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Influence of fibreglass layers on the efficiency of vibration and noise plate dampers

100%

Ondrouch J. , Kanak J. , Bilosova A.

2005

tom z. 28

109-114

The paper deals with the results of experimental research focused on the assessment of the influence of fibreglass layers on the efficiency of plate vibration and noise dampers. The influence on vibration reduction is evaluated on the base of frequency response functions and 1/3 octave band analysis of averaged autospectra of velocity of vibrations, the influence on acoustic emission is evaluated on the base of 1/3 octave analysis of averaged spectra of acoustic pressure and acoustic power.

Wibracje - teoria i analiza (cz. I)

100%

Radzimski A.

2004

tom nr 9

84-87

Przegląd rozwiązań aktywnej kontroli drgań dla narzędzi skrawających

84%

Kasprowiak M.

tom nr 3-4

18--23

W artykule przedstawiono problematykę drgań występujących w trakcie obróbki skrawaniem, negatywne konsekwencje, jakie za sobą niosą, a także to, w jaki sposób wpływają na proces obróbki skrawaniem. Omówiono również nowoczesne materiały wykorzystywane w aplikacjach tłumiących drgania, niemniej jednak zasadniczą część publikacji stanowi przegląd opublikowanych rozwiązań konstrukcyjnych wspomagających walkę ze zjawiskiem drgań towarzyszącym procesowi skrawania.

The paper presents the issue of vibrations during the machining process, negative consequences caused by them and how they influence the machining process. Moreover, smart materials used in vibration damping have been discussed. The main part of the paper describes a review of published solutions which support the fight with the vibration phenomenon during machining.

MOPSO based multi-objective robust H2/H∞ vibration control for typical engineering equipment

84%

Wei H. , Jiang X. , Da-Yong Z. , Jian-Wei L. , Ming-Yi H.

2015

tom Vol. 63, iss. 3

341--359

Vibration control is critically important for engineering equipment, and in modern industrial engineering active strategies with robust performance are often adopted. In traditional studies, a single-objective consideration is often taken into account when robust control is performed, while a simultaneous multi-criterial consideration is ignored. The study outlined in this paper focuses on typical equipment, namely machinery and sensitive equipment. Meanwhile, evaluation of robust performances based on feedback control is considered as the vibration control objective, and performance indexes using H∞ and H2 criterion are regarded as fitness functions. In addition, the latest intelligent algorithm – MOPSO (multi-objective particle swarm optimization) is used and the SPEA2 (strength Pareto evolutionary algorithm 2) is also introduced for comparison as a representative of evolution algorithm. Numerical results show that the Pareto frontier of MOPSO is much smoother and more uniformly distributed than SPEA2, and even more important is that MOPSO can obtain a unique, global and optimal solution gbest, which can avoid having to select just one from a group of equivalent solutions Finally, an analysis of factors which affect the norms is performed, and the numerical verification shows that the disturbance type (single input or multi input) can apparently affect the magnitude of norms, and this finding can provide a broader understanding of robust vibration control. This research proposes a novel multi-objective optimization strategy for robust vibration control, while the traditional approaches can and are still employed. In addition, advanced artificial intelligence plays an important role in vibration detection in engineering application.