Abstract
The thermal mixing of hot and cold streams at T-junctions causes temperature fluctuations which may result in thermal fatigue. Hence for a T-junction, the knowledge of the temperature profile developed by the mixing of two fluids at different temperatures is essential. In this paper, the temperature profile downstream to the T- junction for steady laminar mixing of fluids at different temperatures is estimated by the enhanced conjugate gradient method (ECGM) algorithm. The ECGM is the combination of the recently developed Jaya algorithm and the traditional conjugate gradient method (CGM). Different test cases like the number of sensors, location of sensors and errors in the measurements have been considered. The performance of algorithms is determined by the root mean square (RMS) error. The estimation of the temperature profile by the ECGM algorithm is found to be better (RMS = 6.56 K) than CGM (RMS = 14.12 K).
Acknowledgments
The author greatly appreciates the grant received from the Science and Engineering Research Board, Department of Science and Technology, Government of India (EMR/2016/007821/CME) for the support of this research work.
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Sanil Shah
Sanil Shah completed his Ph.D. from the Department of Mechanical and Aero-Space Engineering, Institute of Infrastructure Technology Research and Management (IITRAM), Ahmedabad, India. His main research area includes heat transfer, fluid mechanics, computational fluid dynamics and optimization algorithms used for inverse heat transfer analysis.
Ajit Kumar Parwani
Ajit Kumar Parwani is the Department Coordinator and Assistant Professor in the Department of Mechanical and Aero-Space Engineering, IITRAM, Ahmedabad, India. He has over 15 years of teaching and research experience. His research interests include heat transfer, inverse heat transfer, computational heat transfer, renewable energy, and internal combustion engines. He has delivered several invited talks, keynote speeches and presented research work at conferences and reputed institutes. He has conducted several workshops, short-term training programs, and seminars. He has four ongoing sponsored research projects on inverse heat transfer funded by SERB-DST, Government of India, and Institute of Plasma Research, Government of India.