49
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Temperature Profile Estimation Downstream to T-Junction for Thermal Mixing of Fluids

&
Published online: 21 Mar 2024
 

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.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

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.

Notes on contributors

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.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 323.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.