Suvanjan Bhattacharyya

Birla Institute of Technology and Science, Pilani

Dr. Suvanjan Bhattacharyya is currently working as an Assistant Professor in the Department of Mechanical Engineering of BITS Pilani, Pilani Campus, India. Dr. Bhattacharyya completed his post-doctoral research at the Department of Mechanical and Aeronautical Engineering, University of Pretoria, South Africa. Dr. Bhattacharyya completed his Ph.D. in Mechanical Engineering from Jadavpur University, Kolkata, India and with the collaboration of Duesseldorf University of Applied Sciences, Germany. He received his Master’s degree from the Indian Institute of Engineering, Science and Technology, India (Formerly known as Bengal Engineering and Science University), on Heat-Power Engineering. His research interest lies in computational fluid dynamics in fluid flow and heat transfer, specializing on laminar, turbulent, transition, steady, unsteady separated flows and convective heat transfer, experimental heat transfer enhancement, solar energy and renewable energy. He is the author and co-author of 107 papers in high ranked journals and prestigious conference proceedings. He has bagged the best paper award in a number of international conferences as well. He is also in editorial boards of 15 Journals and reviewers of more than 40 prestigious Journals.

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Latest work with IntechOpen by Suvanjan Bhattacharyya

A direct solution of the heat conduction equation with prescribed initial and boundary conditions yields temperature distribution inside a specimen. The direct solution is mathematically considered as a well-posed one because the solution exists, is unique, and continuously depends on input data. The estimation of unknown parameters from the measured temperature data is known as the inverse problem of heat conduction. An error in temperature measurement, thermal time lagging, thermocouple-cavity, or signal noise data makes stability a problem in the estimation of unknown parameters. The solution of the inverse problem can be obtained by employing the gradient or non-gradient based inverse algorithm. The aim of this book is to analyze the inverse problem and heat exchanger applications in the fields of aerospace, mechanical, applied mechanics, environment sciences, and engineering.

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