Advances in Multidisciplinary Analysis and Optimization (eBook)

Proceedings of the 4th National Conference on Multidisciplinary Analysis and Optimization

P. Pradeep Pratapa, G. Saravana Kumar, Palaniappan Ramu, R. K. Amit (Herausgeber)

eBook Download: PDF

2022 | 1st ed. 2023
XXVI, 467 Seiten
Springer Nature Singapore (Verlag)
978-981-19-3938-9 (ISBN)

Infos

This volume contains select papers presented during the 4^th  National Conference on Multidisciplinary Analysis and Optimization. It discusses new developments at the core of optimization methods and their application in multiple applications. The papers showcase fundamental problems and applications which include domains such as aerospace, automotive and industrial sectors. The variety of topics and diversity of insights presented in the general field of optimization and its use in design for different applications will be of interest to researchers in academia or industry.

Phanisri Pradeep Pratapa is an Assistant Professor in the Department of Civil Engineering at the Indian Institute of Technology (IIT) Madras. He obtained his Ph.D. from Georgia Tech, Atlanta, USA, and later worked with Prof. Glaucio H. Paulino as a postdoc where he was inspired by the ideas of origami engineering, metamaterials, and topology optimization. His current research focuses on exploring the use of optimization and origami principles in structural mechanics and engineering. His research interests also include the topics of lattice structures and 3D printing. His work has been published in highly reputed journals like Physical Review Letters and Journal of the Mechanics and Physics of Solids. Dr. Pratapa has a Bachelor's degree from IIT Madras and a Master's degree from The University of Texas at Austin, both in Civil Engineering. 

Gurunathan Saravana Kumar is a Professor in the Department of Engineering Design at the Indian Institute of Technology (IIT) Madras. His research aims at development of representational and computational tools for virtual and physical prototyping applied to arrive at solutions to design problems. Some of the specific research areas include CAD, design optimization, and design for additive manufacturing. His current research focuses on exploring the capabilities of additive manufacturing to design novel structures for various applications including light weighting, compact heat exchangers, and orthopaedic implants. He has more than 100 publications in international journals and conferences. Dr. Saravana Kumar has a Bachelor's degree from the University of Madras and a Ph.D. from IIT Kanpur, both in Mechanical Engineering. 

Palaniappan Ramu is an Associate Professor in the Department of Engineering Design at the Indian Institute of Technology (IIT) Madras. His research interests revolve around the treatment of uncertainties in design. His philosophy on the treatment of uncertainties is 'More out of less'- to obtain more information with limited experiments or computer simulations and how not to be fooled by randomness. With this focus, he works on diverse problems which are predominantly data driven. Application areas include automotive/space structures, wind turbines, and internet marketing.  

R K Amit is currently a Professor in the Department of Management Studies, Indian Institute of Technology (IIT) Madras, Chennai, India. He completed his undergraduate studies at IIT Kanpur, and his doctoral studies at the Indian Institute of Science (IISc), Bangalore. His research and teaching interests are game theory and decision theory, and their applications in operations management. His research has been published in journals of national and international repute. He is currently working on numerous industry-sponsored research projects in the areas of electric mobility, emergency medical services, and airlines revenue management. 

 

Produkt-Details

• Erscheint lt. Verlag: 24.9.2022
• Reihe/Serie: Lecture Notes in Mechanical Engineering
• Reihe/Serie: Lecture Notes in Mechanical Engineering
• Zusatzinfo: XXVI, 467 p. 349 illus., 301 illus. in color.
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik
• Themenwelt: Technik
• Schlagworte: approximations • Engineering Analysis • Multidisciplinary System Design • NCMDAO21 • Neural networks • Optimization
• ISBN-10: 981-19-3938-1 / 9811939381
• ISBN-13: 978-981-19-3938-9 / 9789811939389