Prediction of tool wear using regression and ANN models in end-milling operation a critical review

Tarkan Erdik; Zekai Şen

doi:10.1007/s00170-008-1758-0

Prediction of tool wear using regression and ANN models in end-milling operation a critical review

Tarkan Erdik^*, Zekai Şen

^*Bu çalışma için yazışmadan sorumlu yazar

İnşaat Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Dergiye katkı › Makale › bilirkişi

9 Atıf (Scopus)

Özet

Palanisamy et al. (Int J Adv Manuf Technol Volume 37:29-41, 2008) focus on two different models in their research, namely, regression model (RM) artificial neural network (ANN) for predicting tool wear. The prediction values from RM and ANN models are compared with the experimental values conducted by them. The discussion shall focus on the following four main points that are not considered in the study.

Orijinal dil	İngilizce
Sayfa (başlangıç-bitiş)	765-766
Sayfa sayısı	2
Dergi	International Journal of Advanced Manufacturing Technology
Hacim	43
Basın numarası	7-8
DOI'lar	https://doi.org/10.1007/s00170-008-1758-0
Yayın durumu	Yayınlandı - Ağu 2009

Belgeye Erişim

10.1007/s00170-008-1758-0

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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abstract = "Palanisamy et al. (Int J Adv Manuf Technol Volume 37:29-41, 2008) focus on two different models in their research, namely, regression model (RM) artificial neural network (ANN) for predicting tool wear. The prediction values from RM and ANN models are compared with the experimental values conducted by them. The discussion shall focus on the following four main points that are not considered in the study.",

keywords = "ANN, Artificial intelligence, Regression method, Tool wear",

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Prediction of tool wear using regression and ANN models in end-milling operation a critical review

Özet

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

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