction of the maximum potential energy from the thermals. Thermal location is by no means an exact science with experienced glider pilots needing to consider many factors to improve the probability of encountering a thermal. As thermals are caused by the uneven heating of the Earth’s surfa

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47

Aryasova, O., and Ya Khazan. "Characteristic time of thermal and diffusional relaxation." Geofizicheskiy Zhurnal 37, no. 6 (2017): 99–104. http://dx.doi.org/10.24028/gzh.0203-3100.v37i6.2015.111174.

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48

Cahill, David G. "Thermal-conductivity measurement by time-domain thermoreflectance." MRS Bulletin 43, no. 10 (2018): 782–89. http://dx.doi.org/10.1557/mrs.2018.209.

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49

Hurley, David H., Subhash L. Shinde, and Vitalyi E. Gusev. "Lateral Looking Time-Resolved Thermal Wave Microscopy." Journal of the Korean Physical Society 57, no. 2(1) (2010): 384–88. http://dx.doi.org/10.3938/jkps.57.384.

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50

SAKURAI, Yasumasa, Hideki IWAI, Yuji SASAKI, and Minoru HIRANO. "Development of Real-time Thermal Displacement Compensation." Proceedings of The Manufacturing & Machine Tool Conference 2016.11 (2016): C28. http://dx.doi.org/10.1299/jsmemmt.2016.11.c28.

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