Angelos P. Markopoulos

Orcid: 0000-0002-3754-5202

Affiliations:
  • National Technical University of Athens, Greece


According to our database1, Angelos P. Markopoulos authored at least 14 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
The influence of Volumetric Energy Density on the mechanical behavior of PA12 parts produced by Powder Bed Fusion: An experimental and numerical study.
Simul. Model. Pract. Theory, January, 2024

Editorial on simulation and modeling using digital twins in mechanical design and in advanced manufacturing technology.
Simul. Model. Pract. Theory, 2024

2023
On the use of the Perlin noise function to calculate the laser absorption coefficient by rough surfaces.
Simul. Model. Pract. Theory, April, 2023

Study and Development of a High-Speed Fused Filament Fabrication 3D Printer.
Proceedings of the 8th South-East Europe Design Automation, 2023

2019
Optimizing Models for Sustainable Drilling Operations Using Genetic Algorithm for the Optimum ANN.
Appl. Artif. Intell., 2019

2018
Hacking the human: Exploiting primordial instincts.
Proceedings of the 2018 South-Eastern European Design Automation, 2018

2017
Thermotechnical modelling of hard turning: A computational fluid dynamics approach.
Simul. Model. Pract. Theory, 2017

Optimal Model Parameters of Inverse Kinematics Solution of a 3R Robotic Manipulator Using ANN Models.
Int. J. Manuf. Mater. Mech. Eng., 2017

2016
Cutting Speed in Nano-Cutting as MD Modelling Parameter.
Int. J. Manuf. Mater. Mech. Eng., 2016

Gamifying e-learning as a Means of Overcoming Its Deficiencies.
Proceedings of the SouthEast European Design Automation, 2016

Loan Evaluation Applying Artificial Neural Networks.
Proceedings of the SouthEast European Design Automation, 2016

2011
3D Finite Element Modeling of High Speed Machining.
Int. J. Manuf. Mater. Mech. Eng., 2011

2008
Artificial neural network models for the prediction of surface roughness in electrical discharge machining.
J. Intell. Manuf., 2008

2007
Prediction of the collapse modes of PVC cylindrical shells under compressive axial loads using Artificial Neural Networks.
Proceedings of the Artificial Intelligence and Innovations 2007: from Theory to Applications, 2007


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