Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Wyszukujesz frazę "process monitoring and control" wg kryterium: Wszystkie pola


Wyświetlanie 1-3 z 3
Tytuł:
En route to intelligent wood machining – current situation and future perspectives
Autorzy:
Möhring, H.-Christian
Eschelbacher, Sarah
Güzel, Kamil
Kimmelmann, Martin
Schneider, Matthias
Zizelmann, Christoph
Häusler, Andreas
Menze, Christian
Powiązania:
https://bibliotekanauki.pl/articles/99542.pdf
Data publikacji:
2019
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
wood machining
process optimisation
monitoring and control
Opis:
Wood materials are an important part of our daily life. Besides furniture, doors and window elements, parquet floors, veneering, ply wood, chip- and fibreboards, also structural elements for buildings are typical products. Due to the specific properties, variety and complexity of natural wood, wood materials and wood composites, the machining of parts made out of these materials exhibits specific challenges. In order to further improve productivity, quality and efficiency in wood machining, innovative solutions with respect to tool technology, process planning, machinery, process monitoring and intelligent control are necessary. This keynote paper reviews and summarizes scientific developments in wood machining in recent years. Furthermore, exemplary current an ongoing research activities are introduced. Finally, the paper presents and discusses future potentials regarding new approaches for intelligent process control in wood machining.
Źródło:
Journal of Machine Engineering; 2019, 19, 4; 5-26
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Intelligent cyber-physical monitoring and control of I4.0 machining systems – an overview and future perspectives
Autorzy:
Hassan, Mahmoud
Sadek, Ahmad
Attia, M. Helmi
Powiązania:
https://bibliotekanauki.pl/articles/2052195.pdf
Data publikacji:
2022
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
machining process
artificial intelligence
modelling
optimisation
tool condition monitoring
Opis:
Rapid evolution in sensing, data analysis, and industrial internet of things technologies had enabled the manufacturing of advanced smart tooling. This has been fused with effective digital inter-connectivity and integrated process control intelligence to form the industry I4.0 platform. This keynote paper presents the recent advances in smart tooling and intelligent control techniques for machining processes. Self-powered wireless sensing nodes have been utilized for non-intrusive measurement of process-born phenomena near the cutting zone, as well as tool wear and tool failure, to increase confidence in the process and tool condition monitoring accuracy. Cyber-physical adaptive control approaches have been developed to optimize the cycle time and cost while eliminating machined part defects. Novel artificial intelligence AI-based signal processing and modeling approaches were developed to guarantee the generalization and practicality of these systems. The paper concludes with the outlook for future work needed for seamless implementation of these developments in industry.
Źródło:
Journal of Machine Engineering; 2022, 22, 1; 5-24
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On use of acoustic emission in monitoring of under and over abrasion during a water jet milling process
Autorzy:
Mikler, J.
Powiązania:
https://bibliotekanauki.pl/articles/100049.pdf
Data publikacji:
2014
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
water jet abrasive milling
acoustic emission
signal analysis
water jet abrasive process control
Opis:
Water jet milling process is a new emerging technology with many interesting applications. Low cutting forces, no thermal distortion, process flexibility and ability to machine difficult to cut materials make it very attractive for many technological operations. However, its wider application is hindered by lack of proper solutions of process monitoring that would allow accurate control of the material removal process. The research contributions so far focused on use of acoustic emission, thus the purpose of this paper is an evaluation of the proposed strategies and analysis of applicability of acoustic emission for this purpose. An extensive amount of AE data was collected during waterjet machining with various feed rates, abrasive flows, and pump pressures, and analyzed with the aim to determine whether there exists any feature of the AE signal correlated with under- and over abrasion. Monitoring and control of removal rate is possible only if it is possible to discriminate between AE signal samples originating from different states of the abrasive process. In this paper I present results based on extensive one-way ANOVA study of the AE samples, showing, that the standard AE signal features proposed in the literature the energy and statistics of the AE signal do not allow such discrimination, and are not suitable to monitor abnormalities of the abrasive process. The research covers also principle component analysis of the AE signal energy performed in the aim to study if there exists any subset of the energy allowing better discrimination between the investigated process states.
Źródło:
Journal of Machine Engineering; 2014, 14, 2; 104-115
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

    Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies