Performing multiobjective optimization on perforated plate matrix heat exchanger surfaces using genetic algorithm

Performing multiobjective optimization on perforated plate matrix heat exchanger surfaces using genetic algorithm

Matrix Heat Exchanger is having wide spread applications in cryogenics and aerospace, where high effectiveness and compactness is essential. This can be achieved by providing high thermal conductive plates and low thermal conductive spacers alternately. These perforated plate matrix heat exchangers...

Full description

Bibliographic Details
Main Authors: John Anish K., Krishnakumar K.
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:International Journal for Simulation and Multidisciplinary Design Optimization
Subjects:
Matrix Heat Exchanger
Colburn factor
friction factor
Optimization
Genetic Algorithm
Perforated plate
Online Access:https://doi.org/10.1051/smdo/2016011

Internet

https://doi.org/10.1051/smdo/2016011

Similar Items