Abstract: Wheel profile optimization has improved the performance between the wheel tread and rail on freight railways, which are primarily made up of tangent tracks and large curved tracks. However, it is impossible to overlook the flange wear brought on by the sharp curves that run along the tracks and toward the yards. This paper aims at analyzing how different parameters like curve radius, superelevation and curving speed after a given distance of operation, such as 20000 km influence wear along the curve during operation. A multifaceted research approach combining modeling and data analysis techniques was required to fully understand freight wheel wear in curves. Mathematical models estimated stresses and wear rate based on curve geometry, speed, and loading conditions. Simulations examined complex interactions between influential factors. The results show that when the above distance is run under different curve radius creep, the wear volume increases from 6.8 mm to 3.7 mm as the radius increases from 600 to 1200 m, especially on the outside wheels. Wear increased from 6.6 to 7.8 mm as the speed increased from 40 to 100 km/hr. after a distance of 20000 km. Increasing the superelevation from 80 to 140 mm reduced wear due to improved curves from 7.1 to 6.7 mm after 20.00 km, and a significant decrease in wear volume from 8.9 to 2.3 mm outside wheels after a 20.00 km operational distance.Abstract: Wheel profile optimization has improved the performance between the wheel tread and rail on freight railways, which are primarily made up of tangent tracks and large curved tracks. However, it is impossible to overlook the flange wear brought on by the sharp curves that run along the tracks and toward the yards. This paper aims at analyzing how dif...Show More