A Proposal of Robust Design Method for Deriving Adjustable Range

2011 ◽  
Vol 311-313 ◽  
pp. 2332-2335 ◽  
Author(s):  
Suguru Kimura ◽  
Takeo Kato ◽  
Yoshiyuki Matsuoka
Keyword(s):  
Robust Design ◽  
Design Method ◽  
Previous Method ◽  
Product Performance ◽  
Design Solution ◽  
Control Factor ◽  
Design Problems ◽  
Solution Design ◽  
Adjustable Range ◽  
Robust Design Method

Due to increased individuation of user needs and market globalization, the demands for product performance have diversified. However, a diversified performance is difficult to be obtained a unique design solution (design value). In a previous study, the robust design method (RDM), which ensures products with a robust performance under diverse conditions, was improved. This method was used to evaluate performance robustness with respect to an adjustable control factor (ACF), which is a factor that can be adjusted by the user. Unfortunately, the RDM is not applicable to design problems that have several ACFs due to the increased calculation amount. To resolve this issue, this study improves the previous method by applying a genetic algorithm and a method to extract the values of ACFs employed in the robustness calculation. The improved RDM was applied to two numerical examples to confirm its effectiveness.

Robust Design Method for Diverse Conditions

2009 ◽  
Author(s):  
Atsuki Watai ◽  
Satoshi Nakatsuka ◽  
Takeo Kato ◽  
Yoshiki Ujiie ◽  
Yoshiyuki Matsuoka
Keyword(s):  
Probability Density Function ◽  
Robust Design ◽  
Design Method ◽  
The Other ◽  
Control Factor ◽  
Objective Functions ◽  
Design Problems ◽  
Adjustable Range ◽  
Robust Design Method ◽  
Vehicle Seat

This study demonstrates a robust design method for diverse conditions that are diverse design object, user features, and the environments that the object will be used in. In diverse conditions, two design problems are conceivable. One of the two problems occurs when an objective characteristic is in a non-normal distribution due to strong non-linear, discontinuous or stochastically fluctuant objective functions. We focus on the probability density function of the objective characteristic and propose an index to estimate the feasibility of an objective characteristic within a tolerance. The other problem is when a control factor has an adjustable range that enables users to adjust to meet their needs. To derive the optimum adjustable range of the control factor, we propose an index to estimate the ratio of the sum of sets of the probability of the objective characteristic within the tolerance. The proposed method using these indices is applied to an example where the appropriate cushion angle of a public vehicle seat is determined. As a result, the solutions using the indices are more robust than the conventional one.

Robust Design Method Using Adjustable Control Factors

2014 ◽  
Vol 8 (3) ◽  
pp. 333-343 ◽  
Author(s):  
Takeo Kato ◽  
◽  
Masatoshi Muramatsu ◽  
Suguru Kimura ◽  
Yoshiyuki Matsuoka ◽  
...  
Keyword(s):  
Robust Design ◽  
Machine Tools ◽  
Design Method ◽  
The Other ◽  
Control Factor ◽  
Contribution Ratio ◽  
Robust Performance ◽  
Control Factors ◽  
Two Indices ◽  
Robust Design Method

Design that ensures robust performance for diverse users and environments has received much attention. Previous research proposed a Robust Design Method (RDM) that considered the adjustable control factors (ACFs) of mechanisms such as the servo mechanisms of machine tools or recliner mechanisms of public seats. This method derived the optimum adjustment ranges of the ACFs only after both these factors and their (dependent or independent) relationships had been identified in the design problem. This research improves on the previous RDM to enable designers to select ACFs and their relationships. This method contains two indices. One is the standard deviation of each control factor, used for finding ACFs that need not be adjusted. The other is the contribution ratio of the eigenvalues calculated from the variance-covariance matrix of the ACFs, used for finding dependent relationships. This method effectively derives the optimum adjustment ranges of the ACFs and their relationships based on these indices. Numerical and design examples are presented to demonstrate the practicality of the proposed method.

scholarly journals Novel Robust Design Method of Multilayer Optical Coatings

ISRN Optics ◽  
2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Suyong Wu ◽  
Xingwu Long ◽  
Kaiyong Yang
Keyword(s):  
Robust Design ◽  
Optimization Design ◽  
Design Method ◽  
Analytical Calculation ◽  
Design Procedure ◽  
Deposition Process ◽  
Practical Significance ◽  
Optical Coatings ◽  
Optical Films ◽  
Robust Design Method

We present a novel fast robust design method of multilayer optical coatings. The sensitivity of optical films to production errors is controlled in the whole optimization design procedure. We derive an analytical calculation model for fast robust design of multilayer optical coatings. We demonstrate its effectiveness by successful application of the robust design method to a neutral beam splitter. It is showed that the novel robust design method owns an inherent fast computation characteristic and the designed film is insensitive to the monitoring thickness errors in deposition process. This method is especially of practical significance to improve the mass production yields and repetitive production of high-quality optical coatings.

Robust Layout Synthesis of a MEM Crab-Leg Resonator Using a Constrained Genetic Algorithm

2007 ◽  
Author(s):  
Zhun Fan ◽  
Sofiane Achiche
Keyword(s):  
Genetic Algorithm ◽  
Robust Design ◽  
Optimization Problem ◽  
Design Method ◽  
Research Work ◽  
Constrained Optimization Problem ◽  
Geometric Uncertainties ◽  
Layout Synthesis ◽  
Target Performance ◽  
Robust Design Method

The research work carried out in this paper introduces a robust design method for layout synthesis of MEM resonator subject to inherent geometric uncertainties such as the fabrication error on the sidewall of the structure. The robust design problem is formulated as a multi-objective constrained optimization problem with certain assumptions and treated by a special constrained genetic algorithm. The MEM design used for validation is a crab-leg resonator taken from the literature. The results show that the approach proposed in this research can lead to design results that meet the target performance and are less sensitive to geometric uncertainties than typical designs.

Robust Design Method of Multilayer Antireflection Coating for Organic Solar Cells

2013 ◽  
Vol E96.C (4) ◽  
pp. 604-611 ◽  
Author(s):  
Shigeru KUBOTA ◽  
Kensaku KANOMATA ◽  
Katsuaki MOMIYAMA ◽  
Takahiko SUZUKI ◽  
Fumihiko HIROSE
Keyword(s):  
Solar Cells ◽  
Robust Design ◽  
Organic Solar Cells ◽  
Design Method ◽  
Antireflection Coating ◽  
Robust Design Method

scholarly journals Robust optimization design of structures based on the specular reflection algorithm

2019 ◽  
Vol 11 (3) ◽  
pp. 168781401983413
Author(s):  
Qisong Qi ◽  
Qing Dong ◽  
Yunsheng Xin
Keyword(s):  
Robust Design ◽  
Structural Design ◽  
Optimization Design ◽  
Design Method ◽  
Specular Reflection ◽  
Design Parameters ◽  
Theoretical Design ◽  
Recent Advancement ◽  
Robust Optimization Design ◽  
Robust Design Method

The nominal values of structural design parameters are usually calculated using a traditional deterministic optimization design method. However, owing to the failure of this type of method to consider potential variations in design parameters, the theoretical design results can be far from reality. To address this problem, the specular reflection algorithm, a recent advancement in intelligence optimization, is used in conjunction with a robust design method based on sensitivity. This method not only is able to fully consider the influence of parameter uncertainty on the design results but also has strong applicability. The effectiveness of the proposed method is verified by numerical examples, and the results show that the robust design method can significantly improve the reliability of the structure.

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