철도 차륜 플랜지 손상 저감을 위한 차륜 형상 설계

초록

Wear and fatigue damage of the railway wheel and rail affects the safety and maintenance of the railway vehicle. To reduce the damage of wear and fatigue in wheel and rail, it is necessary to optimize wheel profile by solving the multi-objective function problem, because it is generally recognized that wear and fatigue damage occurs concurrently in most railway environment. This paper proposes an optimum profile of railway wheel that can simultaneously reduce the wear and fatigue while running on the curved track. The vehicle dynamics analysis was performed to analyze the dynamic characteristics according to the variation of wheel profile. For the genetic algorithm based multi-objective optimization, Pareto-optimal solution obtained from NSGA-II(Non-dominated Sorting Genetic Algorithm-II) is used to acquire an optimum profile of railway wheel which can reduce the wear and fatigue. It was found that an optimum wheel profile not only reduces wear and fatigue of wheel than initial wheel profile, but also shows good results of a derailment and lateral force.