Automotive Applications Using A Robust Design Approach

Author(s):  
Ching Hsieh
2015 ◽  
Vol 6 (2/3) ◽  
pp. 154 ◽  
Author(s):  
B.W. Shivaraj ◽  
H.N. Narasimha Murthy ◽  
M. Krishna ◽  
B.M. Nagabhushana ◽  
Sushanth D. Shandilya ◽  
...  

Author(s):  
Patrick N. Koch ◽  
Janet K. Allen ◽  
Farrokh Mistree ◽  
Dimitri Mavris

Abstract To facilitate the effective solution of multidisciplinary, multiobjective complex design problems, a departure from the traditional parametric design analysis and single objective optimization approaches is necessary in the preliminary stages of design. A necessary tradeoff becomes one of efficiency vs. accuracy as approximate models are sought to allow fast analysis and effective exploration of a preliminary design space. In this paper we apply a general robust design approach for efficient and comprehensive preliminary design to a large complex system: a high speed civil transport (HSCT) aircraft. Specifically, we investigate the HSCT wing configuration design, incorporating life cycle economic uncertainties to identify economically robust solutions. The approach is built on the foundation of statistical experimentation and modeling techniques and robust design principles, and is specialized through incorporation of the compromise Decision Support Problem for multiobjective design. For large problems however, as in the HSCT example, this robust design approach developed for efficient and comprehensive design breaks down with the problem of size — combinatorial explosion in experimentation and model building with number of variables — and both efficiency and accuracy are sacrificed. Our focus in this paper is on identifying and discussing the implications and open issues associated with the problem of size for the preliminary design of large complex systems.


2019 ◽  
pp. 1-16 ◽  
Author(s):  
David S. Haydon ◽  
Ross A. Pinder ◽  
Paul N. Grimshaw ◽  
William S. P. Robertson

2012 ◽  
Vol 215-216 ◽  
pp. 804-807
Author(s):  
Xiang Dong He ◽  
Jia Peng Chu

In engineering design, according to not considering past experience information; hence, to make structure parameters for achieving high confidence level, much data for traditional reliability-based robust design must be adequately collected, analyzed, and tested. However, in practical engineering, it is very difficult for doing much test, only for getting in the form of finite test samples. Under the conditions, it has much difficult for the traditional reliability-based robust design. In the article, we present a new reliability-based robust design method that solves the form of incomplete information. The method adopts a Bayesian inference technique to estimate reliability, gives definition of Bayesian reliability. In the research, the mechanical parts bayesian reliability-based robust design mathematical model is established and the bayesian reliability-based robust design approach is presented. The numerical results illustrates the method presented is an efficient and practical reliability-based robust design approach.


Measurement ◽  
2020 ◽  
Vol 161 ◽  
pp. 107809 ◽  
Author(s):  
Haorong Wu ◽  
Hualin Zheng ◽  
Xiaoxiao Li ◽  
Wenkuan Wang ◽  
Xiping Xiang ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document