ADVANCED COMPUTATIONAL MODELS OF ELASTOMER PARTS IN AUTOMOTIVE TECHNOLOGY
Keywords:
elastomer, rheological models, hysteretic damping, optimization algorithmsAbstract
In automotive industry, the virtual prototyping means the widest possible use of CAD (computer-aided-design) and CAE (computer-aided-engineering) programs applied for validation and testing of the design before the first prototype. For the success of this method, all substructures of the complex computational models shall be designed similarly. The paper deals with the computational models of elastomer parts. These have acquired an increasingly important role in the design of modern powertrains and automobiles when reducing vibrations and noise, as well as increasing reliability and durability.
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Vieweg, 2013. 245 p. ISBN 978-3-658-00789-8.
(2) Torsional Vibration Dampers. TrelleborgVibracoustic [online]. 2015 [cit. 2015-03-29].
Available from: www.tbvc.com
(3) WALLER, H., SCHMIDT, R. Schwingungslehre für Ingenieure, first edition. BI –
Wissenschaftsverlag, Mannheim/Wien/Zürich (1989). ISBN978-3540622833.
(4) MEIROVITCH, L. Elements of Vibration Analysis, second edition. McGraw-Hill, New
York (1986). ISBN 978-0070413429.
(5) LIN, H. Dynamic Analysis of Structures with Elastomers using Substructuring with Non
Matched Interfaces and Improved Modeling of Elastomer Properties. Dissertation thesis,
Oakland University (2009). ISBN 978-1109426328.
(6) MATOUŠEK, R., ŽAMPACHOVÁ, E. Promising GAHC and HC12 algorithms in global
optimization tasks. Optimization Methods & Software 26(3), 405–419 (2011)
(7) YANG, X.S., Hosseini, S.S.S., GANDOMI, A. H. Firefly algorithm for solving nonconvex
economic dispatch problems with valve loading effect. Applied Soft Computing
12(3), 1180–1186 (2012)
(8) ŠANDERA, C., POPELA, P., ROUPEC, J. The worst case analysis by heuristic
algorithms. In: R. Matoušek (ed.) Proceedings of 15th International Conference on Soft
Computing – MENDEL 2009, No. 15 in MENDEL, pp. 109–114. Brno University of
Technology, VUT Press, Brno (2009). ISBN 978-80-214-3884-2
(9) CHEN, S.M., SAROSH, A. Dong, Y. F. Simulated annealing based artificial bee colony
algorithm for global numerical optimization. Applied Mathematics and Computation
219(8), 3575–3589 (2012)
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