Vibration prediction in drilling processes with HSS and carbide drill bit by means of artificial neural networks

2018 ◽  
Vol 31 (9) ◽  
pp. 5547-5562 ◽  
Author(s):  
Hasan Basri Ulas ◽  
Murat Tolga Ozkan ◽  
Yusuf Malkoc
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Drill Bit ◽  
Vibration Prediction ◽  
Artificial Neural

Drill Bit Selection Optimization Based on Rate of Penetration: Application of Artificial Neural Networks and Genetic Algorithms

2019 ◽  
Author(s):  
Ahmed K. Abbas ◽  
Amel H. Assi ◽  
Hayder Abbas ◽  
Haidar Almubarak ◽  
Mortadha Al Saba
Keyword(s):  
Neural Networks ◽  
Genetic Algorithms ◽  
Artificial Neural Networks ◽  
Drill Bit ◽  
Rate Of Penetration ◽  
Artificial Neural

scholarly journals Effect of technological parameters on vibration acceleration in milling and vibration prediction with artificial neural networks

2019 ◽  
Vol 252 ◽  
pp. 03015 ◽  
Author(s):  
Ireneusz Zagórski ◽  
Monika Kulisz
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Milling Process ◽  
Technological Parameters ◽  
Vibration Acceleration ◽  
Az91d Magnesium Alloy ◽  
Vibration Prediction ◽  
Artificial Neural ◽  
Network Software

This paper reports on the study of vibration acceleration in milling and vibration prediction by means of artificial neural networks. The milling process, carried out on AZ91D magnesium alloy with a PCD milling cutter, was monitored to observe the extent to which the change of selected technological parameters (vc, fz, ap) affects vibration acceleration ax, ay and az. The experimental data have shown a significant impact of technological parameters on maximum and RMS vibration acceleration. The simulation works employed the artificial neural networks modelled with Statistica Neural Network software. Two types of neural networks were employed: MLP (Multi-Layered Perceptron) and RBF (Radial Basis Function).

Determination of S-N curves with the application of artificial neural networks

1999 ◽  
Vol 22 (8) ◽  
pp. 723-728 ◽  
Author(s):  
Artymiak ◽  
Bukowski ◽  
Feliks ◽  
Narberhaus ◽  
Zenner
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Artificial Neural

FUTURE OF ARTIFICIAL NEURAL NETWORKS IN SPACE EXPLORATION AND SPACE ENGINEERING

2018 ◽  
pp. 6-11
Author(s):  
Kobiljon Kh. Zoidov ◽  
◽  
Svetlana V. Ponomareva ◽  
Daniel I. Serebryansky ◽  
◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Space Exploration ◽  
Artificial Neural

Bankruptcy Prediction Models: A Bet on Artificial Neural Networks

2012 ◽  
Vol 3 (2) ◽  
pp. 48-50
Author(s):  
Ana Isabel Velasco Fernández ◽  
◽  
Ricardo José Rejas Muslera ◽  
Juan Padilla Fernández-Vega ◽  
María Isabel Cepeda González
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Prediction Models ◽  
Bankruptcy Prediction ◽  
Artificial Neural
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