Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/8970
Title: Numerical Investigation On Heat Transfer Enhancement Using Nanoaerosols
Authors: Rajput, Gaurav
Keywords: Mechanical 2016
Project Report 2016
Mechanical Project Report
Project Report
16MMET
16MMET20
Thermal
Thermal 2016
Issue Date: 1-Jun-2018
Publisher: Institute of Technology
Series/Report no.: 16MMET20;
Abstract: Cooling constrains in modern appliances and devices necessitate enhancement in conventional heat transfer methods. This could be achieved by number of different techniques and one of them is mixing nano-particles with the base fluid. Nano-particles improve the properties of fluids. The literature study suggest that there are different kind of models for the enhancement of heat transfer in nano-fluids, but very few for Nano aerosols. In this project work numerical investigation on enhancement of the heat transfer by Nano fluids and Nano aerosol is carried out with the help of Fluent software in which simple scheme solution method is used. This numerical study is on laminar flow of a water-Al2O3 in a circular tube, for constant heat flux at the wall and numerical investigation on Air-Al2O3, Air-SiO2, Air-T iO2 and Air-MgO. The investigation for appropriate property model is done by theoretical study of the most used models and they are then compared with the existing experimental results. The effective properties are calculated from the available model. The different Numerical results are calculated in the form of Nusselt number by varying the Reynolds number. Simulation results are validated by comparing them with existing experimental and numerical results. Results of this numerical investigation conclude that by varying the nano-particle and flow parameter, there is enhancement in Nusselt number of 36.23%, 39.09% and 41.27% for Air-Al2O3 with Reynolds number of 600, 750 and 900.While Air-SiO2 shows 6.71%, 8.58% and 5.31% improvement, Air-T iO2 shows 10.01%, 7.1% and 4.62% improvement and Air-MgO shows 13.44%, 29.04% and 34.61% improvement for same set of reynolds number
URI: http://10.1.7.192:80/jspui/handle/123456789/8970
Appears in Collections:Dissertation, ME (Thermal)

Files in This Item:
File Description SizeFormat 
16MMET20.pdf16MMET201.37 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.