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[HTML][HTML] A decision-making framework for dynamic scheduling of cyber-physical production systems based on digital twins
Nowadays, one important challenge in cyber-physical production systems is updating
dynamic production schedules through an automated decision-making performed while the …
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
Nowadays, reconfiguration and adaptation by means of optimal re-parameterization in
Industrial Cyber-Physical Systems (ICPSs) is one of the bottlenecks for the digital …
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 …
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 …
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
Among recent developments in manufacturing industries, the laser-powder bed fusion
process (L-PBF) is gaining attention for manufacturing complex and functional parts through …
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
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 …
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
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 …
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
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 …
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
Hybrid aluminium matrix composites (HAMCs) are highly valued in manufacturing sectors
but are difficult to machine conventionally due to reinforcements' inherent hardness and …
but are difficult to machine conventionally due to reinforcements' inherent hardness and …
Digital twin-based optimization for ultraprecision motion systems with backlash and friction
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 …
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
One of the sustainability goals in the aeronautical industry includes develo** cost-
effective, high-performance engine components possessing complex curved geometries …
effective, high-performance engine components possessing complex curved geometries …