The Robust Optimization Design for Breaking Spring of Spring Actuator of Vacuum Circuit Breaker

2011 ◽  
Vol 199-200 ◽  
pp. 1217-1222
Author(s):  
Bo Sun ◽  
Gang Chen ◽  
Xiao Ming Liu ◽  
Er Zhi Wang
Keyword(s):  
Robust Optimization ◽  
Optimization Design ◽  
Circuit Breaker ◽  
Structure Parameters ◽  
Stiffness Coefficient ◽  
Nonlinear Programming Problem ◽  
Spring Stiffness ◽  
Vacuum Circuit Breaker ◽  
Optimum Parameters ◽  
Robust Optimization Design

In this paper, the concept of robust optimization design for the breaking spring of spring actuator of vacuum circuit breaker is presented. The function, that is to minimize the error and maximal variations of spring stiffness coefficient related with structure parameters and its tolerances, is chosen as the objective function, and the acceptable region of the tolerances is formed by some constraints. The optimum parameters of the breaking spring are given by solving the nonlinear programming problem with multi-target and two-level optimization, and the optimization results are discussed.

Robust Optimization Design for Spring

2012 ◽  
Vol 190-191 ◽  
pp. 1376-1379
Author(s):  
Gang Chen ◽  
Yu Fei Ma
Keyword(s):  
Mathematical Model ◽  
Robust Optimization ◽  
Objective Function ◽  
Optimization Design ◽  
Structure Design ◽  
Structure Parameters ◽  
Stiffness Coefficient ◽  
Spring Stiffness ◽  
Optimum Structure ◽  
Robust Optimization Design

In here, a robust optimization mathematical model of the spring is presented. To minimize the error and maximal variations of spring stiffness coefficient related with structure parameters and its tolerances is chosen as its objective function, and the acceptable region is formed by some constraints. The theory is applied to the structure design of the closeing spring of spring actuator, the closeing characteristics are all satisfied at the optimum structure parameters, and the optimization results are discussed.

The Robust Optimization Design for Cylindrical Helical Compression Spring

2012 ◽  
Vol 433-440 ◽  
pp. 2201-2205 ◽  
Author(s):  
Hong Zhao ◽  
Gang Chen ◽  
Jun Zhe Zhou
Keyword(s):  
Mathematical Model ◽  
Robust Optimization ◽  
Optimization Design ◽  
Structure Design ◽  
Structure Parameters ◽  
Stiffness Coefficient ◽  
Spring Stiffness ◽  
Optimum Structure ◽  
Compression Spring ◽  
Robust Optimization Design

In here, a robust optimization mathematical model of the cylindrical helical compression spring is presented. To minimize the error and maximal variations of spring stiffness coefficient related with structure parameters and its tolerances is chosen as its objective function, and the acceptable region is formed by some constraints. The theory is applied to the structure design of the breaking spring of spring actuator, the breaking characteristics are all satisfied at the optimum structure parameters, and the optimization results are discussed.

Robust optimization design for fatigue life

2011 ◽  
Vol 47 (10) ◽  
pp. 1186-1190 ◽  
Author(s):  
Feng Li ◽  
Guangwei Meng ◽  
Lirong Sha ◽  
Liming Zhou
Keyword(s):  
Fatigue Life ◽  
Robust Optimization ◽  
Optimization Design ◽  
Robust Optimization Design

scholarly journals Multi-Objective Robust Optimization Using a Postoptimality Sensitivity Analysis Technique: Application to a Wind Turbine Design

2015 ◽  
Vol 137 (1) ◽  
Author(s):  
Weijun Wang ◽  
Stéphane Caro ◽  
Fouad Bennis ◽  
Ricardo Soto ◽  
Broderick Crawford
Keyword(s):  
Sensitivity Analysis ◽  
Robust Optimization ◽  
Wind Turbine ◽  
Optimization Design ◽  
Optimization Problems ◽  
Design Environment ◽  
Multi Objective ◽  
Pareto Ranking ◽  
Analysis Technique ◽  
Robust Optimization Design

Toward a multi-objective optimization robust problem, the variations in design variables (DVs) and design environment parameters (DEPs) include the small variations and the large variations. The former have small effect on the performance functions and/or the constraints, and the latter refer to the ones that have large effect on the performance functions and/or the constraints. The robustness of performance functions is discussed in this paper. A postoptimality sensitivity analysis technique for multi-objective robust optimization problems (MOROPs) is discussed, and two robustness indices (RIs) are introduced. The first one considers the robustness of the performance functions to small variations in the DVs and the DEPs. The second RI characterizes the robustness of the performance functions to large variations in the DEPs. It is based on the ability of a solution to maintain a good Pareto ranking for different DEPs due to large variations. The robustness of the solutions is treated as vectors in the robustness function space (RF-Space), which is defined by the two proposed RIs. As a result, the designer can compare the robustness of all Pareto optimal solutions and make a decision. Finally, two illustrative examples are given to highlight the contributions of this paper. The first example is about a numerical problem, whereas the second problem deals with the multi-objective robust optimization design of a floating wind turbine.

Simulation and Robust Optimization Design for Electromagnetic Railgun Performance

2019 ◽  
Vol 47 (6) ◽  
pp. 2964-2970
Author(s):  
Xiaobing Shang ◽  
Tao Chao ◽  
Ping Ma ◽  
Ming Yang
Keyword(s):  
Robust Optimization ◽  
Optimization Design ◽  
Robust Optimization Design
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