Advanced Computational Methods in Mechanical and Materials Engineering 2021
DOI: 10.1201/9781003202233-13
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Thermal Contact Conductance Prediction Using FEM-Based Computational Techniques

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Cited by 9 publications
(6 citation statements)
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“…In future the study can be extended to use of advanced tools ANN, fuzzy logic to analyse flow sensors application in buildings [63][64][65][66], advanced coating materials for photo voltaic applications and their thermal contact conductance analysis for roof-top solar plants & window paneling [67][68][69][70], nano techniques for energy conversion and storage devices with special emphasis on high performance piezoelectric nanogenerator for energy harvesting [71,72] in sustainable buildings.…”
Section: Discussionmentioning
confidence: 99%
“…In future the study can be extended to use of advanced tools ANN, fuzzy logic to analyse flow sensors application in buildings [63][64][65][66], advanced coating materials for photo voltaic applications and their thermal contact conductance analysis for roof-top solar plants & window paneling [67][68][69][70], nano techniques for energy conversion and storage devices with special emphasis on high performance piezoelectric nanogenerator for energy harvesting [71,72] in sustainable buildings.…”
Section: Discussionmentioning
confidence: 99%
“…The air inside the enclosure is modeled by membrane elements. Thermal contact conductance ( TCC ) is included for limiting the thermal flux that occurs at the boundary between the solid and fluid domains [ 45 ]: where q represents the thermal flux, k e the thermal contact conductance, and T i,j the temperatures at the contacting nodes.…”
Section: Methodsmentioning
confidence: 99%
“…[ 32 ] have studied the tribological study of PIB and PMA. Kumar et al [ 33 ] have performed the thermal contact conductance using an FEA simulation tool. Gangwar & Kumar et.al [ 34 , 35 , 36 , 37 , 38 ] studied the femur and humerus bone using various boundary conditions.…”
Section: Recent Developments In Biomechanical Tribologymentioning
confidence: 99%