Frontiers of Mechanical Engineering >

2011 , Vol. 6 >Issue 2: 229 - 234

DOI: https://doi.org/10.1007/s11465-011-0128-z

RESEARCH ARTICLE

Application of python-based Abaqus preprocess and postprocess technique in analysis of gearbox vibration and noise reduction

  • Guilian YI ,
  • Yunkang SUI ,
  • Jiazheng DU
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  • College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China

Received date: 26 Jul 2010

Accepted date: 30 Aug 2010

Published date: 05 Jun 2011

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
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Abstract

To reduce vibration and noise, a damping layer and constraint layer are usually pasted on the inner surface of a gearbox thin shell, and their thicknesses are the main parameters in the vibration and noise reduction design. The normal acceleration of the point on the gearbox surface is the main index that can reflect the vibration and noise of that point, and the normal accelerations of different points can reflect the degree of the vibration and noise of the whole structure. The K-S function is adopted to process many points’ normal accelerations as the comprehensive index of the vibration characteristics of the whole structure, and the vibration acceleration level is adopted to measure the degree of the vibration and noise. Secondary development of the Abaqus preprocess and postprocess on the basis of the Python scripting programming automatically modifies the model parameters, submits the job, and restarts the analysis totally, which avoids the tedious work of returning to the Abaqus/CAE for modifying and resubmitting and improves the speed of the preprocess and postprocess and the computational efficiency.

Key words： Abaqus secondary development; Python language; vibration and noise reduction; K-S function; vibration acceleration level

Cite this article

Guilian YI , Yunkang SUI , Jiazheng DU . Application of python-based Abaqus preprocess and postprocess technique in analysis of gearbox vibration and noise reduction[J]. Frontiers of Mechanical Engineering, 2011 , 6(2) : 229 -234 . DOI: 10.1007/s11465-011-0128-z

Acknowledgements

This paper was supported by the National Natural Science Foundation of China (Grant No. 10872012), Foundation of National Key Laboratory for Structural Analysis of Indastral Equipment in Dalian Universrty of Technology (GZ1008), and Youth Foundation of Beijing University of Technology (No. X1001015200801).

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