Talaş Kaldırma İşlemlerinde Takım Durumunun İzlemesi İçin Son Gelişmelerin İncelenmesi

Autor: Aydin SALİMİASL, Mohammad RAFİGHİ

Publikováno v: Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Vol 5, Iss 1, Pp 314-337 (2017)

Bu çalışmada, takım durumunun izlemesi için son yıllarda yapılan çalışmalar incelenmiş ve talaş kaldırma işlemlerinin izlenmesinde etki sağlayan parametreler tartışılmıştır. Son yıllardaki çalışmalar göz önüne alınarak, t

Externí odkaz: https://doaj.org/article/022c336c813c4999a90545c0666f0ae9

Investigation of Recent Developments in Tool Condition Monitoring during Machining Operations

Autor: Aydin SALİMİASL, Mohammad RAFİGHİ

Publikováno v: Volume: 5, Issue: 1 314-337
Düzce Üniversitesi Bilim ve Teknoloji Dergisi
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Vol 5, Iss 1, Pp 314-337 (2017)

Recent studies for tool conditionmonitoring were evaluated and the effective parameters on monitoring ofmachining operations were discussed in this study. The effective variables ontool condition monitoring, signal processing methods, feature selecti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6bcadb6d795781e3746735a31eaae3db
https://dergipark.org.tr/tr/pub/dubited/issue/27453/295605

Using of Least Square (LS) and Fuzzy Logic methods to estimate the cutting forces for a new tool in machining of SAE4140

Autor: Esmaeil Seidi, Maghsoud Shalvandi, Aydin Salimiasl

Publikováno v: International Journal of Manufacturing Research. 14:1

In this paper, analytical-empirical and fuzzy logic-based models were created to predict the cutting forces in turning process for a new tool. A dynamometer that measure static cutting forces was used for measuring the forces. AISI 4140 steel was use

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7aaa5691a80e9d9ae7383328d06270f7
https://doi.org/10.1504/ijmr.2019.10019976

Analyzing the performance of artificial neural network (ANN)-, fuzzy logic (FL)-, and least square (LS)-based models for online tool condition monitoring

Autor: Aydin Salimiasl, Ahmet Özdemir

There are various methods to model the cutting processes and tool life in machining operations. However, there is not any unchallengeable agreement on a certain method among the researchers yet. To enhance the performance of the monitoring and predic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68b70b96ba4076e98f608fe6bd826f1f
https://avesis.gazi.edu.tr/publication/details/3788355c-02fa-445a-9c6a-9de14a5feca6/oai