Multi-Objective Optimization of Process Parameters for Drilling Fiber- Metal Laminate Using a Hybrid GRA-PCA Approach
Yükleniyor...
Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Belgrade University
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
This study investigated the effects of drilling parameters and cutting tool coating conditions on the thrust force, surface roughness, and delamination factor in the drilling of fiber-reinforced carbon reinforced aluminum laminate (CARALL) composite, a commercial type of fibermetal laminate. Gray relational analysis (GRA) was used as a multiobjective optimization method to determine optimum processing parameters and principal component analysis (PCA) was used to determine the weights. According to the findings of this experimental study, the most effective control factors for the thrust force, surface roughnes, and delamination factor were the feed rate, tool coating conditioncutting speed interaction, and tool coating condition, with 93.87%, 66.504%, and 29.137% contribution rates, respectively. From the results of the GRA-PCA analysis, the optimum levels of the control factors were determined as 110 m/min cutting speed, 0.1 mm/rev feed rate, and the uncoated tool.
Açıklama
Anahtar Kelimeler
CARALL composite, Delamination, Drilling, Fiber-metal laminate, Surface roughness, Thrust force
Kaynak
FME Transactions
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
49
Sayı
2
Künye
Ekici, E., Motorcu, A. R., & Uzun, G. (2021). Multi-objective optimization of process parameters for drilling fiber-metal laminate using a hybrid GRAPCA approach. FME Transactions, 49(2), 356-366. doi:10.5937/fme2102356E
