Design and optimization method for a two-dimensional hydrofoil

2006 ◽  
Vol 18 (S1) ◽  
pp. 316-322
Author(s):  
Ching-Yeh Hsin ◽  
Jia-Lin Wu ◽  
Sheng-Fong Chang
Keyword(s):  
Optimization Method ◽  
Two Dimensional ◽  
Design And Optimization

Design and optimization method for a two-dimensional hydrofoil

2006 ◽  
Vol 18 (3) ◽  
pp. 323-329 ◽  
Author(s):  
Ching-Yeh HSIN ◽  
Jia-Lin WU ◽  
Sheng-Fong CHANG
Keyword(s):  
Optimization Method ◽  
Two Dimensional ◽  
Design And Optimization

Parameter Design of Conformal PML Based on 2D Monostatic RCS Optimization

2021 ◽  
Vol 36 (6) ◽  
pp. 726-733
Author(s):  
Yongjie Zhang ◽  
Xiaofeng Deng
Keyword(s):  
Electromagnetic Scattering ◽  
Simulated Annealing Algorithm ◽  
Design Method ◽  
Optimization Method ◽  
Parameter Design ◽  
Design Parameters ◽  
Absorption Effect ◽  
Absorbing Boundary ◽  
Design And Optimization ◽  
Annealing Algorithm

In this study, 2D finite element (FE) solving process with the conformal perfectly matched layer (PML) is elucidated to perform the electromagnetic scattering computation. With the 2D monostatic RCS as the optimization objective, a sensitivity analysis of the basic design parameters of conformal PML (e.g., layer thickness, loss factor, extension order and layer number) is conducted to identify the major parameters of conformal PML that exerts more significant influence on 2D RCS. Lastly, the major design parameters of conformal PML are optimized by the simulated annealing algorithm (SA). As revealed from the numerical examples, the parameter design and optimization method of conformal PML based on SA is capable of enhancing the absorption effect exerted by the conformal PML and decreasing the error of the RCS calculation. It is anticipated that the parameter design method of conformal PML based on RCS optimization can be applied to the cognate absorbing boundary and 3D electromagnetic computation.

Optimization in a Design System for Complex Products

1992 ◽  
Author(s):  
Johan Malmqvist
Keyword(s):  
Parametric Design ◽  
System Optimization ◽  
Optimization Method ◽  
Design System ◽  
Design Problems ◽  
Design And Optimization ◽  
Complex Products ◽  
Knowledge Based ◽  
Product Models ◽  
Use Of Knowledge

Abstract This paper describes a system for parametric design and optimization of complex products. In the system, the use of knowledge-based and mathematical programming methods is combined. The motivation is that while knowledge-based methods are well suited for modeling products, they are insufficient when dealing with design problems that can be given an optimization formulation. This weakness was approached by including the information necessary for stating an optimization problem in the product models. A system optimization method can then be applied. The system also performs sensitivity analysis and has an interactive optimization module. The use of the system is illustrated by an example; the design and optimization of a two-speed gearbox.

Design and Optimization of Two-Dimensional Laser Source Used for Projection

2013 ◽  
Vol 40 (10) ◽  
pp. 1016001
Author(s):  
张运方 Zhang Yunfang ◽  
李慧 Li Hui ◽  
董辉 Dong Hui ◽  
孔庆善 Kong Qingshan ◽  
施安存 Shi Ancun ◽  
...  
Keyword(s):  
Laser Source ◽  
Two Dimensional ◽  
Design And Optimization

A Novel Design and Optimization Method of an $LCL$ Filter for a Shunt Active Power Filter

2014 ◽  
Vol 61 (8) ◽  
pp. 4000-4010 ◽  
Author(s):  
Qian Liu ◽  
Li Peng ◽  
Yong Kang ◽  
Shiying Tang ◽  
Deliang Wu ◽  
...  
Keyword(s):  
Active Power Filter ◽  
Optimization Method ◽  
Active Power ◽  
Lcl Filter ◽  
Shunt Active Power Filter ◽  
Design And Optimization ◽  
Power Filter ◽  
Novel Design

Two-Dimensional Team Lifting Prediction With Different Box Weights

2020 ◽  
Author(s):  
Asif Arefeen ◽  
Yujiang Xiang
Keyword(s):  
Joint Angle ◽  
Inverse Dynamics ◽  
Reaction Force ◽  
Optimization Method ◽  
Two Dimensional ◽  
Dynamics Modeling ◽  
Floating Base ◽  
Grasping Forces ◽  
Design Variables ◽  
Grasping Force

Abstract A novel multibody dynamics modeling method is proposed for two-dimensional (2D) team lifting prediction. The box itself is modeled as a floating-base rigid body in Denavit-Hartenberg representation. The interactions between humans and box are modeled as a set of grasping forces which are treated as unknowns (design variables) in the optimization formulation. An inverse-dynamics-based optimization method is used to simulate the team lifting motion where the dynamic effort of two humans is minimized subjected to physical and task-based constraints. The design variables are control points of cubic B-splines of joint angle profiles of two humans and the box, and the grasping forces between humans and the box. Two numerical examples are successfully simulated with different box weights (20 Kg and 30 Kg, respectively). The humans’ joint angle, torque, ground reaction force, and grasping force profiles are reported. The joint angle profiles are validated with the experimental data.

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