Meta-heuristic and RSM approach for Multi-objective Optimization of Plain Flow Refrigerant Vapor Condensation inside Tubes

Year 2018, Volume: 21 Issue: 2, 94 - 101, 30.05.2018

Ravindra Kumar , Parmananad Kumar

https://doi.org/10.5541/ijot.306393

Abstract

Condensers are extensively used heat exchangers in
automobiles and air conditioning systems. Optimization of heat transfer and
pressure drop inside condensers is an important area of concern for the designers.
In the present study, condensation  characteristics inside smooth
horizontal tubes is optimized using teaching-learning based optimization (TLBO)
algorithm and response surface methodology (RSM). Refrigerant mass velocity
(G), vapor quality (x) and tube internal diameter (D_i) are taken as
design parameters. Heat transfer coefficient (h) and pressure drop (ΔP) values of
refrigerants are calculated based on the mathematical models and served as
objective functions for RSM. The same mathematical models are applied to
formulate a multi-objective optimization problem with an aim to maximize heat
transfer coefficient and minimize pressure drop and is solved using TLBO. Two
different refrigerants have been considered to display the application of the
approaches. Of the two methods applied, TLBO seems to give better optimum
results.

Keywords

Condensation, Heat transfer, Pressure drop, TLBO, RSM

References

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