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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/12402
Title: Heat and Fluid Flow Analysis and ANN-Based Prediction of A Novel Spring Corrugated Tape
Authors: Bhattacharyya, Suvanjan
Keywords: Mechanical Engineering
Fluid Flow Analysis
Heat Transfer
Tape inserts
Corrugation
Heat exchanger
Machine Learning
Prediction
Issue Date: Mar-2021
Publisher: MDPI
Abstract: A circular tube fitted with novel corrugated spring tape inserts has been investigated. Air was used as the working fluid. A thorough literature review has been done and this geometry has not been studied previously, neither experimentally nor theoretically. A novel experimental investigation of this enhanced geometry can, therefore, be treated as a new substantial contribution in the open literature. Three different spring ratio and depth ratio has been used in this study. Increase in thermal energy transport coefficient is noticed with increase in depth ratio. Corrugated spring tape shows promising results towards heat transfer enhancement. This geometry performs significantly better (60% to 75% increase in heat duty at constant pumping power and 20% to 31% reduction in pumping power at constant heat duty) than simple spring tape. This paper also presented a statistical analysis of the heat transfer and fluid flow by developing an artificial neural network (ANN)-based machine learning (ML) model. The model is evaluated to have an accuracy of 98.00% on unknown test data. These models will help the researchers working in heat transfer enhancement-based experiments to understand and predict the output. As a result, the time and cost of the experiments will reduce. The results of this investigation can be used in designing heat exchangers.
URI: https://www.mdpi.com/2071-1050/13/6/3023
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/12402
Appears in Collections:Department of Mechanical engineering

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