[HTML][HTML] A decision-making framework for dynamic scheduling of cyber-physical production systems based on digital twins

A Villalonga, E Negri, G Biscardo, F Castano… - Annual Reviews in …, 2021 - Elsevier
Nowadays, one important challenge in cyber-physical production systems is updating
dynamic production schedules through an automated decision-making performed while the …

Cloud-based industrial cyber–physical system for data-driven reasoning: A review and use case on an industry 4.0 pilot line

A Villalonga, G Beruvides, F Castano… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Nowadays, reconfiguration and adaptation by means of optimal re-parameterization in
Industrial Cyber-Physical Systems (ICPSs) is one of the bottlenecks for the digital …

[HTML][HTML] Exploring the intricacies of machine learning-based optimization of electric discharge machining on squeeze cast TiB2/AA6061 composites: Insights from …

R Kumar, AS Channi, R Kaur, S Sharma… - Journal of materials …, 2023 - Elsevier
Abstract Aluminium (Al) Alloy-6061/TiB 2 was developed with Squeeze casting while varying
composite quantities with titanium diboride (TiB 2). The metallographic structure of the …

[HTML][HTML] Sustainable machining of additive manufactured SS-316L underpinning low carbon manufacturing goal

MU Farooq, S Anwar, R Ullah, RH Guerra - journal of materials research …, 2023 - Elsevier
Among recent developments in manufacturing industries, the laser-powder bed fusion
process (L-PBF) is gaining attention for manufacturing complex and functional parts through …

[HTML][HTML] A two-step machine learning approach for dynamic model selection: a case study on a micro milling process

YJ Cruz, M Rivas, R Quiza, RE Haber, F Castaño… - Computers in …, 2022 - Elsevier
Generally, dynamic model selection is implemented using algorithms that need a feedback
from the system's output; but, in many real-world applications this feedback is not available …

[HTML][HTML] Ensemble of convolutional neural networks based on an evolutionary algorithm applied to an industrial welding process

YJ Cruz, M Rivas, R Quiza, A Villalonga, RE Haber… - Computers in …, 2021 - Elsevier
This paper presents an approach for image classification based on an ensemble of
convolutional neural networks and the application to a real case study of an industrial …

Predictive modelling framework on the basis of artificial neural network: A case of nano-powder mixed electric discharge machining

M Sana, MU Farooq, S Anwar, R Haber - Heliyon, 2023 - cell.com
In this modern era where Industry 4.0, plays a crucial role in enhancing productivity, quality,
and resource utilization by digitalizing and providing smart operation to industrial systems …

[HTML][HTML] Enhancing high-speed EDM performance of hybrid aluminium matrix composite by genetic algorithm integrated neural network optimization

MA Ali, NA Mufti, M Sana, M Tlija, MU Farooq… - Journal of Materials …, 2024 - Elsevier
Hybrid aluminium matrix composites (HAMCs) are highly valued in manufacturing sectors
but are difficult to machine conventionally due to reinforcements' inherent hardness and …

Digital twin-based optimization for ultraprecision motion systems with backlash and friction

RH Guerra, R Quiza, A Villalonga, J Arenas… - IEEE …, 2019 - ieeexplore.ieee.org
A digital twin-based optimization procedure is presented for an ultraprecision motion system
with a flexible shaft connecting the motor to the (elastic) load, which is subject to both …

[HTML][HTML] A novel flushing mechanism to minimize roughness and dimensional errors during wire electric discharge machining of complex profiles on Inconel 718

MU Farooq, S Anwar, MS Kumar, A AlFaify, MA Ali… - Materials, 2022 - mdpi.com
One of the sustainability goals in the aeronautical industry includes develo** cost-
effective, high-performance engine components possessing complex curved geometries …