Comparative analysis of multi criteria decision making techniques for material selection of brake booster valve body

(چکیده مقاله) :
Abstract :

Braking system is one of the most critical parts in a vehicle, and one of the main components
of this system is brake booster valve body which plays a significant role in safety
standards of the vehicle. The working conditions under the hood of the vehicle necessitate
the valve body to have some special properties. This component should have high mechanical
strength and the ability to maintain this strength at elevated temperatures. On the
other hand, lower weight and lower cost are always desirable in industries. The material
selection for the valve body is very important and should satisfy the aforementioned requirements.
In order to select the best material for a large number of alternatives
considering many different criteria, multi criteria decision making (MCDM) methods are
used in this study. The weighting of criteria is carried out by entropy and analytic hierarchy
process (AHP) methods and a combination of these two techniques are used as the final
weights. MOORA, TOPSIS and VIKOR methods are used in this paper for selecting the best
material for braking booster valve body. The alternative materials were ranked using these
methods and the results of the analysis were compared using Spearman's rank correlation.
PET-gf35 (PET reinforced with 35 wt% glass fiber) was found to be the best material for the
valve body. Owing to the desirability of the results, the results of this study can be used in
automotive industry in order to enhance the material selection process.

(توضیحات تکمیلی) :

(توضیحات تکمیلی) :
Description :

مقاله ISI انگلیسی اصلی
سال انتشار:2018
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تعداد صفحات فایل ISI انگلیسی اصلی: 9 صفحه


Authors / Descriptions(نویسندگان/توضیحات): مقاله ISI سال انتشار2018 \ Milad Moradian, Vahid Modanloo*, Soroush Aghaiee
Sent date(تاریخ ارسال) : 1397/10/23  |   1/13/2019
Number of visits(تعداد بازدید): 729
Key words (کلمات کلیدی): Brake booster Valve body Material selection Weighting Ranking
Number of pages(تعداد صفحات) : 9
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