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 Birla Institute of Technology & Science, Pilani, Pilani Campus, Rajasthan, India. Dr. Bhattacharyya completed his post-doctoral research at the University of Pretoria, South Africa, under the supervision of Prof. Josua P Meyer. Dr. Bhattacharyya completed his Ph.D. in Mechanical Engineering from Jadavpur University, Kolkata, India, and with the collaboration of Dusseldorf 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), in Heat-Power Engineering. His research interests are in computational fluid dynamics in fluid flow and heat transfer, specializing in laminar, turbulent, 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 101 papers in high ranked journals and prestigious conference proceedings. He has been awarded the best paper award in a number of international conferences. He is also on the editorial boards of 11 journals and is a reviewer of more than 25 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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