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Advances in Engineering Design - Select Proceedings of FLAME 2020

Advances in Engineering Design - Select Proceedings of FLAME 2020

Preeti Joshi, Shakti S. Gupta, Anoop Kumar Shukla, Sachin Singh Gautam

 

Verlag Springer-Verlag, 2021

ISBN 9789813346840 , 768 Seiten

Format PDF

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Advances in Engineering Design - Select Proceedings of FLAME 2020


 

This book presents select proceedings of the International Conference on Future Learning Aspects of Mechanical Engineering (FLAME 2020). The book focuses on latest research in mechanical engineering design and covers topics such as computational mechanics, finite element modeling, computer aided engineering and analysis, fracture mechanics, and vibration. The book brings together different aspects of engineering design and the contents will be useful for researchers and professionals working in this field.  


Dr. Preeti Joshi completed her PhD from Indian Institute of Technology, Roorkee, India. She did her Master of Technology also from Indian Institute of Technology, Roorkee, India. Currently, she is working as an Assistant Professor in Amity University Noida. Her research interest involves finite element modelling, carbon nanotubes, nano composites, modelling and simulation. Dr. Joshi is having 6 years of working experience in teaching various UG and PG courses in mechanical engineering. She has published various research articles in refereed international journals and conferences.
Dr. Shakti S. Gupta is Associate Professor at the Indian Institute of Technology, Kanpur, India. He did his Masters from Indian Institute of Science, Bangalore, and his PhD from Virginia Tech, USA. His research interest includes linear and non-linear structural mechanics, mechanics of nanomaterials and their characterization, and engineering mechanics. He is a recipient of several awards such as DRDO's Silicon Medal for National Science Day oration, and the Daniel Fredrick Scholarship for excellent performance in the graduate program in the Department of Engineering Science and Mechanics, Virginia Tech.

Dr. Anoop Kumar Shukla is presently working as Assistant Professor in the Department of Mechanical Engineering Amity University Noida. He did B.Tech from Institute of Engineering & Rural Technology, Allahabad, and M.Tech from Harcourt Butler Technological Institute, Kanpur. He received Ph.D. degree in 2017 from Dr. APJ Abdul Kalam Technical University, Lucknow. He has more than 8 years of teaching and research experience. His area of research is energy conversion and thermal management, combined power cycles, biofuels, gas turbine cooling, and advanced thermodynamics. He has published more than twenty research papers in peer-reviewed international journals and conferences. He has published two book chapters in Methanol and the Alternate Fuel Economy and Industrial Applications of Green Solvents: Volume II.

Dr. Sachin Singh Gautam is currently an Assistant professor in the Department of Mechanical Engineering, IIT Guwahati. He carried out his post-doctoral research at AICES, RWTH Aachen University, Germany. He finished his PhD and M.Tech.  in the area of high velocity impact problems from IIT Kanpur. Dr. Gautam has undertaken projects from SERB, DST and VSSC, ISRO. He has recently received funding to enhance the functionalities of ISRO's structural analysis software tool FEASTSMT. Also, his students have been working on research projects in joint collaboration with Siemens R&D, Gurgaon and Cummins R&D Pune. He has guided two PhD students, and further supervising eight students. He has guided 19 M.Tech. students.  His research group has received three best paper awards, and a best poster award. Two of his masters students have been awarded DAAD fellowship for carrying out their master's thesis project work in German universities. He is also the recipient of best teacher award. He has published around 15 book chapters, 22 journal papers, and 50 national/international; conference publications. His current area of research is in computational contact mechanics, isogeometric analysis, GPU computing, and application of machine learning in computational mechanics.