Thermal performance of thin film heat gauges of gold, silver and nano-composite
Created by W.Langdon from
gp-bibliography.bib Revision:1.8110
- @Article{SARMA:2019:ATE,
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author = "Shrutidhara Sarma and Ankit Goyal and Liang Gao and
Xiaodong Niu and Akhil Garg and Xu Meijuan and
Jayne Sandoval",
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title = "Thermal performance of thin film heat gauges of gold,
silver and nano-composite",
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journal = "Applied Thermal Engineering",
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volume = "147",
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pages = "545--550",
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year = "2019",
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keywords = "genetic algorithms, genetic programming, Thin film
gauge, Heat fluxes, Temperature distribution,
Composites temperature gauges, Analytical modeling",
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ISSN = "1359-4311",
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DOI = "doi:10.1016/j.applthermaleng.2018.10.079",
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URL = "http://www.sciencedirect.com/science/article/pii/S1359431118355571",
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abstract = "Thin film materials along with nanotechnology can be a
useful tool to efficiently estimate the surface heat
flux. The advancement of soft computing methods can
also be used for automated estimation of thermal
performances of various heat gauges. Thus, in this
study, thin film gauges (TFG) made from Ag, Au, CNT/Ag
nano-composite topped on insulating substrate have been
tested experimentally under impulsive heat loads from
laser. The fabrication of TFGs was done using paint
method and physical vapor deposition. The fabricated
TFGs were calibrated first and then surface heat fluxes
were calculated analytically from temperature history
by using one-dimensional heat conduction theory applied
on semi-infinite solids. The advanced soft computing
methods viz. Adaptive Neuro Fuzzy Inference System
(ANFIS) and Genetic Programming (GP) were used to
estimate heat fluxes for these three TFGs. The
statistical evaluation of GP with ANFIS models on the
heat flux experimental database reveals that the ANFIS
models have performed better in predicting the peak
heat fluxes whereas the GP models have performed better
in capturing the trend of heat fluxes. This combined
approach paved a way to automated estimation of heat
fluxes for industrial applications",
-
keywords = "genetic algorithms, genetic programming, Thin film
gauge, Heat fluxes, Temperature distribution,
Composites temperature gauges, Analytical modeling",
- }
Genetic Programming entries for
Shrutidhara Sarma
Ankit Goyal
Liang Gao
Xiaodong Niu
Akhil Garg
Xu Meijuan
Jayne Sandoval
Citations