This book presents select proceedings of the 7th National Conference on Multidisciplinary Design, Analysis, and Optimization (NCMDAO-7) and the 1st International Conference on Multidisciplinary Design, Analysis, and Optimization (iNCMDAO) held at Indian Institute of Science, Bengaluru (IISc) between December 16 and 18, 2024. The conference was organized by the Department of Mechanical Engineering, IISc in collaboration with the Design division of the Aeronautical Society of India (AeSI). This conference was the seventh in an annually planned event to create a platform for researchers in academia, government labs, and industry professionals working in the area of multidisciplinary design, analysis and optimization to share their current work. This year the conference went international with international speakers and participants. The papers covered topics ranging from size, topology optimization to impact of AI/ML on optimization algorithms, transfer learning, and other emerging topics. This book is a valuable resource for students, practicing engineers, researchers, and academicians.

Presents select peer-reviewed proceedings of iNCMDAO 2024 Brings together a group of researchers from academia, industry, and government labs Discusses latest advances in the field of multi-disciplinary analysis and optimization

Autorentext

Prof. Palaniappan Ramu is currently a Professor at the Department of Engineering Design, Indian Institute of Technology (IIT) Madras. He heads the Advanced Design Optimization and Probabilistic Techniques (ADOPT) Laboratory, which works on design under uncertainties, optimization, visual analytics and data science. He investigates problems of varied interests in different areas. It includes optimal designs of computer models built in FEM/CFD toward light weighting, understanding performance of machine learning algorithms as surrogates, digital twins and visual exploration of design spaces. He holds a B.Eng. in mechanical from Madurai Kamaraj University, India, and Ph.D. in aerospace engineering from University of Florida, Gainesville, USA.
Vinay Ramanath is a Principal Key Expert Scientist at Siemens Technology and is responsible for driving technologies related to simulation and digital twin into the products and tools segment of Siemens. Vinay is leading one of the technical modules Optimization and Uncertainty Quantification within the Company Core Technology Simulation and Digital Twin. The technical module looks into engaging with Siemens business units in developing approaches for generative engineering, optimization and probabilistic designs. Mr. Ramanath's interest lies in exploring the vast domains of optimization and the innovations that arise at the intersection of optimization with generative AI, industrial metaverse, digital twins, quantum algorithms, and systems engineering. He is also a peer reviewer for proposals submitted to National Quantum Mission under Department of Science and Technology (DST). Mr. Ramanath has more than 9 granted patents to his credit.
Gondi Kondaiah Ananthasuresh earned his bachelor's from Indian Institute of Technology (IIT) Madras, master's from the University of Toledo, and Ph.D. from the University of Michigan, Ann Arbor, all in mechanical engineering. He is a Professor in Mechanical Engineering and Dean of the Division of Mechanical Sciences at the Indian Institute of Science (IISc), Bengaluru. He has authored multiple book chapters, edited books and textbooks. He has received several awards for his work, including the National Science Foundation (USA) Early Career Award, Society of Automotive Engineers Ralph R. Teeter Educational Award (USA) as well as Swarnajayanthi Fellowship, Shanti Swarup Bhatnagar Prize, and Abdul Kalam Technology Innovation National Fellowship from the Government of India. He is a Fellow of the Indian National Academy of Engineers. He has also contributed as a member of the editorial board of various national and international journals. He is currently Editor-in-Chief of the Journal of IISc.

Inhalt

PyTOPress: Python code for topology optimization of structures subjected to design-dependent pressure loads.- Automation of Tri-Axis Antenna Control Servo System.- Basis splines for topology optimisation of elements of a building.- Performance Enhancement of Ribbed Wall Microchannel Through Topology Optimization.- Risk-Informed Design Enhancement of Crew-Cabin Pressure Control System Simulator for Space Missions.- Support plate shape optimization for Thomson coil actuator.- Optimized Antenna & Receive-Chain Assignment to Satellite Passes at Remote Sensing Ground Station.