Reinforcement learning for autonomous process control in industry 4.0: Advantages and challenges
N Nievas, A Pagès-Bernaus, F Bonada… - Applied Artificial …, 2024 - Taylor & Francis
In recent years, the integration of intelligent industrial process monitoring, quality prediction,
and predictive maintenance solutions has garnered significant attention, driven by rapid …
and predictive maintenance solutions has garnered significant attention, driven by rapid …
[HTML][HTML] A Review on Recent Advances in the Energy Efficiency of Machining Processes for Sustainability
The pursuit of energy efficiency in machining processes is a critical aspect of sustainable
manufacturing. A significant portion of global energy consumption is by the industrial sector; …
manufacturing. A significant portion of global energy consumption is by the industrial sector; …
Overcoming challenges: advancements in cutting techniques for high strength-toughness alloys in aero-engines
Aero-engines, the core of air travel, rely on advanced high strength-toughness alloys
(THSAs) such as titanium alloys, nickel-based superalloys, intermetallics, and ultra-high …
(THSAs) such as titanium alloys, nickel-based superalloys, intermetallics, and ultra-high …
A digital twin defined autonomous milling process towards the online optimal control of milling deformation for thin-walled parts
C Zhang, G Zhou, Q Xu, Z Wei, C Han… - The International Journal of …, 2023 - Springer
Thin-walled parts are widely used in the aerospace industry, where the milling deformation
of the parts caused by their thin-walled dra** and extremely large size ratio characteristics …
of the parts caused by their thin-walled dra** and extremely large size ratio characteristics …
Integrated carbon footprint with cutting parameters for production scheduling
B He, R Liu, T Li - Journal of Cleaner Production, 2023 - Elsevier
A large part of the global carbon footprint comes from manufacturing. Apart from material
distribution during product assembly, rational optimization of cutting parameters and …
distribution during product assembly, rational optimization of cutting parameters and …
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 …
[HTML][HTML] Machining parameter optimization for a batch milling system using multi-task deep reinforcement learning
The integrated multi-objective optimization of machining parameters for improved machining
quality and efficiency is important in batch milling systems. Due to the change of the batch …
quality and efficiency is important in batch milling systems. Due to the change of the batch …
[HTML][HTML] Integrated optimisation of multi-pass cutting parameters and tool path with hierarchical reinforcement learning towards green manufacturing
Five-axis machining, especially flank milling, is popular in machining thin-walled freeform
surface parts with high energy consumption. Reducing the machining energy consumption …
surface parts with high energy consumption. Reducing the machining energy consumption …
Machining feature process route planning based on a graph convolutional neural network
Z Wang, S Zhang, H Zhang, Y Zhang, J Liang… - Advanced Engineering …, 2024 - Elsevier
The machining processes of machining features, as the crucial components of the
machining process for the overall part, significantly impact machining quality and production …
machining process for the overall part, significantly impact machining quality and production …
Towards energy efficient milling of variable curved geometries
Abstract Development of energy efficient machining is the present focus to industries for
reduction of energy consumption and making the manufacturing system more sustainable …
reduction of energy consumption and making the manufacturing system more sustainable …