Modeling for Dynamic Properties of Honeycomb Paperboard by the Restoring Force-State Mapping Method

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The realization of the potential of honeycomb paperboard as an important cushion material in packaging has inspired a close scrutiny of its properties. In present work, the force-state mapping technique is successfully applied to the honeycomb paperboard dynamical properties modeling problem. A experiment system is set up to learn the dynamic properties of the honeycomb paperboard. According to the experiment data and the force-state mapping method, the model governing the dynamics of honeycomb paperboard-mass system is established. This model can be used to predict the vibration transmissibility of the system. The comparison of the measured and predicted vibration transmissibility indicates this model can predict the resonance frequency well, the measured resonance altitude is about 20% greater than the predicted altitude, the possible sources of this error is discussed.

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506-509

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December 2010

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Guo Yanfeng, Zhang Jinghui: Shock and Vibration Vol. 11(2004), p.521.

Google Scholar

[2] Wang Dongmei, Wang Zhiwei: Packaging Technology and Science Vol. 21(2008), p.309.

Google Scholar

[3] Wang Dongmei: International Journal of Impact Engineering Vol. 36 (2009), p.110.

Google Scholar

[4] Lu Lixin, Sun Yaping and Wang Zhiwei: Packaging Technology and Science Vol. 18 (2005), p.141.

Google Scholar

[5] Zhu Dapeng, Zhou Shisheng: 2008 International Conference on Computer Science and Software Engineering. Vol. 6 (2008), p.417.

Google Scholar

[6] S.F. Masri, T.K. Caughey: Journal of Applied Mechanics Vol. 46 (1979), p.433.

Google Scholar

[7] K. Worden: Mechanical Systems and Signal Processing Vol. 4 (1990), p.295.

Google Scholar

[8] K. Shin, J.K. Hammond: Journal of Sound and Vibration Vol. 211 (1998), p.918.

Google Scholar

[9] S. Duym, J. Schoukens: Mechanical Systems and Signal Processing Vol. 9 (1995), p.139.

Google Scholar

[10] K. Worden: Mechanical Systems and Signal Processing Vol. 4 (1990), p.321.

Google Scholar