INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Radiators are a type of heat exchangers used to transfer thermal energy from one medium to another for the purpose of cooling and heating. The heat dissipation efficiency of the radiator is of great significance to the reliability of the power transformer system. However, traditional coatings on the radiator are designed to improve the corrosion resistance of radiators, which usually have a lower thermal conductivity. In this project, the thermal properties of copper coating have been studied with 100micron coating thickness. The main objective of the work is about 15% improvement in the thermal conductivity compared to the traditional anti-corrosive coatings. It provides a simple and effective way to accelerate the heat spread of radiators and thus lower the system temperature. In this project, the coolant fluid will be transmitted at 0.04 kg/s mass flow rates, at 100 micron coating thicknesses, and coated on the top surface of the radiator tubes and fins. Flow analysis will be performed for 100c temperature as heat input conditioning for CFD. The optimal values of the parameters are obtained with the help of the graphs.
"THERMAL PERFORMANCE ANALYSIS OF RADIATOR WITH COATED MATERIAL", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 5, page no.519-527, May-2022, Available :http://www.ijnrd.org/papers/IJNRDA001077.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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