Magnetohydrodynamics and Aspect Ratio Effects on Double Diffusive Mixed Convection and Their Prediction: Linear Regression Model | ||
| Journal of Heat and Mass Transfer Research | ||
| مقاله 7، دوره 9، شماره 2 - شماره پیاپی 18، بهمن 2022، صفحه 169-188 اصل مقاله (1002.33 K) | ||
| نوع مقاله: Full Length Research Article | ||
| شناسه دیجیتال (DOI): 10.22075/jhmtr.2023.28029.1387 | ||
| نویسندگان | ||
| Shivananda Moolya1، 2؛ Anbalagan Satheesh* 1؛ Devi Rajan3؛ Rekha Moolya4 | ||
| 1School of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamilnadu, INDIA-632014 | ||
| 2University of Technology and Applied Sciences, PO Box 74, Al-Khuwair Postal code 133, Sultanate of Oman | ||
| 3Department of Physics, Auxilium College (Autonomous), Tamilnadu, INDIA-632006 | ||
| 4Gopalan College of Engineering and Management, Bangalore, Karnataka, India, 560048 | ||
| چکیده | ||
| Magnetohydrodynamic application in the biomedical field made the researcher work more on this field in recent years. The major application of this concept is in scanning using laser beams, delivering a drug to the targeted points, cancer treatment, enhancing image contrast, etc. These applications are depending on the flow and heat transfer properties of the magnetic conducting fluid and on the geometry of the flow field. An increase in the demand for the miniature in the shape and size of the clinical devices attracts the researcher to work more on design optimization. In this study optimization of magnetic field strength, geometry of domain, Prandtl number, Reynolds number for a steady, incompressible double-diffusive flow is performed using Taguchi and Analysis of variance technique. Linear regression model is used to predict the average Nusselt and Sherwood numbers. Numerical simulations were performed using finite volume method (FVM) based numerical techniques. Experiments are designed based on Taguchi orthogonal array and FVM based numerical codes were used to obtain the results. Results show that an increase in the aspect ratio from to 0.5 to 2.0 improves the heat transfer rate by 62.0% and the mass transfer rate by 38.5%. As the Prandtl number increases from 0.7 to 13.0, heat transfer rate increases by 80.0% and mass transfer by 75.0%. This specific study could be applied in designing of solar ponds and to investigate heat and mass transfer effects during cancer treatments. | ||
| کلیدواژهها | ||
| Aspect ratio؛ Double-diffusion؛ Taguchi؛ Linear regression model؛ Optimization | ||
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