Multi Criteria Decision Aiding Techniques to Select Designs After Robust Design Optimization

2007 ◽  
pp. 619-632
Author(s):  
Mattia Ciprian ◽  
Valentino Pediroda ◽  
Carlo Poloni
Keyword(s):  
Design Optimization ◽  
Robust Design ◽  
Robust Design Optimization ◽  
Decision Aiding

Dimension reduction method for reliability-based robust design optimization

2008 ◽  
Vol 86 (13-14) ◽  
pp. 1550-1562 ◽  
Author(s):  
Ikjin Lee ◽  
K.K. Choi ◽  
Liu Du ◽  
David Gorsich
Keyword(s):  
Dimension Reduction ◽  
Design Optimization ◽  
Robust Design ◽  
Reduction Method ◽  
Robust Design Optimization ◽  
Dimension Reduction Method

Robust Design Optimization for Crashworthiness of Vehicle Side Impact

2017 ◽  
Vol 3 (3) ◽  
Author(s):  
Souvik Chakraborty ◽  
Tanmoy Chatterjee ◽  
Rajib Chowdhury ◽  
Sondipon Adhikari
Keyword(s):  
Design Optimization ◽  
New Product Development ◽  
Robust Design ◽  
Automobile Industry ◽  
Human Error ◽  
Differential Evolution Algorithm ◽  
Side Impact ◽  
Robust Design Optimization ◽  
Parameter Uncertainties ◽  
Design Engineers

Optimization for crashworthiness is of vast importance in automobile industry. Recent advancement in computational prowess has enabled researchers and design engineers to address vehicle crashworthiness, resulting in reduction of cost and time for new product development. However, a deterministic optimum design often resides at the boundary of failure domain, leaving little or no room for modeling imperfections, parameter uncertainties, and/or human error. In this study, an operational model-based robust design optimization (RDO) scheme has been developed for designing crashworthiness of vehicle against side impact. Within this framework, differential evolution algorithm (DEA) has been coupled with polynomial correlated function expansion (PCFE). An adaptive framework for determining the optimum basis order in PCFE has also been presented. It is argued that the coupled DEA–PCFE is more efficient and accurate, as compared to conventional techniques. For RDO of vehicle against side impact, minimization of the weight and lower rib deflection of the vehicle are considered to be the primary design objectives. Case studies by providing various emphases on the two objectives have also been performed. For all the cases, DEA–PCFE is found to yield highly accurate results.

FEM based robust design optimization with Agros and Ārtap

2021 ◽  
Vol 81 ◽  
pp. 618-633 ◽  
Author(s):  
Pavel Karban ◽  
David Pánek ◽  
Tamás Orosz ◽  
Iveta Petrášová ◽  
Ivo Doležel
Keyword(s):  
Design Optimization ◽  
Robust Design ◽  
Robust Design Optimization
Sign in / Sign up

Export Citation Format

Share Document