Journal
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
Volume 126, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.icheatmasstransfer.2021.105262
Keywords
Buongiorno nanoliquid model; Non-Newtonian Casson liquid; Thermo-solutal stratification; Mixed convected flow; Stretchable cylinder; Robin conditions
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Enhancement of heat transportation is crucial in industrial and engineering applications, with the use of nanoliquids being recommended for improved thermal efficiency. The Buongiorno nanoliquid model is considered for better thermal efficacy compared to standard cooling liquids, analyzing non-Newtonian Casson liquids on stretchable cylindrical surfaces. Factors like thermo-solutal stratifications, buoyancy forces, magnetic field, and radiation effects are taken into account for convergent solutions of nonlinear systems. Graphs are used to reveal the effects of these factors.
Enhancement of heat transportation is an immensely vital topic in industrial and engineering utilizations these days. Cooling liquids like water, propylene glycol (PG) and ethylene glycol (EG) having lower conductivity are utilized as unadulterated liquids in various applications, therefore rationing the heat transportation enhancement. Nonetheless, state-of-the-art fluids (nanoliquids) were recommended with a view to procure enhancement in thermal efficacy. Therefore the Buongiorno nanoliquid model highlighting better thermal efficacy in comparison to aforesaid standard cooling liquids is considered to formulate and analyze the non-Newtonian Casson liquid considering stretchable cylindrical surface. Flow is stratified and mixed convected due to consideration of thermo-solutal stratifications and thermo-solutal buoyancy forces respectively. In addition, Robin conditions, magnetic field and radiation effects are accounted. Differential form is obtained by introducing relevant variables. Homotopy procedure leads to convergent solutions of strong non-linear systems. The plots of significant factors are divulged through graphs.
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