International Journal of Mechanical and Production Engineering (IJMPE)
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Statistics report
Aug. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 86
Paper Published : 2031
No. of Authors : 5794
  Journal Paper


Paper Title :
Prediction of The Effect of The Material and Adhesive Thickness on Tensile Capacity of T-Joints

Author :Yasar Ayaz

Article Citation :Yasar Ayaz , (2018 ) " Prediction of The Effect of The Material and Adhesive Thickness on Tensile Capacity of T-Joints " , International Journal of Mechanical and Production Engineering (IJMPE) , pp. 40-42, Volume-6,Issue-12

Abstract : Data mining techniques have been mostly used in many engineering applications In this study, the prediction of the effect of the thickness of the material and the thickness of the adhesive on the failure load in the T joints bonding was investigated. Tree model M5P and M5 rules model classifiers were used for estimation. 24 experimental instances from the literature were used as data. It was seen that the effect of materials and adhesives thickness on the failure load in T joints can be predicted by using M5P and M5 rule classifiers. Keywords - Data mining; M5 rule; Tree model M5P; Adhesive

Type : Research paper


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