[HTML][HTML] AI-Based Prediction of Ultrasonic Vibration-Assisted Milling Performance

MS El-Asfoury, M Baraya, E El Shrief, K Abdelgawad… - Sensors, 2024 - mdpi.com
The current study aims to evaluate the performance of the ultrasonic vibration-assisted
milling (USVAM) process when machining two different materials with high deviations in …

[HTML][HTML] Dimensional Accuracy After Precision Milling of Magnesium Alloys Using Coated and Uncoated Cutting Tools

J Korpysa, W Habrat - Materials, 2024 - mdpi.com
Magnesium alloys are an important group of materials that are used in many industries,
primarily due to their low weight. Constantly increasing quality requirements make it …

[HTML][HTML] Optimization of Tool Wear and Cutting Parameters in SCCO2-MQL Ultrasonic Vibration Milling of SiCp/Al Composites

H Zhang, B Wang, L Qu, X Wang - Machines, 2024 - mdpi.com
Silicon carbide particle-reinforced aluminum matrix (SiCp/Al) composites are significant
lightweight metal matrix composites extensively utilized in precision instruments and …

Experimental investigation and parametric optimization of rotary ultrasonic machining of different bio-ceramic materials

M Vishnoi, TG Mamatha, M Singh, A Kushwaha… - Physica …, 2024 - iopscience.iop.org
Rotary ultrasonic machining (RUM) is a highly promising technique for machining bio-
ceramic materials due to its ability to achieve high precision and superior surface quality …

Machine tool operating vibration prediction based on multi‐sensor fusion and LSTM neural network

Z Shi, J Duan, F Li - Electronics Letters, 2024 - Wiley Online Library
This study proposes a machine tool vibration prediction method based on multi‐sensor
fusion and a long short‐term memory (LSTM) network. Machine tool vibration significantly …