Model-based design approach to reducing mechanical vibrations

• Autorzy: Czop P. , Wszołek G.
• Języki publikacji: EN

Abstrakty

EN

Purpose: The paper presents a sensitivity analysis method based on a first-principle model in order to reduce mechanical vibrations of a hydraulic damper. Design/methodology/approach: The first-principle model is formulated using a system of continuous ordinary differential equations capturing usually nonlinear relations among variables of the hydraulic damper model. The model applies three categories of parameters: geometrical, physical and phenomenological. Geometrical and physical parameters are deduced from construction and operational documentation. The phenomenological parameters are the adjustable ones, which are estimated or adjusted based on their roughly known values, e.g. friction/damping coefficients. Findings: The sensitivity analysis method provides major contributors and their magnitude that cause vibrations Research limitations/implications: The method accuracy is limited by the model accuracy and inherited nonlinear effects. Practical implications: The proposed model-based sensitivity method can be used to optimize prototypes of hydraulic dampers. Originality/value: The proposed sensitivity-analysis method minimizes a risk that a hydraulic damper does not meet the customer specification.

Słowa kluczowe

EN

engineering design; computer assistance in engineering; model-based design; first-principle model; sensitivity analysis

PL

projektowanie techniczne; pomoc komputerowa w inżynierii; projektowanie oparte na modelu; pierwsza zasada modelu; analiza wrażliwości

• Wydawca: International OCSCO World Press
• Czasopismo: Journal of Achievements in Materials and Manufacturing Engineering
• Rocznik: 2013
• Tom: Vol. 60, nr 1
• Strony: 39--47
• Opis fizyczny: Bibliogr. 15 poz., rys., tab.

Twórcy

autor

Czop P.

• Department of Robotics and Mechatronics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Poland

autor

Wszołek G.

• Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland

Bibliografia

• [1] M. Annarumma, A. Naddeo, M. Pappalardo, Software independence, impact on automotive product development process, Journal of Achievements in Materials and Manufacturing Engineering 31/2 (2008) 725-735.
• [2] K. Białas, Comparison of passive and active reduction of vibrations of mechanical systems, Journal of Achievements in Materials and Manufacturing Engineering 18 (2006) 455-458.
• [3] K. Białas, Synthesis of mechanical systems including passive or active elements reducing of vibrations, Journal of Achievements in Materials and Manufacturing Engineering 20 (2007) 323-326.
• [4] A. Buchacz, The synthesis of vibrating bar-systems represented by graph and structural numbers, Scientific Letters of Silesian University of Technology, Mechanics 104, Silesian University of Technology Press, 1991 (in Polish).
• [5] A. Buchacz, D. Gałęziowski, The Inverse task of discrete vibrating systems, Silesian University of Technology Press, 2012 (in Polish).
• [6] A. Buchacz, S. Żółkiewski, Dynamic analysis of the mechanical systems vibrating transversally in transportation, Journal of Achievements in Materials and Manufacturing Engineering 20 (2007) 331-334.
• [7] J. Świder, G. Wszołek, K. Foit, P. Michalski, S. Jendrysik, Example of the analysis of mechanical system vibrations in GRAFSIM and CATGEN software, Journal of Achievements in Materials and Manufacturing Engineering 20 (2007) 391-394.
• [8] P. Czop, D. Sławik, A high-frequency model of a shock absorber and servo-hydraulic tester, Mechanical Systems and Signal Processing 25/6 (2011) 1937-1955.
• [9] P. Czop., K. Kost, D. Sławik, G. Wszołek, Formulation and identification of first-principle data-driven models. Journal of Achievements in Materials and Manufacturing Engineering 44/2 (2011) 179-186.
• [10] P. Czop, D. Sławik G. Wszołek, Demonstration of first-principle data-driven models using numerical case studies. Journal of Achievements in Materials and Manufacturing Engineering 45/2 (2011) 170-177.
• [11] L. Ljung, System identification - Theory for the user, Prentice-Hall, USA, 1999.
• [12] Matlab/Simulink package documentation, The Math Works Inc., Natick 1998.
• [13] J. Madar, J. Abonyi, F. Szeifert, Feedback linearizing control using hybrid neural networks identified by sensitivity approach, Engineering Applications of Artificial Intelligence 18/3 (2006) 343-351.
• [14] P. Czop, A. Skrobol, D. Sławik, G. Wszolek, A nonlinear, data-driven model applied in the design process of discspring valve systems used in hydraulic dampers, SIMULATION Transactions of The Society for Modeling and Simulation International 89/3 (2013) 419-431.
• [15] T. Dzitkowski, A. Dymarek, Design and examining sensitivity of machine driving systems with required frequency spectrum, Journal of Achievements in Materials and Manufacturing Engineering 26/1 (2008) 49-56.