Panorios Benardos
Cited by
Cited by
Predicting surface roughness in machining: a review
PG Benardos, GC Vosniakos
International Journal of Machine Tools and Manufacture 43 (8), 833-844, 2003
Prediction of surface roughness in CNC face milling using neural networks and Taguchi's design of experiments
PG Benardos, GC Vosniakos
Robotics and Computer-Integrated Manufacturing 18 (5), 343-354, 2002
Optimizing feedforward artificial neural network architecture
PG Benardos, GC Vosniakos
Engineering Applications of Artificial Intelligence 20 (3), 365-382, 2007
Prediction of workpiece elastic deflections under cutting forces in turning
PG Benardos, S Mosialos, GC Vosniakos
Robotics and Computer-Integrated Manufacturing 22 (5), 505-514, 2006
In-Process Tool Wear Prediction System Based on Machine Learning Techniques and Force Analysis
A Gouarir, G Martínez-Arellano, G Terrazas, P Benardos, S Ratchev
Procedia CIRP 77, 501-504, 2018
Simulation-based selection of optimum pressure die-casting process parameters using neural nets and genetic algorithms
A Krimpenis, PG Benardos, GC Vosniakos, A Koukouvitaki
The International Journal of Advanced Manufacturing Technology 27 (5), 509-517, 2006
Flexible robot sealant dispensing cell using RGB-D sensor and off-line programming
P Maiolino, R Woolley, D Branson, P Benardos, A Popov, S Ratchev
Robotics and Computer-Integrated Manufacturing 48, 188-195, 2017
Online Tool Wear Classification during Dry Machining Using Real Time Cutting Force Measurements and a CNN Approach
G Terrazas, G Martínez-Arellano, P Benardos, S Ratchev
Journal of Manufacturing and Materials Processing 2 (4), 72, 2018
Reconfigurable assembly system design methodology: a wing assembly case study
TG Jefferson, P Benardos, S Ratchev
SAE International Journal of Materials and Manufacturing 9 (1), 31-48, 2016
Internet of things and industrial applications for precision machining
P Benardos, GC Vosniakos
9th International Congress on Precision Machining, 2017
The scope of artificial neural network metamodels for precision casting process planning
GC Vosniakos, V Galiotou, D Pantelis, P Benardos, P Pavlou
Robotics and Computer-Integrated Manufacturing 25 (6), 909-916, 2009
A holistic approach to the exploitation of simulation in solid investment casting
N Pagratis, N Karagiannis, GC Vosniakos, D Pantelis, P Benardos
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2007
Neural network simulation metamodels and genetic algorithms in analysis and design of manufacturing cells
GC Vosniakos, A Tsifakis, P Benardos
The International Journal of Advanced Manufacturing Technology 29 (5), 541-550, 2006
Offline flexible optimisation of feed and speed in computer numerical control machining of sculptured surfaces exploiting dedicated cutting force metamodels
P Benardos, GC Vosniakos
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2014
Assessing worker performance using dynamic cost functions in human robot collaborative tasks
T Smith, P Benardos, D Branson
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2020
Multi-disciplinary design optimisation of mechanical parts with freeform surfaces: Case study encompassing manufacturing criteria
GC Vosniakos, P Benardos, V Lipari
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2015
Neural surface roughness models of CNC machined Glass Fibre Reinforced Composites
S Alexandrakis, P Benardos, GC Vosniakos, N Tsouvalis
International Journal of Materials and Product Technology 32 (2-3), 276-294, 2008
Intelligent Optimisation of 3-Axis Sculptured Surface Machining on Existing CAM Systems
GC Vosniakos, PG Benardos, A Krimpenis
Machining of Complex Sculptured Surfaces, 157-189, 2012
Rolling element bearings fault classification based on feature extraction from acceleration data and artificial neural networks
K Kotsanidis, P Benardos
IOP Conference Series: Materials Science and Engineering 1037 (1), 012008, 2021
Use of artificial neural networks to analyse tunnelling-induced ground movements obtained from geotechnical centrifuge testing
A Franza, PG Benardos, AM Marshall
Numerical Methods in Geotechnical Engineering IX, 685-689, 2018
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