Indian Journal of Science and Technology

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Thermal Performance of Pin Fin with Three Different Materials and Data Fitting using Multiple Regression Analysis


Affiliations
1 Department of Mechanical Engineering, M. S. University of Baroda, Vadodara - 390002, Gujarat, India
 

Objective: To determine the thermal performance of pin fin and a generalised formula is evolved for accurate prediction of thermal performance under various conditions. Methods: Thermal performance for a pin fin under different combination of heat dissipation, air flow and different material is carried out. Based on the experimental investigation a generalised formula using multiple regression analysis is evolved. Findings: We concluded that copper is best material from thermal performance point of view. Variation of efficiency and effectiveness of fins was also noted. Generalised equation for Ɵ/ Ɵ0 is developed. Novelty: Developing generalised formula through multiple regression analysis method gives accurate prediction of thermal performance under various conditions.
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  • Thermal Performance of Pin Fin with Three Different Materials and Data Fitting using Multiple Regression Analysis

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Authors

B. Prajeesh Kumar
Department of Mechanical Engineering, M. S. University of Baroda, Vadodara - 390002, Gujarat, India
Rajdeep Gohil
Department of Mechanical Engineering, M. S. University of Baroda, Vadodara - 390002, Gujarat, India
Anand Santoki
Department of Mechanical Engineering, M. S. University of Baroda, Vadodara - 390002, Gujarat, India
Divyesh Kansagara
Department of Mechanical Engineering, M. S. University of Baroda, Vadodara - 390002, Gujarat, India
Kishan Patel
Department of Mechanical Engineering, M. S. University of Baroda, Vadodara - 390002, Gujarat, India
A. R. Patel
Department of Mechanical Engineering, M. S. University of Baroda, Vadodara - 390002, Gujarat, India

Abstract


Objective: To determine the thermal performance of pin fin and a generalised formula is evolved for accurate prediction of thermal performance under various conditions. Methods: Thermal performance for a pin fin under different combination of heat dissipation, air flow and different material is carried out. Based on the experimental investigation a generalised formula using multiple regression analysis is evolved. Findings: We concluded that copper is best material from thermal performance point of view. Variation of efficiency and effectiveness of fins was also noted. Generalised equation for Ɵ/ Ɵ0 is developed. Novelty: Developing generalised formula through multiple regression analysis method gives accurate prediction of thermal performance under various conditions.

References





DOI: https://doi.org/10.17485/ijst%2F2018%2Fv11i28%2F130788