Random vibration damage and fatigue life prediction of automobile logistics equipment

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Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (13) : 287-295.

QI Chang1,2， GAO Jian1,2， MIAO Tingting3

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Abstract

Auto parts products are often transported by logistics equipment in the form of stacking to avoid damage. In this paper, the random vibration experiment method is used to analyze the vibration damage of stacking steel logistics bins under three different vibration levels. Then, based on the interaction relationship between logistics bins, load and fixture, the explicit finite element model of panoramic skylight transportation equipment is established. The fatigue response of the equipment under stationary Gaussian random vibration is studied. The deformation and equivalent stress at the key position are obtained, and the fatigue life of the equipment is predicted. The results show that the resonance frequency obtained by finite element analysis is 3.4% different from that of random vibration experiment; The vibration response of the bin is mainly affected by the low-order resonance frequency, and the maximum stress is concentrated at the connection between the stacking column and the pallet; The response acceleration of the upper load 1.42g is significantly higher than that of the lower load 0.79g, while the difference between the response acceleration of the same upper load is less than 1.7%; The response accelerations of the upper and lower stacking columns are 0.82g and 0.79g respectively, and the difference is not obvious. The above method can simulate the vibration fatigue of automobile logistics equipment and the vulnerable points of loads in the process of transportation, and can provide a certain reference for the design of automobile logistics equipment.

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logistics bins / random vibration / fatigue life / finite element analysis / stacking

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QI Chang1,2， GAO Jian1,2， MIAO Tingting3. Random vibration damage and fatigue life prediction of automobile logistics equipment[J]. Journal of Vibration and Shock, 2023, 42(13): 287-295

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