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Analysis of Effect of Heat Pipe Parameters in Minimising the Entropy Generation Rate


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1 Department of Mechanical Engineering, National Institute of Technology Calicut, Kerala 673601, India
 

Heat transfer and fluid flow in the heat pipe system result in thermodynamic irreversibility generating entropy. The minimum entropy generation principle can be used for optimum design of flat heat pipe. The objective of the present work is to minimise the total entropy generation rate as the objective function with different parameters of the flat heat pipe subjected to some constraints. These constraints constitute the limitations on the heat transport capacity of the heat pipe.This physical nonlinear programming problemwith nonlinear constraints is solved using LINGO15.0 software,which enables finding optimumvalues for the independent design variables for which entropy generation is minimum.Theeffect of heat load, length, and sink temperature on design variables and corresponding entropy generation is studied. The second law analysis using minimum entropy generation principle is found to be effective in designing performance enhanced heat pipe.
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  • Analysis of Effect of Heat Pipe Parameters in Minimising the Entropy Generation Rate

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Authors

Rakesh Hari
Department of Mechanical Engineering, National Institute of Technology Calicut, Kerala 673601, India
Chandrasekharan Muraleedharan
Department of Mechanical Engineering, National Institute of Technology Calicut, Kerala 673601, India

Abstract


Heat transfer and fluid flow in the heat pipe system result in thermodynamic irreversibility generating entropy. The minimum entropy generation principle can be used for optimum design of flat heat pipe. The objective of the present work is to minimise the total entropy generation rate as the objective function with different parameters of the flat heat pipe subjected to some constraints. These constraints constitute the limitations on the heat transport capacity of the heat pipe.This physical nonlinear programming problemwith nonlinear constraints is solved using LINGO15.0 software,which enables finding optimumvalues for the independent design variables for which entropy generation is minimum.Theeffect of heat load, length, and sink temperature on design variables and corresponding entropy generation is studied. The second law analysis using minimum entropy generation principle is found to be effective in designing performance enhanced heat pipe.