Nanotechnology and nanostructured materials: trends in carbon nanotubes AG Mamalis, LOG Vogtländer, A Markopoulos Precision Engineering 28 (1), 16-30, 2004 | 301 | 2004 |
Artificial neural network models for the prediction of surface roughness in electrical discharge machining AP Markopoulos, DE Manolakos, NM Vaxevanidis Journal of intelligent Manufacturing 19 (3), 283-292, 2008 | 185 | 2008 |
Gamification in engineering education and professional training AP Markopoulos, A Fragkou, PD Kasidiaris, JP Davim International Journal of Mechanical Engineering Education 43 (2), 118-131, 2015 | 121 | 2015 |
Surface roughness prediction for the milling of Ti–6Al–4V ELI alloy with the use of statistical and soft computing techniques NE Karkalos, NI Galanis, AP Markopoulos Measurement 90, 25-35, 2016 | 120 | 2016 |
Finite element method in machining processes AP Markopoulos Springer Science & Business Media, 2012 | 120 | 2012 |
Thermal modelling of surface grinding using implicit finite element techniques AG Mamalis, DE Manolakos, A Markopoulos, J Kunádrk, K Gyáni The International Journal of Advanced Manufacturing Technology 21 (12), 929-934, 2003 | 87 | 2003 |
On the use of back propagation and radial basis function neural networks in surface roughness prediction AP Markopoulos, S Georgiopoulos, DE Manolakos Journal of Industrial Engineering International 12 (3), 389-400, 2016 | 79 | 2016 |
On the finite element modelling of high speed hard turning AG Mamalis, J Kundrák, A Markopoulos, DE Manolakos The International Journal of Advanced Manufacturing Technology 38 (5), 441-446, 2008 | 67 | 2008 |
Environmentally friendly precision machining J Kundrák, AG Mamalis, K Gyáni, A Markopoulos Materials and manufacturing processes 21 (1), 29-37, 2006 | 62 | 2006 |
Finishing of hardened boreholes: Grinding or hard cutting? J Kundrák, AG Mamalis, A Markopoulos Materials and Manufacturing Processes 19 (6), 979-993, 2004 | 62 | 2004 |
A review on the readiness level and cyber-security challenges in Industry 4.0 N Benias, AP Markopoulos 2017 South Eastern European Design Automation, Computer Engineering …, 2017 | 54 | 2017 |
Effect of the workpiece material on the heat affected zones during grinding: a numerical simulation AG Mamalis, J Kundrak, DE Manolakos, K Gyani, A Markopoulos, ... The International Journal of Advanced Manufacturing Technology 22 (11), 761-767, 2003 | 54 | 2003 |
Modelling and optimization of machining with the use of statistical methods and soft computing AP Markopoulos, W Habrat, NI Galanis, NE Karkalos Design of experiments in production engineering, 39-88, 2016 | 40 | 2016 |
Influence of ball-burnishing process on surface topography parameters and tribological properties of hardened steel A Dzierwa, AP Markopoulos Machines 7 (1), 11, 2019 | 33 | 2019 |
Determination of Johnson-Cook material model parameters by an optimization approach using the fireworks algorithm NE Karkalos, AP Markopoulos Procedia Manufacturing 22, 107-113, 2018 | 33 | 2018 |
Prediction of thrust force and cutting torque in drilling based on the response surface methodology P Kyratsis, AP Markopoulos, N Efkolidis, V Maliagkas, K Kakoulis Machines 6 (2), 24, 2018 | 28 | 2018 |
Analysis of the effect of feed on chip size ratio and cutting forces in face milling for various cutting speeds J Kundrák, AP Markopoulos, T Makkai, I Deszpoth, A Nagy Manufacturing Technology 18 (3), 431-438, 2018 | 26 | 2018 |
Experimental study on the influence of machining conditions on the quality of electrical discharge machined surfaces of aluminum alloy Al5052 AP Markopoulos, EL Papazoglou, P Karmiris-Obratański Machines 8 (1), 12, 2020 | 22 | 2020 |
A review on the machining of nickel-titanium shape memory alloys AP Markopoulos, IS Pressas, DE Manolakos Rev. Adv. Mater. Sci 42, 28-35, 2015 | 22 | 2015 |
Cutting mechanics and analytical modeling AP Markopoulos Finite element method in machining processes, 11-27, 2013 | 22 | 2013 |