|
|
|
|
|
Alessandra Caggiano, Giulio Mattera and Luigi Nele
The drilling of carbon fiber-reinforced plastic (CFRP) materials is a key process in the aerospace industry, where ensuring high product quality is a critical issue. Low-quality of final products may be caused by the occurrence of drilling-induced defect...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ci-Rong Huang and Ming-Chyuan Lu
In the development of a tool wear monitoring system in milling, the complex cutting path always brings challenges to the system?s reliability in the production line. The cutting path effect on the acoustic emission (AE) and vibration signals during the m...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mateusz Dziubek, Jacek Rysinski and Daniel Jancarczyk
Automated monitoring of cutting tool wear is of paramount importance in the manufacturing industry, as it directly impacts production efficiency and product quality. Traditional manual inspection methods are time-consuming and prone to human error, neces...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhimeng Li, Wen Zhong, Weiwen Liao, Yiqun Cai, Jian Zhao and Guofeng Wang
Real-time tool condition monitoring (TCM) is becoming more and more important to meet the increased requirement of reducing downtime and ensuring the machining quality of manufacturing systems. However, it is difficult to satisfy both robustness and effe...
ver más
|
|
|
|
|
|
|
|
|
|
|
Cheng-Jian Lin, Chun-Hui Lin and Frank Lin
The spindle of a machine tool plays a key role in machining because the wear of a spindle might result in inaccurate production and decreased productivity. To understand the condition of a machine tool, a vector-based convolutional fuzzy neural network (...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wei Dai, Kui Liang and Bin Wang
In the aerospace manufacturing field, tool conditions are essential to ensure the production quality for aerospace parts and reduce processing failures. Therefore, it is extremely necessary to develop a suitable tool condition monitoring method. Thus, we...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaodong Zhang, Ce Han, Ming Luo and Dinghua Zhang
Tool wear monitoring is necessary for cost reduction and productivity improvement in the machining industry. Machine learning has been proven to be an effective means of tool wear monitoring. Feature engineering is the core of the machining learning mode...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sergii Filonenko,Anzhelika Stakhova
Pág. 6 - 11
In the present study, experimental research was carried out to determine the effect of the processing tool wear on the mutual change in the average statistical amplitude parameters of acoustic emission signals. Acoustic emission signals were recorded whe...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tim Martin, Lith Choummanivong
Pág. 2477 - 2486
Long-term pavement performance (LTPP) monitoring has been conducted in Australia for over 20 years. This research was funded by Austroads (representing federal, state and territory road agencies, local government and the New Zealand road agency) to promo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aydin Salimi, Mohammad Zadshakoyan, Ahmet Özdemir, Esmaeil Seidi
Pág. 669 - 676
In automation flexible manufacturing systems, tool wear detection during the cutting process is one of the most important considerations. This study presents an intelligent system for online tool condition monitoring in drilling process. In this paper, a...
ver más
|
|
|
|
|
|