A multi-criteria optimization for a radial heat sink with semicircular fins based on the design of experiments approach

Küçük Resim Yok

Tarih

2025-02

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Elsevier BV

Erişim Hakkı

info:eu-repo/semantics/openAccess

Özet

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.

Açıklama

Anahtar Kelimeler

Free convection, General factorial design, Optimization, Semicircular fins, Sustainable development goals

Kaynak

Case Studies in Thermal Engineering

WoS Q Değeri

Scopus Q Değeri

Q1

Cilt

66

Sayı

Künye

Hussein, Y.H., Tahseen, T.A., Akroot, A., Mithu, M., & Abdulateef, A.M. (2024). A multi-criteria optimization for a radial heat sink with semicircular fins based on the design of experiments approach. Case Studies in Thermal Engineering.