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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
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86-571-87041360,87239525
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No.9 Gaoguannong,Daxue Road,Hangzhou,China
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meem_contribute@163.com
Abstract: The fretting problem is one of the main factors that cause the failure of mechanical connection structures. Most studies are currently conducted under constant normal contact load conditions. However, in many practical engineering problems, the multi-axis loading conditions with variable normal load and axial load widely exist and lead to the fact that the current research results on the fretting motion operation mechanism can not well explain the fretting behavior under multi-axis loading conditions. Therefore, firstly based on the traditional fretting fatigue model, the micro-oscillation behavior and dynamic characteristics under the combined action of cyclic alternating normal load and axial load were analyzed, and a Q-P curve analysis method was proposed. Secondly, the functional expression between the biaxial alternating load parameters and the micro-motion operating state was derived. Finally, the effects of different loading parameters (mean value of normal load Pm, amplitude of normal load Pa, mean value of bulk load FB,m, amplitude of bulk load FB,a, phase difference φ of biaxial loading and stiffness ratio Rsti) on the shape and position of Q-P curves were discussed separately. The research results show that the Q-P curve is a linear function under proportional loading and an elliptical function under non-proportional loading. The loading parameters affect the shape and position of the Q-P curve. The Q-P curve analysis method provides an effective characterization method for micromotion failure analysis under complex alternating loads.
Key words: fretting failure analysis; fretting fatigue morphology failure; operating mechanism; contact status; multi-axis variable load; Q-P curve analysis method; MATLAB numerical calculations