Parametric Modal Study and Optimization of the Floor Pan of a B-Segment Automotive Using a Hybrid Method of Taguchi and a Newly Developed MCDM Model

Shojaeefard, Mohammad Hassan; Khalkhali, Abolfazl; Lahijani, Abdolah Tavakoli

doi:10.1590/1679-78253189

Cited by 3 publications

(1 citation statement)

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“…In this way, for a more precise study of different parameters and their effects, a sensitivity analysis can be used. In this regard, different approaches such as Taguchi and analysis of variance (ANOVA) are available (Shojaeefard et al, 2016;Khalkhali et al, 2017a). Using these techniques one may observe the effect of design parameters on desired or required outputs.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity analysis and optimization for occupant safety in automotive frontal crash test

Asadinia

Khalkhali

Saranjam

2018

Lat. Am. j. solids struct.

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Nowadays, safety is a competitive advantage for automotive products and therefore receives considerable attention by automotive research centers. In this paper, a frontal crash test of sedan product of an under development platform is simulated and occupant head injuries are investigated based on ECE R94 regulation. First, an initial evaluation of the crash behavior of the sedan car is carried out and then airbag, dummy and seat belt are added to the model to study occupant head injuries under crash test. In this study, peak head acceleration and head injury criteria (HIC36) are considered as two output parameters based on ECE R94 regulation. Considering these two output parameters, sensitivity analysis and optimization are performed using Taguchi and analysis of variance (ANOVA) methods. In this way, airbag distance to dummy, trigger time, initial inflator gas temperature and tank pressure are considered as input parameters. Obtained results show that in all computer experiments designed by Taguchi responses values satisfy the requirements of ECE R94. Two different out-of-position conditions are considered by reducing the distance between dummy and airbag relative to the optimum design obtained by Taguchi. The worst case of design and its response values are also predicted using Taguchi. Finally, re-evaluating finite element analyses are performed based on the optimum and the worst cases. The results of these simulations show the validity of approach of this paper.

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Section: Introductionmentioning

confidence: 99%