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Multi-Objective Multidisciplinary Design Optimization of a Robotic Fish System
Biomimetic robotic fish systems have attracted huge attention due to the advantages of flexibility and adaptability. They are typically complex systems that involve many disciplines.
Hao Chen +4 more
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Interaction Prediction Optimization in Multidisciplinary Design Optimization Problems [PDF]
The distributed strategy of Collaborative Optimization (CO) is suitable for large-scale engineering systems. However, it is hard for CO to converge when there is a high level coupled dimension.
Debiao Meng +4 more
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Noise prediction research of a scaled turboprop aircraft
Aerodynamic noise level has become an important performance index of civil aircraft, and it is drawing more and more attention. Most airframe noise research based on CFD method is aimed at aircraft individual parts at present, while lack of noise ...
Song Minhua +5 more
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Modeling high-dimensional aerodynamic data presents a significant challenge in aero-loads prediction, aerodynamic shape optimization, flight control, and simulation.
Bo-Wen Zan +4 more
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In this work, we studied a Ti-Nb-Zr-Sn system for exploring novel composition and temperatures that will be helpful in maximizing the stability of β phase while minimizing the formation of α” and ω-phase. The Ti-Nb-Zr-Sn system is free of toxic elements.
Rajesh Jha, George S. Dulikravich
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Multidisciplinary Optimization Design of Low-Noise Propellers
In this paper, a multidisciplinary optimization design method and its verification of low-noise aircraft propellers considering aerodynamics, noise, and structural strength were carried out to further reduce the aerodynamic noise of the aircraft ...
Dongwen Xue +3 more
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Multidisciplinary Design Optimization of UAV Airframes [PDF]
If one considers the problem of converting an aircraft mission profile into an airframe design from an optimization theory perspective, it becomes obvious that the search problem comes with all the trimmings. The design space is large and multidimensional, there are multiple and often highly multimodal objectives and constraints, these depending not ...
Sobester, A., Keane, A.J.
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Riemannian optimization and multidisciplinary design optimization [PDF]
Riemannian Optimization (RO) generalizes standard optimization methods from Euclidean spaces to Riemannian manifolds. Multidisciplinary Design Optimization (MDO) problems exist on Riemannian manifolds, and with the differential geometry framework which we have previously developed, we can now apply RO techniques to MDO.
Bakker, Craig, Parks, Geoffrey T
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A New Multidisciplinary Design Optimization Method Accounting for Discrete and Continuous Variables under Aleatory and Epistemic Uncertainties [PDF]
Various uncertainties are inevitable in complex engineered systems and must be carefully treated in design activities. Reliability-Based Multidisciplinary Design Optimization (RBMDO) has been receiving increasing attention in the past decades to ...
Hong-Zhong Huang +4 more
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Multidisciplinary Design Optimization Framework for the Pre Design Stage [PDF]
Presented is a novel framework for performing flexible computational design studies at preliminary design stage. It incorporates a workflow management device (WMD) and a number of advanced numerical treatments, including multi-objective optimization, sensitivity analysis and uncertainty management with emphasis on design robustness. The WMD enables the
Guenov, Marin D. +5 more
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