Technical Papers
Dec 17, 2015

Determining Dynamic Scaling Laws of Geometrically Distorted Scaled Models of a Cantilever Plate

Publication: Journal of Engineering Mechanics
Volume 142, Issue 4

Abstract

This study investigates new dynamic scaling laws of geometrically distorted models in predicting the dynamic characteristics of a cantilever plate. The significance of this study is to provide new scaling laws and rules for selecting dynamic scaling laws, which guide the design of distorted models. By considering the size effect of different orders’ vibration, a governing equation and the method of sensitivity analysis are employed to establish dynamic scaling laws between the model and the prototype. Both approximate and accurate scaling laws are investigated and the processes for determining these scaling laws are summarized. After that, a commonly used titanium alloy plate is analyzed as a prototype to compare the accuracy of the approximate scaling laws and the accurate scaling laws. Finally, the applicability of these new scaling laws is validated by experimental data. The results indicate that, by using the new scaling laws, the distorted models can predict the characteristics of the titanium alloy plate prototype with good accuracy.

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Acknowledgments

The authors gratefully acknowledge the financial support from the Fundamental Research Funds for the Central Universities of China (Grants N130503001 and N140301001); the Key Laboratory for Precision & Non-traditional Machining of Ministry of Education, Dalian University of Technology (Grant JMTZ201602); and the Excellent Talents Support Program in Institutions of Higher Learning in Liaoning Province of China (Grant LJQ2015038).

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 142Issue 4April 2016

History

Received: May 3, 2015
Accepted: Sep 14, 2015
Published online: Dec 17, 2015
Published in print: Apr 1, 2016
Discussion open until: May 17, 2016

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Authors

Affiliations

Associate Professor, School of Mechanical Engineering and Automation, Northeastern Univ., Shenyang 110819, P.R. China (corresponding author). E-mail: [email protected]
Yunpeng Zhu [email protected]
Master, School of Mechanical Engineering and Automation, Northeastern Univ., Shenyang 110819, P.R. China. E-mail: [email protected]
Xueyan Zhao, Ph.D. [email protected]
Dept. of Automatic Control and System Engineering, Univ. of Sheffield, Sheffield S13JD, U.K. E-mail: [email protected]
Researcher, AVIC Shenyang Aero-engine Design Institute, Shenyang 110042, P.R. China. E-mail: [email protected]

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