Abstract
An improved parallel inverse design method is proposed for wheel profile optimization. The dominant merit of this method is the ability to automatically search the target performance curve and obtain the optimized profile without artificial experience. With the help of vehicle system dynamic theory, an EMU model has been established in Simpack, and the dynamic performance is calculated with two profiles, i.e., optimization profile and original profile. The contact and mechanical characters are analyzed by Hertz’s theory, Kalker global algorithm, and CONTACT program. It is found that the rolling radius difference (RRD) with the optimization profile is higher than the original one, especially when the lateral displacement is greater than 3 mm. The creep force density with the optimization profile is significant with a wheelset displacement of 6∼9 mm. Compared with the original one, the distribution of contact points with the optimization profile is more uniform, and the contact position is more biased towards the root of the wheel flange. It means the optimization profile can provide higher RRD value and creep force with large lateral displacement, which is beneficial for reducing wheel flange wear. The dynamic simulation indicates that the optimization profile can help reduce the wheel flange force and wheel flange wear in a sharp curve. Meanwhile, the dynamic behaviors and wheel tread wear on a tangent track or a large curved track are also favorable with the optimization profile.
Highlights
High-speed railway plays an increasingly important role in the railway system because of its safety, convenience, comfort, and large transport capacity
With the increase in the speed and carrying capacity of the EMU, the wear problems stand out [1]. e high-speed railways are mainly composed of tangent track and large curved track, and the matching performance between the wheel tread and rail has improved by wheel profile optimization [2,3,4,5,6]
It shows that the rolling radius difference (RRD) of the optimization profile is much higher when the lateral displacement is beyond 3 mm. e larger RRD means larger equivalent conicity, which can improve the curving performance of the vehicle. e improved curve negotiation will reduce the contact possibility between wheel flange and rail, which is helpful to the reduction of flange wear
Summary
High-speed railway plays an increasingly important role in the railway system because of its safety, convenience, comfort, and large transport capacity. E high-speed railways are mainly composed of tangent track and large curved track, and the matching performance between the wheel tread and rail has improved by wheel profile optimization [2,3,4,5,6]. A large wheel flange force under a sharp curve will inevitably cause severe wheel flange wear and side rail wear, which becomes the decisive factor for rail replacement on a curved track [8]. E abnormal flange wear can affect the wheel/rail contact performance, matching state, and vehicle dynamic performance [17, 18]. The wheel/rail profile optimization, which can improve the wheel/rail matching relationship, has a significant effect on reducing
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