Neural control strategy of constant cutting force system in end milling
U Zuperl, F Cus, M Reibenschuh - Robotics and Computer-Integrated …, 2011 - Elsevier
This paper discusses the application of neural adaptive control strategy to the problem of
cutting force control in high speed end milling operations. The research is concerned with …
cutting force control in high speed end milling operations. The research is concerned with …
A review of manufacturing process control
Smart manufacturing concepts are being integrated into all areas of manufacturing
industries, from the device level (eg, intelligent sensors) to the efficient coordination of …
industries, from the device level (eg, intelligent sensors) to the efficient coordination of …
Machining Digital Twin using real-time model-based simulations and lookahead function for closed loop machining control
R Ward, C Sun, J Dominguez-Caballero, S Ojo… - … International Journal of …, 2021 - Springer
The future of machining lies in the fully autonomous machine tool. New technologies must
be developed that predict, sense and action intelligent decisions autonomously. Digital twins …
be developed that predict, sense and action intelligent decisions autonomously. Digital twins …
Elman fuzzy adaptive control for obstacle avoidance of mobile robots using hybrid force/position incorporation
This paper addresses a virtual force field between mobile robots and obstacles to keep them
away with a desired distance. An online learning method of hybrid force/position control is …
away with a desired distance. An online learning method of hybrid force/position control is …
State of the art review on process, system, and operations control in modern manufacturing
Dramatic advancements and adoption of computing capabilities, communication
technologies, and advanced, pervasive sensing have impacted every aspect of modern …
technologies, and advanced, pervasive sensing have impacted every aspect of modern …
Modeling and adaptive force control of milling by using artificial techniques
U Zuperl, F Cus, M Reibenschuh - Journal of Intelligent Manufacturing, 2012 - Springer
The contribution discusses the use of combining the methods of neural networks, fuzzy logic
and PSO evolutionary strategy in modeling and adaptively controlling the process of ball …
and PSO evolutionary strategy in modeling and adaptively controlling the process of ball …
Tool deflection control by a sensory spindle slide for milling machine tools
B Denkena, D Dahlmann, H Boujnah - Procedia CIRP, 2017 - Elsevier
A conventional spindle slide of a milling center is enhanced to a force “feeling” component
for process monitoring and control tasks. The feeling ability is realized by integrating strain …
for process monitoring and control tasks. The feeling ability is realized by integrating strain …
System identification of the high performance drilling process for network-based control
RM del Toro, MC Schmittdiel… - International …, 2007 - asmedigitalcollection.asme.org
A simple, fast, network-based experimental procedure for identifying the dynamics of the
high-performance drilling (HPD) process is proposed and successfully applied. This …
high-performance drilling (HPD) process is proposed and successfully applied. This …