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Correlations for mass transfer estimation have been derived and are in agreement with the literature.
The accuracy of heat transfer estimation has been improved with new models that require precise prediction of pattern transitions of flow.
Interphase mass transfer estimation may require not only the accurate knowledge of the interfacial area, which depends on the information about the size of each dispersed element, but also on the driving force, that can be different if the elements of the disperse phase have different chemical composition.
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Heat transfer coefficient estimation was based on heat energy balance between the oil and sample during frying.
Using the measured results, the friction factor for each pipe element was calculated and a procedure for transfer rate estimation was developed.
A new effective way of transfer function estimation and interpretation is presented by considering the input wave number spectrum in addition to the commonly used input frequency spectrum.
This approach allows transfer function estimation even if the number of sources is greater than the number of microphones, and it can operate for both wideband and narrowband sources.
The primary focus of this paper is on the heat transfer parameter estimation for a two-dimensional unsteady heat conduction problem with (a) convection boundary condition and (b) convection and radiation boundary condition.
Although heat transfer coefficient estimation for a multi-phase and multi-component fluid in the cryogenic temperature range is necessarily required in the heat exchanger design of mixed refrigerant Joule Thomson refrigerators, it has been rarely discussed so far.
Finally, the proposed identification method is applied to three rubber isolators up to 2 kHz, and transfer stiffness estimations are successfully compared with data measured on a commercial test machine for axial motions up to 1 kHz.
We do not know the "real" rate of false positives, however, the significance levels and the total number of inferred transfers provide estimations and upper bounds for the number of false positives, respectively.
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