Influencing factors and theoretical modeling methods of surface roughness in turning process: State-of-the-art
A systematic review of influencing factors and theoretical modeling methods of surface
roughness in turning process is presented in this work. The modeling methods of surface …
roughness in turning process is presented in this work. The modeling methods of surface …
Enabling technologies for operator 4.0: A survey
The fast development of smart sensors and wearable devices has provided the opportunity
to develop intelligent operator workspaces. The resultant Human-Cyber-Physical Systems …
to develop intelligent operator workspaces. The resultant Human-Cyber-Physical Systems …
[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 …
Prediction of surface roughness in turning using vibration features selected by largest Lyapunov exponent based ICEEMDAN decomposition
The prediction of surface roughness during turning using indirect methods helps improve the
quality of production. This study proposes an intelligent surface roughness prediction …
quality of production. This study proposes an intelligent surface roughness prediction …
Modelling of surface roughness in inclined milling operations with circle-segment end mills
G Urbikain, LNL de Lacalle - Simulation Modelling Practice and Theory, 2018 - Elsevier
There is currently a lack of knowledge in the manufacturing of high complexity aerospace
components. Impellers or blade-integrated disks (blisks) are expensive, and manufacturers …
components. Impellers or blade-integrated disks (blisks) are expensive, and manufacturers …
A neural network model to predict surface roughness during turning of hardened SS410 steel
XA Vasanth, PS Paul, AS Varadarajan - International Journal of System …, 2020 - Springer
In manufacture sector, the surface finish quality has considerable importance that can affect
the functioning of a component, and possibly its cost. The surface quality is an significant …
the functioning of a component, and possibly its cost. The surface quality is an significant …
Modelling and optimization of surface roughness during AISI P20 milling process using Taguchi method
Surface roughness Ra is a parameter normally used to indicate the level of surface
irregularities during machining operations. This work aims to model the cutting process …
irregularities during machining operations. This work aims to model the cutting process …
Graph neural network and multi-agent reinforcement learning for machine-process-system integrated control to optimize production yield
In this paper, an integrated control framework is proposed for the optimization of the
production yield by integrating different levels of a manufacturing system, including system …
production yield by integrating different levels of a manufacturing system, including system …
Typical signal anomaly monitoring and support vector regression-based surface roughness prediction with acoustic emission signals in single-point diamond turning
KE Tang, CY Weng, YC Cheng, CW Liu - Journal of Manufacturing …, 2024 - Elsevier
Single-point diamond turning (SPDT) is a widely used process in the production of high-
quality, high-precision optoelectronic components. Surface roughness is a key indicator of …
quality, high-precision optoelectronic components. Surface roughness is a key indicator of …
Surface roughness prediction with new barrel-shape mills considering runout: Modelling and validation
Complex aeronautic components such as impellers and blade disks require barrel-end mills
having complex geometries to reproduce freeform surfaces. On these parts, the specified …
having complex geometries to reproduce freeform surfaces. On these parts, the specified …