LAPSE:2023.11117
Published Article

LAPSE:2023.11117
Optimisation of Induced Steam Residual Moisture Content in a Clothing Conditioner Based on a Genetic Algorithm
February 27, 2023
Abstract
This paper presents the modelling of heat and moisture transfer in a clothes-conditioning unit with the aim of improving the moisture content distribution to the clothes. A multicomponent, non-reacting, two-phase Eulerian−Eulerian model was utilised to solve the computational model. The clothes inside the conditioning unit were modeled as retangular towels (porous medium) of uniform thickness. Mass flow distribution of air and steam through the clothes was studied by systematically varying the steam nozzle angle (30° to 75°) and air inflow grill angle (45° to 105°). The simulation results were studied to identify the impact of design parameters on the mass flow distribution inside the clothes-conditioning unit. The mass flow of steam and the air−steam mixture were calculated through each towel in the forward and reverse direction. Response surface analysis was conducted to correlate the total mass flow rate and steam mass flow rate through each towel with the design variables. Moreover, a multiobjective genetic algorithm was employed to optimise the mass flow through the clothes and ascertain the optimal design configuration. The geometric configuration with a steam nozzle angle of 45° and air grill angle of 105° resulted in optimal steam and mixture distribution.
This paper presents the modelling of heat and moisture transfer in a clothes-conditioning unit with the aim of improving the moisture content distribution to the clothes. A multicomponent, non-reacting, two-phase Eulerian−Eulerian model was utilised to solve the computational model. The clothes inside the conditioning unit were modeled as retangular towels (porous medium) of uniform thickness. Mass flow distribution of air and steam through the clothes was studied by systematically varying the steam nozzle angle (30° to 75°) and air inflow grill angle (45° to 105°). The simulation results were studied to identify the impact of design parameters on the mass flow distribution inside the clothes-conditioning unit. The mass flow of steam and the air−steam mixture were calculated through each towel in the forward and reverse direction. Response surface analysis was conducted to correlate the total mass flow rate and steam mass flow rate through each towel with the design variables. Moreover, a multiobjective genetic algorithm was employed to optimise the mass flow through the clothes and ascertain the optimal design configuration. The geometric configuration with a steam nozzle angle of 45° and air grill angle of 105° resulted in optimal steam and mixture distribution.
Record ID
Keywords
clothes-conditioning unit, Genetic Algorithm, heat and mass transfer, numerical analysis, thermal management
Suggested Citation
Saleem A, Saeed M, Kim MH. Optimisation of Induced Steam Residual Moisture Content in a Clothing Conditioner Based on a Genetic Algorithm. (2023). LAPSE:2023.11117
Author Affiliations
Saleem A: School of Mechanical Engineering and IEDT, Kyungpook National University, Daegu 41566, Korea; School of Engineering, Cardiff University, Queen’s Buildings, The Parade, Cardiff CF24 3AA, Wales, UK
Saeed M: Abu Dhabi Maritime Academy, Abu Dhabi P.O. Box 54477, United Arab Emirates [ORCID]
Kim MH: School of Mechanical Engineering and IEDT, Kyungpook National University, Daegu 41566, Korea [ORCID]
Saeed M: Abu Dhabi Maritime Academy, Abu Dhabi P.O. Box 54477, United Arab Emirates [ORCID]
Kim MH: School of Mechanical Engineering and IEDT, Kyungpook National University, Daegu 41566, Korea [ORCID]
Journal Name
Energies
Volume
15
Issue
15
First Page
5696
Year
2022
Publication Date
2022-08-05
ISSN
1996-1073
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Original Submission
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PII: en15155696, Publication Type: Journal Article
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LAPSE:2023.11117
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https://doi.org/10.3390/en15155696
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Feb 27, 2023
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