RESEARCH ARTICLE

Explicit optimization method for cutting-screw-thread on the basis of dual-RSM

  • Zhengbao LEI , 1 ,
  • Shubin WEI 2 ,
  • Qingyun DU 2
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  • 1. Engineering Research Center of Catastrophic Prophylaxis and Treatment of Road & Traffic Safety, Ministry of Education, Changsha 410004, China
  • 2. School of Automotive & Mechanical Engineering, Changsha University of Science and Technology, Changsha 410004, China

Received date: 28 Apr 2010

Accepted date: 21 May 2010

Published date: 05 Dec 2010

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg

Abstract

To obtain the explicit function for optimizing the cutting-screw-thread (CST) in crash, the simulations of frontal crash at the speed of 56 km/h have been carried out in VPG. The peak acceleration in crash has been taken as the evaluation index of energy absorption characteristics. First, the single factor experiment was taken based on six parameters affecting on the absorption characteristics of CST. Second, the peak acceleration function of each parameter by using response surface method (RSM) is obtained. Third, the explicit resultant peak acceleration function of six parameters by using RSM again is obtained. A dual RSM-based explicit method is proposed. According to this function, the best size dimensions of CST in different crash conditions could be easily obtained. Finally, an example shows that the values of the calculation errors for simulation value and target value (40 g) are 3.6% and 1.3%, respectively. This method can satisfy the demand for engineering accuracy.

Cite this article

Zhengbao LEI , Shubin WEI , Qingyun DU . Explicit optimization method for cutting-screw-thread on the basis of dual-RSM[J]. Frontiers of Mechanical Engineering, 2010 , 5(4) : 423 -430 . DOI: 10.1007/s11465-010-0109-7

Acknowledgements

The authors gratefully acknowledge the financial support of the Open Fund of Engineering Research Center of Catastrophic Prophylaxis and Treatment of Road & Traffic Safety (Changsha University of Science & Technology), Ministry of Education, and the Postgraduate Innovation Fund of Hunan Province (No. CX2009B183), the Science and Technology Program of Hunan Province (No. 2008CK3074), Changsha Key Program, and the 863 Program of China (No. 2006AA11Z224).
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