Performance Enhancement & Prediction of Solar Air Heater with Quatrefoil Shaped Artificial Roughness Using Adaptive Neuro Fuzzy Inference System

Author:

P Rajkumar1,Raja M2,Stephen Sagayaraj A.3,Melvin Jones J1,Suseendhar P4,Karthiga M3

Affiliation:

1. Jai Shriam Engineeirng College,Department of Mechanical Engineering,Tirupur,Tamilnadu,India

2. Kongu Engineering College,Department of Electronics and Instrumentation Engineering,Perundurai,Tamilnadu,India

3. Bannari Amman Institute of Technology,Department of Electronics and Communication Engineering,Sathyamangalam,Tamilnadu,India

4. Karpagam Academy of Higher Education,Department of Electronics and Communication Engineering,Coimbatore,Tamilnadu,India

Publisher

IEEE

Reference22 articles.

1. Exergetic Performance Prediction of a Roughened Solar Air Heater Using Artificial Neural Network;ghritlahre;Strojniski Vestnik/Journal of Mechanical Engineering,2018

2. ANFIS: adaptive-network-based fuzzy inference system

3. Synchronization of Reactive Power in Solar Based DG and Voltage Regulated Elements Using Stochastic Optimization Technique;karuppusamy dr;Journal of Electrical Engineering and Automation,2020

4. Experimental and economic analysis of passive cooling PV module using fins and planar reflector;am;Case Stud Therm Eng,2021

5. An experimental investigation to augment the efficiency of photovoltaic panels by using longitudinal fins

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1. Applications of intelligent methods in solar heaters: an updated review;Engineering Applications of Computational Fluid Mechanics;2023-07-31

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