RAILSANDING

Lead Research Organisation: Newcastle University
Department Name: Sch of Engineering

Abstract

Railway industry invests considerable resources to manage low adhesion caused by the build-up leaves, despite these efforts, adhesion issues still have a significant safety and financial impact on the industry and society. The current process of treating railheads to resolve the issue has less than 20% efficiency. The treatment plan is based on a set of assumptions and operator's experience, but actual adhesion enhancement levels are not considered as they are unknown.
Low adhesion is estimated to cost the UK industry £345m per annum and leads to costly delays as well as safety issues due to the loss of traction, potentially leading to uncontrolled condition and in the worst-case collisions. Rail Standard Safety Board (RSSB) has developed the ADHERE research programme to strategically tackle this challenge. However, the lack of fundamental understanding of the fundamental physics at the rail-wheel interface presents a barrier to progress.
The rail-wheel interface is a multi-scale, multi-phase problem which has a highly transitory condition and it is exposed to open operating environments that can produce a variety of contaminations. Understanding the physical and chemical interactions at the interface is challenging, but it is essential and the only route to tackle the problem. In this project, a predictive computational model to simulate adhesion enhancement using sand particles in the rail-wheel interface will be a deliverable. This tool will be calibrated using experimental data at the micro-scale and validated using a full-scale rail-wheel set-up in collaboration with Prof Roger Lewis at the University of Sheffield. Running computational parametric simulations will lead to underscoring the crucial role of particle characteristics to assess the current assumptions stated in the RSSB standard catalogue GMRT2461. I hypothesise that tailoring particle characteristics (such as shape) will enhance 'self-steering' and 'self-entraining' of particles in rail-wheel interface, therefore it reduces particle ejections and increases efficiency. The outcomes of this project will be disseminated to stakeholders at an event hosted by RSSB, in addition to usual academic dissemination routes, i.e. conferences and journals.

The main impact of this research work will be:
In the short term: developing an understanding of the role of particle characteristics in adhesion enhancement; engagement with public and industry.
In the mid-term: informing planning and decision-making models, design engineers and consultants; amendment of standard.
In the long term: increased network capacity, reduced carbon, lower costs and improved customer satisfaction.

Publications

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Maramizonouz S (2023) Numerical modelling of particle entrainment in the wheel-rail interface in Computational Particle Mechanics

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Maramizonouz S (2023) Characterisation and tribological testing of recycled crushed glass as an alternative rail sand in Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit

 
Title Characterisation of the Particulate Materials proposed as Traction Enhancers 
Description This dataset provides the characteristics of particulates used as rail sand in the train's wheel and rail interface to facilitate the train's acceleration and deceleration. Full description is provided in a companion paper to be published in Scientific Data. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact This dataset provides a physical and mechanical characterisation of seven candidate 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. 
URL https://data.ncl.ac.uk/articles/dataset/Characterisation_of_the_Particulate_Materials_proposed_as_Tr...
 
Description Kinetic Adhesion Test to Determine Particle Surface Energy 
Organisation University of Deusto
Country Spain 
Sector Academic/University 
PI Contribution Host their PhD student, shared the idea, provided the lab space and required equipment, purchased sensors and structure, supervision
Collaborator Contribution staff time (3 months secondment) including travel and accommodation cost, setting up the device, writing the code and commissioning the device
Impact Kinetic Adhesion Test apparatus to determine powder's adhesive surface energy https://zenodo.org/record/7448231#.ZBBoiHbP2Uk
Start Year 2022
 
Title Kinetic Adhesion Test to Determine Particle Surface Energy 
Description A new hardware is described to quantify the particle surface energy by assuming that the Johnson Kendall and Roberts theory of elastic-adhesive contacts is applicable. The setup is used in the active section of the measurement, where newly designed elements provide the sharp impact needed to detach the particles under the action of their own kinetic energy. It employs a selection of sensors to provide the necessary measurements in a streamlined procedure, which lets the user complete one test in less than one minute. 
Type Of Technology New/Improved Technique/Technology 
Year Produced 2022 
Open Source License? Yes  
Impact The surface energy is a significant parameter for the characterisation of particulate materials and is widely used in Discrete Element simulations of the bulk behaviour. 
URL https://doi.org/10.5281/zenodo.7448231