Temat: self-excited - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Numerical Simulation of Self-Excited Vibrations Under Variable Cutting Conditions
Autorzy:: Bąk, P. A.
Jemielniak, K.
Powiązania:: https://bibliotekanauki.pl/articles/99477.pdf
Data publikacji:: 2015
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: self-excited vibration
numerical simulation
virtual machining
Opis:: A self-excited vibrations are one of the most important constraints to the performance and quality of machining part and it is affecting its dimensions and geometrical accuracy. Machining stability can be evaluated by different analytical and numerical methods. The paper presents utilization of numerical simulation of non-linear chatter in the time domain in stability analysis of machining process. Vibrations and cutting forces are an output from numerical simulation. In order to perform chatter recognition during excessive vibrations an automatic chatter detection is implemented in machining simulation. By combining all the above in one and enabling G-code reading, a tool for numerical simulation and validation of entire machining operation was created which is a subject of this paper.
Źródło:: Journal of Machine Engineering; 2015, 15, 1; 36-45
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Analysis and simulation of nonlinear self-excited vibrations in turning
Autorzy:: Zeleny, J.
Repak, T.
Fojtu, P.
Powiązania:: https://bibliotekanauki.pl/articles/1429152.pdf
Data publikacji:: 2008
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: machine tool
machining
machining process
self-excited vibrations
Opis:: Commonly applied theories of self-excited vibrations in machine tools are prevailingly based on frequency domain analysis of linear models and are devoted in most cases only to evaluation of stability limits of strictly linear systems. In this way, the behaviour of more stable or more unstable systems cannot be studied and analyzed. Certain important nonlinear effects cannot be studied as well for limitations connected with classical representation of systems only in the frequency domain. Evaluation of stability by analysis of nonlinear systems in time domain has not been applied until now. The paper shows a new approach based on interpretation of the self-excited vibration systems as nonlinear servo-systems. With this approach, linear and nonlinear systems of any degree of stability can be studied by combination of frequency and time-domain methods. This can considerably contribute to better understanding of complex phenomena in various regimes and special situations.
Źródło:: Journal of Machine Engineering; 2008, 8, 4; 68-79
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Dynamic parameter identification in nonlinear machining systems
Autorzy:: Nicolescu, M.
Archenti, A.
Powiązania:: https://bibliotekanauki.pl/articles/100167.pdf
Data publikacji:: 2013
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: machining system
dynamic parameters
white noise excitation
self-excited vibration
Opis:: The demand for enhanced performance of production systems in terms of quality, cost and reliability is ever increasing while, at the same time, there is a demand for shorter design cycles, longer operating life, minimisation of inspection and maintenance needs. Experimental testing and system identification in operational conditions still represent an important technique for monitoring, control and optimization. The term identification refers in the present paper to the extraction of information from experimental data and is used to estimate operational dynamic parameters for machining systems. Such an approach opens up the possibility of monitoring the dynamics of machining systems during operational conditions, and can also be used for control and/or predictive purposes The machining system is considered nonlinear and excited by random loads. Parametric and nonparametric techniques are developed for the identification of the nonlinear machining system and their application is demonstrated both by numerical simulations and in actual machining operations. Discrimination between forced and self-excited vibrations is also presented. The ability of the developed methods to estimate operational dynamic parameters ODPs is presented in practical machining operations.
Źródło:: Journal of Machine Engineering; 2013, 13, 3; 91-116
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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