Digitalisation and servitisation of machine tools in the era of Industry 4.0: a review
Machine tools play a pivotal role in the manufacturing world since their performance
significantly affects the product quality and production efficiency. In the era of Industry 4.0 …
significantly affects the product quality and production efficiency. In the era of Industry 4.0 …
Enhancing energy efficiency with ai: a review of machine learning models in electricity demand forecasting
AO Aderibigbe, EC Ani, PE Ohenhen… - Engineering Science & …, 2023 - fepbl.com
This study presents a comprehensive review of the impact of artificial intelligence (AI) and
machine learning (ML) on enhancing energy efficiency, particularly in the context of …
machine learning (ML) on enhancing energy efficiency, particularly in the context of …
A reinforcement learning-driven brain storm optimisation algorithm for multi-objective energy-efficient distributed assembly no-wait flow shop scheduling problem
F Zhao, X Hu, L Wang, T Xu, N Zhu… - International Journal of …, 2023 - Taylor & Francis
A reinforcement learning-driven brain storm optimisation idea (RLBSO) is proposed in this
paper to solve multi-objective energy-efficient distributed assembly no-wait flow shop …
paper to solve multi-objective energy-efficient distributed assembly no-wait flow shop …
Energy consumption prediction of a CNC machining process with incomplete data
Energy consumption prediction of a CNC machining process is important for energy
efficiency optimization strategies. To improve the generalization abilities, more and more …
efficiency optimization strategies. To improve the generalization abilities, more and more …
[HTML][HTML] Leveraging AI for energy-efficient manufacturing systems: Review and future prospectives
Energy poses a significant challenge in the industrial sector, and the abundance of data
generated by Industry 4.0 technologies offers the opportunity to leverage Artificial …
generated by Industry 4.0 technologies offers the opportunity to leverage Artificial …
Data-driven cutting parameters optimization method in multiple configurations machining process for energy consumption and production time saving
X Zhao, C Li, X Chen, J Cui, B Cao - International Journal of Precision …, 2022 - Springer
Cutting parameters and machining configurations affect the energy consumption and
production time in the machining process significantly. Previous cutting parameters …
production time in the machining process significantly. Previous cutting parameters …
Adaptive optimal process control with actor-critic design for energy-efficient batch machining subject to time-varying tool wear
Batch machining systems are essential for improving productivity and quality, but they
consume considerable amounts of energy due to the continuous interaction with machine …
consume considerable amounts of energy due to the continuous interaction with machine …
Multi-objective parameter optimization of fiber laser welding considering energy consumption and bead geometry
Exploiting energy-saving potentials while obtaining ideal processing results is highly sought
for in fiber laser welding (FLW) applications. However, little is known about the correlation …
for in fiber laser welding (FLW) applications. However, little is known about the correlation …
A multi-timescale smart grid energy management system based on adaptive dynamic programming and Multi-NN Fusion prediction method
The complexity of power grids, the intermittent renewable energy generation and the
uncertainty of load consumption bring great challenges to modern energy management …
uncertainty of load consumption bring great challenges to modern energy management …
Multiobjective optimization of roll-forming procedure using NSGA-II and type-2 fuzzy neural network
In this research, the effective indexes in the cold roll-forming procedure that can affect the
energy utilization and required maximum torque of the forming line have been investigated …
energy utilization and required maximum torque of the forming line have been investigated …