A utilization of GEP (gene expression programming) metamodel and PSO (particle swarm optimization) tool to predict and optimize the forced convection around a cylinder. (15th January 2016)
- Record Type:
- Journal Article
- Title:
- A utilization of GEP (gene expression programming) metamodel and PSO (particle swarm optimization) tool to predict and optimize the forced convection around a cylinder. (15th January 2016)
- Main Title:
- A utilization of GEP (gene expression programming) metamodel and PSO (particle swarm optimization) tool to predict and optimize the forced convection around a cylinder
- Authors:
- Dey, Prasenjit
Das, Ajoy Kumar - Abstract:
- Abstract: An unsteady two-dimensional laminar forced convection heat transfer around a square cylinder with the rounded corner edge is numerically investigated for Pr = 0.01–1000 and non-dimensional corner radius, r = 0.50–0.71 at low Reynolds number (Re = 100). The effect of gradual transformation of a square cylinder into a circular cylinder on heat transfer phenomenon is studied. The FVM (finite volume method) based commercial code Ansys FLUENT is used for numerical simulation. The heat transfer characteristics over the rounded cornered square cylinder are analyzed with the isotherm patterns, local Nusselt number (Nulocal ), average Nusselt number (Nuavg ) at various Prandtl numbers and various corner radii. The heat transfer characteristic is predicted by the GEP (gene expression programming) and the GEP generated explicit equation of Nuavg is utilized in PSO (particle swarm optimization) to optimize the corner radii for maximum heat transfer rate. It is found that the heat transfer rate of a circular cylinder can be enhanced 14.17% by introducing a new cylinder geometry of corner radius r = 0.51. Highlights: The heat transfer rate enhance progressively with corner radius. GEP can predict the heat transfer rate very efficiently having very less error. The PSO tool can be efficiently applied in the forced convection study. The efficacy of the PSO totally depends on the precision of the objective function. The maximum enhancement of heat transfer of 14.17% is at Pr = 1 andAbstract: An unsteady two-dimensional laminar forced convection heat transfer around a square cylinder with the rounded corner edge is numerically investigated for Pr = 0.01–1000 and non-dimensional corner radius, r = 0.50–0.71 at low Reynolds number (Re = 100). The effect of gradual transformation of a square cylinder into a circular cylinder on heat transfer phenomenon is studied. The FVM (finite volume method) based commercial code Ansys FLUENT is used for numerical simulation. The heat transfer characteristics over the rounded cornered square cylinder are analyzed with the isotherm patterns, local Nusselt number (Nulocal ), average Nusselt number (Nuavg ) at various Prandtl numbers and various corner radii. The heat transfer characteristic is predicted by the GEP (gene expression programming) and the GEP generated explicit equation of Nuavg is utilized in PSO (particle swarm optimization) to optimize the corner radii for maximum heat transfer rate. It is found that the heat transfer rate of a circular cylinder can be enhanced 14.17% by introducing a new cylinder geometry of corner radius r = 0.51. Highlights: The heat transfer rate enhance progressively with corner radius. GEP can predict the heat transfer rate very efficiently having very less error. The PSO tool can be efficiently applied in the forced convection study. The efficacy of the PSO totally depends on the precision of the objective function. The maximum enhancement of heat transfer of 14.17% is at Pr = 1 and at r = 0.51. … (more)
- Is Part Of:
- Energy. Volume 95(2016)
- Journal:
- Energy
- Issue:
- Volume 95(2016)
- Issue Display:
- Volume 95, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 95
- Issue:
- 2016
- Issue Sort Value:
- 2016-0095-2016-0000
- Page Start:
- 447
- Page End:
- 458
- Publication Date:
- 2016-01-15
- Subjects:
- Square cylinder -- Rounded corner edge -- Prandtl number -- Enhancement of heat transfer -- GEP -- PSO
Power resources -- Periodicals
Power (Mechanics) -- Periodicals
Energy consumption -- Periodicals
333.7905 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.energy.2015.12.021 ↗
- Languages:
- English
- ISSNs:
- 0360-5442
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.445000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1652.xml