School of Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.
Leonardo Centre for Tribology, Department of Mechanical Engineering, University of Sheffield, Sheffield, S1 3JD, UK.
Sci Data. 2023 Jun 22;10(1):400. doi: 10.1038/s41597-023-02304-x.
Particulate materials are utilised in many applications to manipulate the friction between surfaces. This dataset provides the characteristics of particulates used as rail sand in the train's wheel/rail interface (via an on-board system) to facilitate the train's acceleration and deceleration. Seven materials are studied including Austrian rail sand, standard Great British rail sand, waste glass beads, recycled crushed glass, non-coated alumina, coated alumina, and dolomite. The main objective of this research is to provide a physical and mechanical characterisation of these granular materials in terms of their density, bulk behaviour, particle size, particle shape, hardness, reduced modulus, and mineralogical properties. In particular, three-dimensional raw and post-processed micro-computed tomography images of more than 1200 particles are shared. The results provide a detailed dataset which can be used in ongoing and future experimental and numerical investigations studying the role of particulates in the wheel/rail interface.
颗粒材料在许多应用中被用于控制表面之间的摩擦力。本数据集提供了作为列车轮轨界面中（通过车载系统）用砂的颗粒的特性，以促进列车的加速和减速。研究了七种材料，包括奥地利轨砂、标准大不列颠轨砂、废玻璃珠、回收碎玻璃、未涂层氧化铝、涂层氧化铝和白云石。本研究的主要目的是提供这些颗粒材料在密度、散装特性、粒度、颗粒形状、硬度、减小的模量和矿物学特性方面的物理和力学特性化。特别是，分享了超过 1200 个颗粒的原始和后处理三维微计算机断层扫描图像。研究结果提供了一个详细的数据集，可用于正在进行和未来的实验和数值研究，研究颗粒在轮轨界面中的作用。
