A New hybrid LGPMBWM-PIV method for automotive material selection
Yükleniyor...
Tarih
2021
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Slovensko Drustvo Informatika
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Efforts are continuously being made by researchers to improve fuel efficiency and to reduce CO2 emissions from the passenger cars. To achieve these goal, recent trend is to make the cars components light in weight for which manufacturing car roofs using natural fiber reinforced composites (NFCs) is one of the method. Several natural fibers (NFs)are available as alternative reinforcements for the fabrication of NFCs. Different NFs possess different properties and therefore, it is necessary to select the most appropriate natural fiber for fabrication of the composites which in turn will lead to the desired performance of the vehicle. Selection of the optimal natural fiber, amongst the several alternatives, is basically a multi criteria decision making (MCDM) problem as selection is based on the evaluation of several conflicting criteria. In this study, twelve alternative natural fibers (Flax, Hemp, Jute, Kenaf, Ramie, Okra, PALF, Coir, Isora, Cotton, Banana and Sisal) and six evaluation criteria (Tensile strength, Stiffness, Failure strain, Density, Degradation temperature and Moisture gain) are considered and selection of the optimal NF is made using a newly developed hybrid MCDM method i.e. Linear goal programming model for Best-Worst method (LGPMBWM) and Proximity index value method (PIV). Results of the study reveal that among all considered natural fibers, Ramie fiber is the most suitable alternative for the fabrication of composites and coir fiber is the worst candidate for the same. Ranking results were also supported by five other MCDM methods as there was a strong correlation between PIV and other MCDM methods.
Açıklama
WOS:000752461700007
Anahtar Kelimeler
Natural fibres, Car roof, Automotive material selection, Linear goal programming model for best worst method, (LGPMBWM)PIV method
Kaynak
Informatica- An International Journal of Computing and Informatics
WoS Q Değeri
N/A
Scopus Q Değeri
Q3
Cilt
45
Sayı
1
Künye
Wakeel, S., Bingöl, S., Ahmad, S., Bashir, M.N., Emamat, M.S.M.M., Ding, Z. ve diğerleri. (2021). A New hybrid LGPMBWM-PIV method for automotive material selection. Informatica- An International Journal of Computing and Informatics, 45(1), 105-115.
