Detail publikace
Investigation of the Applicability of Acoustic Emission Signals for Adaptive Control in CNC Wood Milling
DADO, M. KOLEDA, P. VLAŠIC, F. SALVA, J.
Originální název
Investigation of the Applicability of Acoustic Emission Signals for Adaptive Control in CNC Wood Milling
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
The integration of acoustic emission (AE) signals into adaptive control systems for CNC wood milling represents a promising advancement in intelligent manufacturing. This study investigated the feasibility of using AE signals for the real-time monitoring and control of CNC milling processes, focusing on medium-density fiberboard (MDF) as the workpiece material. AE signals were captured using dual-channel sensors during side milling on a five-axis CNC machine, and their characteristics were analyzed across varying spindle speeds and feed rates. The results showed that AE signals were sensitive to changes in machining parameters, with higher spindle speeds and feed rates producing increased signal amplitudes and distinct frequency peaks, indicating enhanced cutting efficiency. The statistical analysis confirmed a significant relationship between AE signal magnitude and cutting conditions. However, limitations related to material variability, sensor configuration, and the narrow range of process parameters restrict the broader applicability of the findings. Despite these constraints, the results support the use of AE signals for adaptive control in wood milling, offering potential benefits such as improved machining efficiency, extended tool life, and predictive maintenance capabilities. Future research should address signal variability, tool wear, and sensor integration to enhance the reliability of AE-based control systems in industrial applications.
Klíčová slova
acoustic emission; adaptive control; CNC; milling; wood
Autoři
DADO, M.; KOLEDA, P.; VLAŠIC, F.; SALVA, J.
Vydáno
13. 6. 2025
Nakladatel
MDPI (Multidisciplinary Digital Publishing Institute)
Místo
Basel, Switzerland
ISSN
2076-3417
Periodikum
Applied Sciences - Basel
Ročník
15
Číslo
12
Stát
Švýcarská konfederace
Strany od
1
Strany do
18
Strany počet
18
URL
BibTex
@article{BUT198162,
author="Miroslav {Dado} and Peter {Koleda} and František {Vlašic} and Jozef {Salva}",
title="Investigation of the Applicability of Acoustic Emission Signals for Adaptive Control in CNC Wood Milling",
journal="Applied Sciences - Basel",
year="2025",
volume="15",
number="12",
pages="18",
doi="10.3390/app15126659",
issn="2076-3417",
url="https://www.mdpi.com/2076-3417/15/12/6659"
}