Angelos P. Markopoulos

TL;DR: Carbon nanotubes have attracted the attention of many researchers since their discovery last decade as discussed by the authors, and they are not only very good conductors, but they also appear to be the yet found material with the biggest specific stiffness, having half the density of aluminium.

TL;DR: The reported results indicate that the proposed ANNs models can satisfactorily predict the surface roughness in EDM and can be considered as valuable tools for the process planning for EDMachining.

TL;DR: In this paper, a set of experiments were performed on a CNC milling centre and design of experiments based on Box Behnken Design (BBD) for a three factor and three level central composite design concept was conducted.

TL;DR: The role of the academia is to develop new methodologies and tools to produce, apply and use digital games and gamification techniques in contemporary industry and present scientific evidence on the value and the benefits derived from this technology as discussed by the authors.

TL;DR: Various artificial neural networks types are examined and compared for the prediction of surface roughness in manufacturing technology and the finally selected neural networks can satisfactorily predict the quality of the manufacturing process performed, through simulation and input–output surfaces for combinations of the input data, which correspond to milling cutting conditions.