Prediction of Surface Roughness considering Cutting Parameters and Humidity Condition in End Milling of Polyamide Materials
Yükleniyor...
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Hindawi Ltd
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
To know the impact of processing parameters of PA6G under different humidity conditions is important as it is vulnerable to humidity up to 7 %. This study investigated the effect of cutting parameters to surface roughness quality in wet and dry conditions. Artificial Neural Network (ANN) modeling is also developed with the obtained results from the experiments. Humidity condition, tool type, cutting speed, cutting rate, and depth of cutting parameters were used as input and average surface roughness value were used as output of the ANN model. Testing results showed that ANN can be used for prediction of average surface roughness.
Açıklama
Anahtar Kelimeler
Kaynak
Computational Intelligence And Neuroscience
WoS Q Değeri
Q2
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Mustafa Bozdemir,(2018). "Prediction of Surface Roughness considering Cutting Parameters and Humidity Condition in End Milling of Polyamide Materials", Computational Intelligence and Neuroscience, vol. 2018, Article ID 5850432, 7 pages.
