Milling diagnosis using artificial intelligence approaches
Mechanics & Industry, 20 8 (2019) 809
Published online: 2020-07-21
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
Nomex Balpeteği Çekirdekli Kompozit Malzemelerin Delinmesinde Oluşan Kesme Kuvvetleri ve Delaminasyonun İncelenmesi
Ahmet UYUMAZ, Fatih ERGENÇİÇEĞİ and Gültekin BASMACIKaradeniz Fen Bilimleri Dergisi 14 (1) 50 (2024)
https://doi.org/10.31466/kfbd.1341146
Tool Wear Prediction Model Using Multi-Channel 1D Convolutional Neural Network and Temporal Convolutional Network
Min Huang, Xingang Xie, Weiwei Sun and Yiming LiLubricants 12 (2) 36 (2024)
https://doi.org/10.3390/lubricants12020036
1 (2023)
https://doi.org/10.1109/GlobConET56651.2023.10150033
Integrated Intelligent Method Based on Fuzzy Logic for Optimizing Laser Microfabrication Processing of GnPs-Improved Alumina Nanocomposites
Khaled N. Alqahtani, Mustafa M. Nasr, Saqib Anwar, et al.Micromachines 14 (4) 750 (2023)
https://doi.org/10.3390/mi14040750
Machine learning model for discrete, nonlinear datasets from machining operation: an industrial need to have high quality
Sangeetha Elango, Ezra Morris Abraham Gnanamuthu, R. Durairaj and Karthikeyan MohanrajMultiscale and Multidisciplinary Modeling, Experiments and Design 5 (3) 279 (2022)
https://doi.org/10.1007/s41939-022-00118-9
Surface roughness prediction applying artificial neural network at micro machining
U L Adizue, B Z Balazs and M TakacsIOP Conference Series: Materials Science and Engineering 1246 (1) 012034 (2022)
https://doi.org/10.1088/1757-899X/1246/1/012034
A machine learning-based workflow for automatic detection of anomalies in machine tools
Marwin Züfle, Felix Moog, Veronika Lesch, Christian Krupitzer and Samuel KounevISA Transactions 125 445 (2022)
https://doi.org/10.1016/j.isatra.2021.07.010
Low-Cost and High-Efficiency Electromechanical Integration for Smart Factories of IoT with CNN and FOPID Controller Design under the Impact of COVID-19
Chang-Hung Hsu, Shan-Jen Cheng, Te-Jen Chang, Yi-Mei Huang, Chin-Ping Fung and Shih-Feng ChenApplied Sciences 12 (7) 3231 (2022)
https://doi.org/10.3390/app12073231
Recent advances in modelling and simulation of surface integrity in machining – a review
Amir Malakizadi, Rachele Bertolini, Francois Ducobu, et al.Procedia CIRP 115 232 (2022)
https://doi.org/10.1016/j.procir.2022.10.079
Recent Advances on Machine Learning Applications in Machining Processes
Francesco Aggogeri, Nicola Pellegrini and Franco Luis TaglianiApplied Sciences 11 (18) 8764 (2021)
https://doi.org/10.3390/app11188764
Milling of Graphene Reinforced Ti6Al4V Nanocomposites: An Artificial Intelligence Based Industry 4.0 Approach
Mustafa M. Nasr, Saqib Anwar, Ali M. Al-Samhan, Mageed Ghaleb and Abdulmajeed DabwanMaterials 13 (24) 5707 (2020)
https://doi.org/10.3390/ma13245707