1. DergiPark
  2. Journal of Soft Computing and Artificial Intelligence
  3. Arşiv
  4. Cilt 1, Sayı 2
Yıl 2020, Cilt 1 , Sayı 2, Sayfalar 63 - 72 2020-12-29

Estimation of Cutting Forces Obtained by Machining AISI 1050 Steel with Cryo-Treated and Untreated Cutting Tool Insert by Using Artificial Neural Network

Şehmus BADAY [1] , Onur ERSÖZ [2]

Öz

Cutting force is one of most important criteria for evaluating machinability of workpieces. For this purpose, in present study, prediction of cutting forces obtained by turning AISI 1050 steel with cryo-treated and untreated CVD-coated cutting tool inserts with artificial neural networks (ANN) was investigated. Machining parameters such as feed rate, cutting speed and conditions of cutting tool insert were selected. These parameters were used for input parameters while cutting force was used for output parameter. The employed ANN structure was chosen according to network type, training function, adaption learning function and performance function as feed-forward back propagation, TRAINLM, LEARNGD and MSE, respectively. Thus, the estimation values of cutting forces attained from ANN model during training and experimental values coincide perfectly with the regression lines, which make the R2 = 0.99874 in training. For this reason, cutting force was explained by ANN with an acceptable accuracy in this study.

Anahtar Kelimeler

ANN, Cutting force, Cutting tool insert, Cryogenic heat treatment

Kaynakça

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Ayrıntılar

Birincil Dil en
Konular Bilgisayar Bilimleri, Bilgi Sistemleri
Bölüm Research Articles
Yazarlar

Yazar: Şehmus BADAY (Sorumlu Yazar)
Kurum: BATMAN ÜNİVERSİTESİ
Ülke: Turkey

Yazar: Onur ERSÖZ
Kurum: BATMAN UNIVERSITY
Ülke: Turkey
Destekleyen Kurum Batman University Scientific Research Projects Unit
Proje Numarası BTÜBAP-2019-YL-07
Teşekkür Many thanks to BTUBAP for financial support.
Tarihler

Başvuru Tarihi : 21 Ağustos 2020
Kabul Tarihi : 6 Eylül 2020
Yayımlanma Tarihi : 29 Aralık 2020

Kaynak Göster

Bibtex @araştırma makalesi { jscai783387, journal = {Journal of Soft Computing and Artificial Intelligence}, issn = {2717-8226}, address = {Tecde Mah. Gulay Sok. No 6:10/Malatya}, publisher = {Mahmut DİRİK}, year = {2020}, volume = {1}, pages = {63 - 72}, doi = {}, title = {Estimation of Cutting Forces Obtained by Machining AISI 1050 Steel with Cryo-Treated and Untreated Cutting Tool Insert by Using Artificial Neural Network}, key = {cite}, author = {Baday, Şehmus and Ersöz, Onur} }
APA Baday, Ş , Ersöz, O . (2020). Estimation of Cutting Forces Obtained by Machining AISI 1050 Steel with Cryo-Treated and Untreated Cutting Tool Insert by Using Artificial Neural Network . Journal of Soft Computing and Artificial Intelligence , 1 (2) , 63-72 . Retrieved from https://dergipark.org.tr/tr/pub/jscai/issue/56697/783387
MLA Baday, Ş , Ersöz, O . "Estimation of Cutting Forces Obtained by Machining AISI 1050 Steel with Cryo-Treated and Untreated Cutting Tool Insert by Using Artificial Neural Network" . Journal of Soft Computing and Artificial Intelligence 1 (2020 ): 63-72 <https://dergipark.org.tr/tr/pub/jscai/issue/56697/783387>
Chicago Baday, Ş , Ersöz, O . "Estimation of Cutting Forces Obtained by Machining AISI 1050 Steel with Cryo-Treated and Untreated Cutting Tool Insert by Using Artificial Neural Network". Journal of Soft Computing and Artificial Intelligence 1 (2020 ): 63-72
RIS TY - JOUR T1 - Estimation of Cutting Forces Obtained by Machining AISI 1050 Steel with Cryo-Treated and Untreated Cutting Tool Insert by Using Artificial Neural Network AU - Şehmus Baday , Onur Ersöz Y1 - 2020 PY - 2020 N1 - DO - T2 - Journal of Soft Computing and Artificial Intelligence JF - Journal JO - JOR SP - 63 EP - 72 VL - 1 IS - 2 SN - 2717-8226- M3 - UR - Y2 - 2020 ER -
EndNote %0 Journal of Soft Computing and Artificial Intelligence Estimation of Cutting Forces Obtained by Machining AISI 1050 Steel with Cryo-Treated and Untreated Cutting Tool Insert by Using Artificial Neural Network %A Şehmus Baday , Onur Ersöz %T Estimation of Cutting Forces Obtained by Machining AISI 1050 Steel with Cryo-Treated and Untreated Cutting Tool Insert by Using Artificial Neural Network %D 2020 %J Journal of Soft Computing and Artificial Intelligence %P 2717-8226- %V 1 %N 2 %R %U
ISNAD Baday, Şehmus , Ersöz, Onur . "Estimation of Cutting Forces Obtained by Machining AISI 1050 Steel with Cryo-Treated and Untreated Cutting Tool Insert by Using Artificial Neural Network". Journal of Soft Computing and Artificial Intelligence 1 / 2 (Aralık 2020): 63-72 .
AMA Baday Ş , Ersöz O . Estimation of Cutting Forces Obtained by Machining AISI 1050 Steel with Cryo-Treated and Untreated Cutting Tool Insert by Using Artificial Neural Network. JSCAI. 2020; 1(2): 63-72.
Vancouver Baday Ş , Ersöz O . Estimation of Cutting Forces Obtained by Machining AISI 1050 Steel with Cryo-Treated and Untreated Cutting Tool Insert by Using Artificial Neural Network. Journal of Soft Computing and Artificial Intelligence. 2020; 1(2): 63-72.
IEEE Ş. Baday ve O. Ersöz , "Estimation of Cutting Forces Obtained by Machining AISI 1050 Steel with Cryo-Treated and Untreated Cutting Tool Insert by Using Artificial Neural Network", Journal of Soft Computing and Artificial Intelligence, c. 1, sayı. 2, ss. 63-72, Ara. 2021
Makalenin Yazarları
Şehmus BADAY [1]
Onur ERSÖZ [2]
Makale Gönder
Arşiv
Editör Kurulu
İletişim

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