Thermoelastic Bresse system with dual-phase-lag model

2021 ◽  
Vol 72 (3) ◽  
Author(s):  
Noelia Bazarra ◽  
Ivana Bochicchio ◽  
José R. Fernández ◽  
Maria Grazia Naso
Keyword(s):  
Phase Lag ◽  
Dual Phase ◽  
Bresse System ◽  
Lag Model

The initial stress effect on a thermoelastic micro-elongated solid under the dual-phase-lag model

2021 ◽  
Vol 127 (9) ◽  
Author(s):  
Mohamed I. A. Othman ◽  
Sarhan Y. Atwa ◽  
Ebtesam E. M. Eraki ◽  
Mohamed F. Ismail
Keyword(s):  
Initial Stress ◽  
Stress Effect ◽  
Phase Lag ◽  
Dual Phase ◽  
Lag Model

Piezothermoelasticity in an infinite slab within the dual-phase-lag model

2020 ◽  
Vol 94 (12) ◽  
pp. 1917-1929
Author(s):  
Ethar A. A. Ahmed ◽  
M. S. Abou-Dina
Keyword(s):  
Phase Lag ◽  
Dual Phase ◽  
Infinite Slab ◽  
Lag Model

Effect of gravity on piezo-thermoelasticity within the dual-phase-lag model

2018 ◽  
Vol 25 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Ethar A. A. Ahmed ◽  
M. S. Abou-Dina ◽  
A. R. El Dhaba
Keyword(s):  
Phase Lag ◽  
Dual Phase ◽  
Lag Model

Inverse Estimation of Cooling Heat Flux in Spray Cooling of Hot Surface Based on Dual-Phase-Lag Model

2019 ◽  
Vol 17 (09) ◽  
pp. 1950069
Author(s):  
Wen-Lih Chen ◽  
Kuo-Chi Liu ◽  
Yu-Ching Yang ◽  
Haw-Long Lee ◽  
Win-Jin Chang
Keyword(s):  
Heat Flux ◽  
Inverse Analysis ◽  
Spray Cooling ◽  
Phase Lag ◽  
Dual Phase ◽  
Random Errors ◽  
Analysis Technique ◽  
Lag Model ◽  
Measurement Location ◽  
Hot Surface

An inverse analysis technique based on the conjugate gradient method (CGM) and the discrepancy principle is employed to estimate the time-wise variation of the unknown cooling heat flux in the spray cooling of a hot surface. In contrast to previous studies, the heat conduction equation of the cooled surface is formulated using a dual-phase-lag (DPL) model. In addition, no assumptions are made regarding the functional form of the cooling heat flux. The simulation data required to conduct the inverse analysis are generated by adding random errors to the calculated exact temperatures at the boundaries and interior of the hot body. The validity of the inverse solutions is demonstrated numerically by means of two illustrative examples. Moreover, the sensitivity of the estimation results to the measurement error and measurement location is systematically explored. Overall, the results show that the proposed method provides a robust and accurate approach for estimating the unknown time-dependent cooling heat flux in typical industrial spray cooling applications.

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