Six sigma robust optimization method based on a pseudo single-loop strategy and RFR-DBN with insufficient samples

2021 ◽  
Vol 257 ◽  
pp. 106653
Author(s):  
Huijie Yu ◽  
Jiaqi Yang ◽  
Xiaohong Ding ◽  
Haihua Wang ◽  
Shenlong Wang
Keyword(s):  
Robust Optimization ◽  
Six Sigma ◽  
Optimization Method ◽  
Single Loop

scholarly journals Robust Optimization in HTS Cable Based on DEPSO and Design for Six Sigma

2008 ◽  
Author(s):  
Shuhong Wang ◽  
Xinying Liu ◽  
Jie Qiu ◽  
Jian Guo Zhu ◽  
Youguang Guo ◽  
...  
Keyword(s):  
Robust Optimization ◽  
Six Sigma ◽  
Design For Six Sigma

Numerical Simulation Methodology for Robust Optimization Using Six Sigma Analysis

2021 ◽  
Author(s):  
Hari Venkata Santosh Bhatta ◽  
Naveenkumar V ◽  
Abdur-Rasik Khajamohideen ◽  
Benoit Couturier ◽  
Rajeshkumar Ganesan
Keyword(s):  
Numerical Simulation ◽  
Robust Optimization ◽  
Six Sigma ◽  
Simulation Methodology

Generative Optimization for Automatic Creation of 3D CAD Platforms

2021 ◽  
Author(s):  
William F. Quintero-Restrepo ◽  
Brian K. Smith ◽  
Junfeng Ma
Keyword(s):  
Evolutionary Algorithms ◽  
Six Sigma ◽  
Design Space ◽  
Optimization Method ◽  
Efficiency Improvement ◽  
3D Cad ◽  
Systems Model ◽  
Electric Machinery ◽  
Definition Of ◽  
Six Sigma Approach

Abstract The efficient creation of 3D CAD platforms can be achieved by the optimization of their design process. The research presented in this article showcases a method for allowing such efficiency improvement. The method is based on the DMADV six sigma approach. During the Define step, the definition of the scope and design space is established. In the Measure step, the initial evaluation of the platforms to be improved is done with the help of a Metrics framework for 3D CAD platforms. The Analyze Step includes the identification and optimization of the systems’ model of the process based on the architecture and the multiple objectives required for the improvement. The optimization method used that is based on evolutionary algorithms allows for the identification of the best improvement alternatives for the next step. During Design step of the method, the improvement alternatives are planned and executed. In the final Verification step, the evaluation of the improved process is tested against the previous status with the help of the Metrics Framework for 3D CAD platforms. The method is explained with an example case of a 3D CAD platform for creating metallic boxes for electric machinery.

scholarly journals Robust Optimization in HTS Cable Based on Design for Six Sigma

2008 ◽  
Vol 44 (6) ◽  
pp. 978-981 ◽  
Author(s):  
Xinying Liu ◽  
Shuhong Wang ◽  
Jie Qiu ◽  
Jian Guo Zhu ◽  
Youguang Guo ◽  
...  
Keyword(s):  
Robust Optimization ◽  
Six Sigma ◽  
Design For Six Sigma

Research on dynamic characteristics and fatigue robust optimization of integrated vehicle model

2018 ◽  
Vol 232 (14) ◽  
pp. 1982-1999
Author(s):  
Bobo Li ◽  
Huiqun Yuan ◽  
Tianyu Zhao ◽  
Guangding Wang
Keyword(s):  
Experimental Data ◽  
Robust Optimization ◽  
Dynamic Characteristics ◽  
Six Sigma ◽  
Multiple Frequency ◽  
Heavy Duty ◽  
Vehicle Model ◽  
Design For Six Sigma ◽  
Frequency Components ◽  
Simulation Results

This paper investigates the dynamic characteristics and fatigue robust optimization of heavy-duty tractor. First, this paper presents a vehicle model with sub-structure method. Based on the theory of base motion, the structure dynamic characteristics are analyzed. Second, the accuracy of the method is verified by comparing the experimental results with the simulation results. Also, the dynamic response and the transfer function of vehicle are obtained using the above methods. Combined with the experimental data, the methods of random multiple frequency components and multi-axial fatigue life are adopted to analyze the fatigue damage of the heavy-duty tractor under different road conditions. Finally, the Design for Six Sigma is used to optimize the vehicle’s structure. The results show that by using the proposed method, the dynamic characteristics of the vehicle can be analyzed accurately and effectively, robustness of the vehicle can be improved, and mass of the vehicle can be reduced.

A Robust Optimization Method for Systems With Significant Nonlinear Effects

1993 ◽  
Author(s):  
Jyh-Cheng Yu ◽  
Kosuke Ishii
Keyword(s):  
Heat Treatment ◽  
Robust Optimization ◽  
Nonlinear Effects ◽  
Optimization Method ◽  
Post Heat Treatment ◽  
Worst Case ◽  
Estimation Scheme ◽  
Optimization Methodology ◽  
Major Factors ◽  
The Cost

Abstract This paper describes a robust optimization methodology for design involving either complex simulations or actual experiments. The proposed procedure optimizes the worst case response that consists of a weighted sum of expected mean and response variance. The estimation scheme for expected mean and variance adopts the modified 3-point Gauss quadrature integration to assure superior accuracy for systems with significant nonlinear effects. We apply the proposed method to the robust design of geometric parameters of heat treated parts to minimize the cost of post heat treatment operations. The paper investigates the major factors influencing geometric distortions due to heat treatment and the rules of thumb in design. The study focuses on relating dimensional distortion to the design of part geometry. To illustrate the utility of the proposed method, we present the formulation of a case study on allocation of dimensions of preheat treated (green) shafts to minimize the cost of post heat treatment operations. The final result is not presented yet pending the completion of further experiments.

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