Founded in 1971 >
Chinese Sci-tech Core Periodicals >
British Science Abstracts (SA, INSPEC) Indexed Journals >
United States, Cambridge Scientific Abstract: Technology (CSA: T) Indexed Journals >
United States, Ulrich's Periodicals Directory(UPD)Indexed Journals >
United States, Cambridge Scientific Abstract: Natural Science (CSA: NS) Indexed Journals >
Poland ,Index of Copernicus(IC) Indexed Journals >
International Standard Serial Number:
ISSN 1001-4551
Sponsor:
Zhejiang University;
Zhejiang Machinery and Electrical Group
Edited by:
Editorial of Journal of Mechanical & Electrical Engineering
Chief Editor:
ZHAO Qun
Vice Chief Editor:
TANG ren-zhong,
LUO Xiang-yang
Tel:
86-571-87041360,87239525
Fax:
86-571-87239571
Add:
No.9 Gaoguannong,Daxue Road,Hangzhou,China
P.C:
310009
E-mail:
meem_contribute@163.com
Abstract: Aiming at the problem that the aleatory uncertainty is only considered in the wear resistance reliability calculation of ball screw pair, and the epistemic uncertainty is not considered. Aiming at this problem, based on uncertainty theory, a reliability model of wear resistance of ball screw pair was established which considered both random uncertainty of parameters and cognitive uncertainty. Firstly, based on the modified Archard theory, the wear resistance model of the ball screw pair was established. Then, by introducing the uncertainty theory, the wear-resistant reliability model of the ball screw pair was established. In view of the problem that the uncertainty distribution of the wear-resistant reliability in the model could not be obtained, a two-layer parameter uncertainty simulation algorithm was proposed. Finally, the established reliability model and the uncertainty simulation algorithm were analyzed and calculated through an example, and the influence of the uncertainty of each parameter on the wear-resistant reliability of the ball screw was analyzed. The results show that the reliability is 0.656522 when the aleatory uncertainty is considered, and the reliability is 0.77007 by Monte Carlo method without aleatory uncertainty. From the calculation results, it is concluded that the uncertainty of the parameters can reduce the reliability of the ball screw. The uncertainty of the guide angle has the greatest influence on the wear resistance reliability, followed by the pitch diameter, wear coefficient, contact angle, axial load and adaptation ratio, and the influence of the ball diameter is the smallest.The research results can provide a reference for the optimal design and reliability improvement of the ball screw pair.
Key words: friction and wear; mechanical transmission mechanism; transmission system reliability; wear resistance reliability; aleatory uncertainty; epistemic uncertainty