Predicting the effect of adherend dimensions on the strength of adhesively bonded joints using M5P and M5 classifiers
Küçük Resim Yok
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Heidelberg
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The configuration of adhesive bonding, especially adhesive-adherent interface, is very important in adhesive bonding. Adherend thickness, overlap length and adherend width have a great effect on failure load. It is important to know the effect of these parameters in the estimation of failure load. In this study, two models based on data mining techniques were generated for the estimation of the effect of adherend thickness, width and overlap length on failure load in adhesively bonding joints. One of the models is based on the M5P model tree and the other is based on the M5 rule algorithm. Experimental data were used to evaluate the performance of the models. The correlation coefficient parameter was used to compare the models' performance. The evaluated correlation coefficient is 93% for the M5P model tree and 96% for the M5 rule.
Açıklama
Anahtar Kelimeler
Adhesives, Adhesively bonded joints, Data mining, M5P model tree, M5 rule
Kaynak
Journal of The Brazilian Society of Mechanical Sciences and Engineering
WoS Q Değeri
Q2
Scopus Q Değeri
Q2
Cilt
42
Sayı
9
