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Titlebook: Advances in Multidisciplinary Analysis and Optimization; Proceedings of the 2 Raviprakash R. Salagame,Palaniappan Ramu,Dhish Kum Conference

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期刊全稱Advances in Multidisciplinary Analysis and Optimization
期刊簡稱Proceedings of the 2
影響因子2023Raviprakash R. Salagame,Palaniappan Ramu,Dhish Kum
視頻videohttp://file.papertrans.cn/149/148996/148996.mp4
發(fā)行地址Discusses applications of multidisciplinary optimization in aerospace, automotive, manufacturing and biomedical industries.Focuses on design and analysis as applicable to optimization of systems.Discu
學(xué)科分類Lecture Notes in Mechanical Engineering
圖書封面Titlebook: Advances in Multidisciplinary Analysis and Optimization; Proceedings of the 2 Raviprakash R. Salagame,Palaniappan Ramu,Dhish Kum Conference
影響因子This volume contains select papers presented during the 2nd National Conference on Multidisciplinary Analysis and Optimization. It discusses new developments at the core of optimization methods and its 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.
Pindex Conference proceedings 2020
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Multi-disciplinary Analysis of a Reentry Vehicleith (1) a DC motor and (2) a brake in terms of robot safety and performance. Experimental comparisons show that the hybrid actuation with PAMs and a brake provides higher energy efficiency for control bandwidths under 2 Hz, and is capable of effectively reducing large impacts due to the brake’s high
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Optimization of Multiple Gravity Assist Trajectories with Deep Space Maneuver Using Evolutionary Algur solutions to these challenges. Firstly, we summarize the design of our micro air vehicle, focusing on the navigation and sensing payload. Secondly, we describe the vision and state estimation algorithms used to track ground features through a sequence of images from the MAV, including stationary
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Study of Wing Flutter at Preliminary Stages of Designts. This work focuses on providing a robust and versatile hybrid platform that improves payload capacity, operation time, endurance, and versatility. The Bi-modal Aerial and Terrestrial hybrid vehicle (BAXTER) is a solution that provides two modes of operation, aerial and terrestrial. BAXTER employs
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Coupled Aero-structural Simulation Techniques Using High-Fidelity Analysis and Design Tools haptic forces (0.5–2N; square or 0.1–65Hz sine waveforms) while maintaining negligible temporal noise in pre-motor, motor, somatosensory, and visual cortex (<1?% of signal). Our results show that Haptic fMRI is a robust and reliable technique for characterizing the human brain’s motor controller.
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