2022
DOI: 10.1016/j.ijthermalsci.2021.107285
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A comprehensive experimental and numerical estimation of thermal contact conductance

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Cited by 25 publications
(9 citation statements)
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“…These findings demonstrate that the developed code is able to accurately model the heat transfer during periodic contact and is in good agreement with previous experimental and analytical results. In Figure 6, the validation results of the developed code are presented, including comparison with published results by Tariq and Asif [44]and Parikh et al [31] for SS 304 (k = 16.05 W/mK) contact material at a nominal pressure of P=5 MPa and surface roughness of Ra=1.83 µm. The comparison of temperature profiles generated by the code and experimental results [44] showed an average percentage error of only 0.81%.…”
Section: Validation Of Modelmentioning
confidence: 93%
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“…These findings demonstrate that the developed code is able to accurately model the heat transfer during periodic contact and is in good agreement with previous experimental and analytical results. In Figure 6, the validation results of the developed code are presented, including comparison with published results by Tariq and Asif [44]and Parikh et al [31] for SS 304 (k = 16.05 W/mK) contact material at a nominal pressure of P=5 MPa and surface roughness of Ra=1.83 µm. The comparison of temperature profiles generated by the code and experimental results [44] showed an average percentage error of only 0.81%.…”
Section: Validation Of Modelmentioning
confidence: 93%
“…The comparison of temperature profiles generated by the code and experimental results [44] showed an average percentage error of only 0.81%. Moreover, the code has undergone validation through comparison with published results by Parikh et al [31] , where it demonstrated an average percentage error of 0.88%. These results provide further validation for the performance of the developed code, and demonstrate its capability in accurately modeling heat transfer.…”
Section: Validation Of Modelmentioning
confidence: 98%
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“…Muitos trabalhos, especialmente nesta última década, se dedicaram na proposta de metodologias experimentais de condutância térmica de contato [11][12][13][14], em aplicações e na sua identificação envolvendo a solução de problemas inversos, que tipicamente são resolvidos por meio de abordagens analíticas e Bayesianas. Os primeiros, tem sua solução obtida por meio de métodos que não envolvem uma análise sob incerteza das estimativas e dos demais parâmetros presentes nos modelos utilizados, como métodos envolvendo gradiente conjugado ou funcionais de reciprocidade [2,[15][16][17][18][19][20][21][22][23][24]. Entre as abordagens envolvendo técnicas Bayesianas [3,7,25], que permitem análise sob incerteza, foram consideradas estimativas e análises apenas em funções com variação espacial da condutância térmica de contato.…”
Section: Introductionunclassified