A multi-criteria optimization for a radial heat sink with semicircular fins based on the design of experiments approach
Radial fins play a crucial role in enhancing energy efficiency and supporting sustainable industrial practices by optimizing heat transfer, aligning with the Sustainable Development Goals (SDGs). Addressing the need for high-efficiency systems to reduce greenhouse gas emissions, this study highlight...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Case Studies in Thermal Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X24017581 |
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| author | Yousif Hashim Hussein Tahseen Ahmad Tahseen Abdulrazzak Akroot M.A.H. Mithu Ammar M. Abdulateef |
| author_facet | Yousif Hashim Hussein Tahseen Ahmad Tahseen Abdulrazzak Akroot M.A.H. Mithu Ammar M. Abdulateef |
| author_sort | Yousif Hashim Hussein |
| collection | DOAJ |
| description | Radial fins play a crucial role in enhancing energy efficiency and supporting sustainable industrial practices by optimizing heat transfer, aligning with the Sustainable Development Goals (SDGs). Addressing the need for high-efficiency systems to reduce greenhouse gas emissions, this study highlights the importance of optimizing factors in a General Factorial Design (GFD). Factors were coded and scaled within the range of +1 to −1, accounting for variations in the units of independent variables. This study utilized the Nusselt number and thermal resistance, along with an effective regression analysis, to develop a novel predictive model. Key performance indicators included R2, adjusted R2, predicted R2, coefficient of variation (CV), and parameter separation from the best-fit results. The proposed model demonstrated remarkable accuracy in predicting the Nusselt number, with values of R2, predicted R2, adjusted R2, and CV at 98.15 %, 97.08 %, 94.87 %, and 2.44 %, respectively. For thermal resistance, the corresponding values were 97.91 % for predicted R2, 96.70 % for adjusted R2, 94.21 % for CV, and 3.33 % for parameter separation. Therefore, it is evident that the proposed model is highly accurate in predicting semicircular radial heat sink performance, offering a robust tool for future heat sink designs and sustainable thermal management systems. |
| format | Article |
| id | doaj-art-6e332f2592a743a5b3fe60def9c682f2 |
| institution | Kabale University |
| issn | 2214-157X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Thermal Engineering |
| spelling | doaj-art-6e332f2592a743a5b3fe60def9c682f22025-02-02T05:27:17ZengElsevierCase Studies in Thermal Engineering2214-157X2025-02-0166105727A multi-criteria optimization for a radial heat sink with semicircular fins based on the design of experiments approachYousif Hashim Hussein0Tahseen Ahmad Tahseen1Abdulrazzak Akroot2M.A.H. Mithu3Ammar M. Abdulateef4Department of Mechanical Engineering, Faculty of Engineering, Karabuk University, 78050, Karabuk, Turkey; Department of Mechanical Engineering, College of Engineering, University of Kirkuk, IraqDepartment of Mechanical Engineering, College of Engineering, University of Kirkuk, IraqDepartment of Mechanical Engineering, Faculty of Engineering, Karabuk University, 78050, Karabuk, TurkeyDepartment of Industrial and Production Engineering, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh; Corresponding author.Department of Aeronautical Techniques Engineering, University of Bilad Alrafidain, 32001, Diyala, IraqRadial fins play a crucial role in enhancing energy efficiency and supporting sustainable industrial practices by optimizing heat transfer, aligning with the Sustainable Development Goals (SDGs). Addressing the need for high-efficiency systems to reduce greenhouse gas emissions, this study highlights the importance of optimizing factors in a General Factorial Design (GFD). Factors were coded and scaled within the range of +1 to −1, accounting for variations in the units of independent variables. This study utilized the Nusselt number and thermal resistance, along with an effective regression analysis, to develop a novel predictive model. Key performance indicators included R2, adjusted R2, predicted R2, coefficient of variation (CV), and parameter separation from the best-fit results. The proposed model demonstrated remarkable accuracy in predicting the Nusselt number, with values of R2, predicted R2, adjusted R2, and CV at 98.15 %, 97.08 %, 94.87 %, and 2.44 %, respectively. For thermal resistance, the corresponding values were 97.91 % for predicted R2, 96.70 % for adjusted R2, 94.21 % for CV, and 3.33 % for parameter separation. Therefore, it is evident that the proposed model is highly accurate in predicting semicircular radial heat sink performance, offering a robust tool for future heat sink designs and sustainable thermal management systems.http://www.sciencedirect.com/science/article/pii/S2214157X24017581Free convectionSemicircular finsGeneral factorial designSustainable development goalsOptimization |
| spellingShingle | Yousif Hashim Hussein Tahseen Ahmad Tahseen Abdulrazzak Akroot M.A.H. Mithu Ammar M. Abdulateef A multi-criteria optimization for a radial heat sink with semicircular fins based on the design of experiments approach Case Studies in Thermal Engineering Free convection Semicircular fins General factorial design Sustainable development goals Optimization |
| title | A multi-criteria optimization for a radial heat sink with semicircular fins based on the design of experiments approach |
| title_full | A multi-criteria optimization for a radial heat sink with semicircular fins based on the design of experiments approach |
| title_fullStr | A multi-criteria optimization for a radial heat sink with semicircular fins based on the design of experiments approach |
| title_full_unstemmed | A multi-criteria optimization for a radial heat sink with semicircular fins based on the design of experiments approach |
| title_short | A multi-criteria optimization for a radial heat sink with semicircular fins based on the design of experiments approach |
| title_sort | multi criteria optimization for a radial heat sink with semicircular fins based on the design of experiments approach |
| topic | Free convection Semicircular fins General factorial design Sustainable development goals Optimization |
| url | http://www.sciencedirect.com/science/article/pii/S2214157X24017581 |
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