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Wyszukujesz frazę "Archenti, A." wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Identification and Analysis of Linked SystemsDynamic Accuracy Proposal of a Measurement Approach and Instrumentation
Autorzy:
Dapero, A.
Archenti, A.
Powiązania:
https://bibliotekanauki.pl/articles/99462.pdf
Data publikacji:
2015
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
machining system
accuracy
dynamics
elastically linked system
Opis:
In this paper a measurement approach and instrumentation for capturing the dynamic stiffness of a linked system is proposed. The approach is based on the loaded double ball bar (LDBB) in combination with an integral dynamic shaker. The innovation is the introduction of a dynamic load besides the static one given by the LDBB and consequently able to extract the frequency response functions, taking advantage of the possibility of orienting the LDBB in different directions of the machine tool. The dynamic behaviour is studied through experimental modal analysis. The test conditions are therefore more similar to a cutting situation in which both a static and a dynamic component of force characterise the system. However, it must be underlined that the introduced dynamic force does not replicate the one arising in a cutting operation, but it is chosen instead for its spectrum characteristics, i.e. the energy introduced must equally cover a given range of frequencies. The test method is able to reveal machine tool characteristics not obtainable with existing methods, for instance the variation of dynamic stiffness in the working space. The paper will include some theoretical aspects on the approach as well as some experimental investigation.
Źródło:
Journal of Machine Engineering; 2015, 15, 3; 90-105
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Machine tool ability representation: a review
Autorzy:
Sadasivam, L.
Archenti, A.
Sandberg, U.
Powiązania:
https://bibliotekanauki.pl/articles/99804.pdf
Data publikacji:
2018
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
machine tool
ability
health
predictive maintenance
accuracy
Opis:
Smart manufacturing and predictive maintenance are current trends in the manufacturing industry. However, the holistic understanding of the machine tool health condition in terms of accuracy, functions, process and availability is still unclear. This uncertainty renders the development of models and the data acquisition related to machine tool health condition ineffective. This paper proposes the term machine tool ability as an interconnection between the accuracy, functions, the process and the availability to overcome the lack of the holistic understanding of the machine tool. This will facilitate the further development of qualitative or quantitative methods as well as models. The research highlights the challenges and gaps to understand the machine tool ability.
Źródło:
Journal of Machine Engineering; 2018, 18, 2; 5-16
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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