1996
DOI: 10.1016/0017-9310(96)00015-4
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Theory of transient experimental techniques for surface heat transfer

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Cited by 100 publications
(39 citation statements)
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“…Inasmuch as thermal boundary conditions such as a time-varying heat¯ux (q(t)) are dif®cult to measure directly, indirect techniques using internal temperature measurements are often used [24]. With these techniques, an inverse heat conduction problem (IHCP) is solved to estimate the boundary condition from internal temperature measurements.…”
Section: Heat Removal Estimationmentioning
confidence: 99%
“…Inasmuch as thermal boundary conditions such as a time-varying heat¯ux (q(t)) are dif®cult to measure directly, indirect techniques using internal temperature measurements are often used [24]. With these techniques, an inverse heat conduction problem (IHCP) is solved to estimate the boundary condition from internal temperature measurements.…”
Section: Heat Removal Estimationmentioning
confidence: 99%
“…Tunnell et al (2002) provided a detailed discussion on the accuracy of this method as applied to CSC. Independent of the IHC algorithm, measured temperature data are smoothed by a digital filter (Taler 1996, Aguilar et al 2003b to remove random noise. Aguilar et al (2003bAguilar et al ( , 2003c have shown the effect of spurt duration ( t) and z on CSC when T 0 was room temperature (∼20 • C).…”
Section: Mathematical Model and Inverse Heat-transfer Algorithmmentioning
confidence: 99%
“…Furthermore, as the thermal penetration depth during the experimental run times is small compared to the linear dimension of the thermal sensor, the system can be modeled by considering unsteady, linear conduction of heat in a onedimensional semi-infinite solid [20]. In order to use (2), it is desirable to have a closed form solution of transient temperature data obtained from the captured experimental signals [10].…”
Section: Heat Fluxmentioning
confidence: 99%
“…As an outcome of this experiment, presently, using E-type thermocouple is seen to have thermal product of 9493 J⋅m −2 ⋅K −1 ⋅s −0.5 . Generally, for such short duration time scale applications, heat transfer rates can be recovered from the transient temperature data, through the use of appropriate modeling of (2) with assumption of one-dimensional heat conduction [19,20]:…”
Section: Heat Fluxmentioning
confidence: 99%