4.7 Article

Measurements of friction coefficients between rails lubricated with a friction modifier and the wheels of an IORE locomotive during real working conditions

期刊

WEAR
卷 324, 期 -, 页码 109-117

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.wear.2014.12.002

关键词

Top-of-rail friction modifie; Sliding; Slipping; Friction coefficient; Full-scale test; Locomotive

向作者/读者索取更多资源

The real friction coefficients between the rails and the wheels on a 360 t and 10,800 kW [ORE locomotive were measured using the locomotive's in-built traction force measurement system. The locomotive consisted of two pair-connected locomotives had a CoCo + CoCo bogie configuration, and hauled a fully loaded set of 68 ore wagons (120 t/wagon). The measurements were performed both on rails in a dry condition and on rails lubricated with a water-based top-of-rail (ToR) friction modifier on the Iron Ore Line between the cities of Kiruna and Narvik in Northern Sweden and Norway, respectively. Since full-scale measurements like these are costly, the friction coefficients were also measured at the same time and place using a conventional hand-operated tribomeier, with and without the ToR friction modifier. The most important results are that the real friction coefficient is definitely not constant and is surprisingly low (0.10-0.25) when the ToR friction modifier is used, and that it is also significantly dependent on the amount of ToR friction modifier. A large amount will reduce the friction coefficient. Furthermore, it is concluded that the real friction coefficients are in general lower than the friction coefficients measured with the hand operated tribometer. A final remark is thus that the use of a water based ToR friction modifier can give excessively low friction, which can result in unacceptably long braking distances. (C) 2014 The Authors. Published by Elsevier B.V

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Engineering, Electrical & Electronic

Road Surface Status Classification Using Spectral Analysis of NIR Camera Images

Patrik Jonsson, Johan Casselgren, Benny Thornberg

IEEE SENSORS JOURNAL (2015)

Article Optics

Estimation of a low-order Legendre expanded phase function of snow

Lavan Kumar Eppanapelli, Benjamin Friberg, Johan Casselgren, Mikael Sjodahl

OPTICS AND LASERS IN ENGINEERING (2016)

Article Optics

Road condition analysis using NIR illumination and compensating for surrounding light

Johan Casselgren, Sara Rosendahl, Mikael Sjodahl, Patrik Jonsson

OPTICS AND LASERS IN ENGINEERING (2016)

Article Engineering, Electrical & Electronic

Reusable road condition information system for traffic safety and targeted maintenance

Johan Casselgren, Ulf Bodin

IET INTELLIGENT TRANSPORT SYSTEMS (2017)

Article Optics

Investigation of snow single scattering properties based on first order Legendre phase function

Lavan Kumar Eppanapelli, Johan Casselgren, Johan Wahlin, Mikael Sjodahl

OPTICS AND LASERS IN ENGINEERING (2017)

Article Engineering, Environmental

Estimation of Liquid Water Content of Snow Surface by Spectral Reflectance

Lavan Kumar Eppanapelli, Nina Lintzen, Johan Casselgren, Johan Wahlin

JOURNAL OF COLD REGIONS ENGINEERING (2018)

Article Engineering, Mechanical

Optical Attenuation Characterization of Water Contaminated Lubricating Grease

Nicholas Dittes, Anders Pettersson, Mikael Sjodahl, Johan Casselgren, Par Marklund, Piet M. Lugt

TRIBOLOGY TRANSACTIONS (2018)

Article Chemistry, Physical

3D Analysis of Deformation and Porosity of Dry Natural Snow during Compaction

Lavan Kumar Eppanapelli, Fredrik Forsberg, Johan Casselgren, Henrik Lycksam

MATERIALS (2019)

Article Chemistry, Analytical

Calibration of a Hyper-Spectral Imaging System Using a Low-Cost Reference

Muhammad Saad Shaikh, Keyvan Jaferzadeh, Benny Thornberg, Johan Casselgren

Summary: This study presents a hyper-spectral imaging system for measuring road conditions, using a low-cost calibration reference to measure relative reflectance of any material surface independent of spectral distribution and camera sensitivity. Results show that the acquired spectral data can effectively differentiate different road conditions, demonstrating the system's suitability for material classification.

SENSORS (2021)

Article Chemistry, Multidisciplinary

Using Deep Learning to Predict the Amount of Chemicals Applied on the Wheel Track for Winter Road Maintenance

Mahshid Hatamzad, Geanette Cleotilde Polanco Pinerez, Johan Casselgren

Summary: This paper investigates the accurate prediction of salt quantity for winter road maintenance using a deep neural network, showing its effectiveness and efficiency.

APPLIED SCIENCES-BASEL (2022)

Article Computer Science, Artificial Intelligence

Intelligent cost-effective winter road maintenance by predicting road surface temperature using machine learning techniques

Mahshid Hatamzad, Geanette Cleotilde Polanco Pinerez, Johan Casselgren

Summary: This study proposes an intelligent methodology that combines data envelopment analysis and machine learning techniques to predict the efficiency of winter road maintenance and achieve efficient and effective maintenance through road surface temperature prediction.

KNOWLEDGE-BASED SYSTEMS (2022)

Article Public, Environmental & Occupational Health

Addressing Uncertainty by Designing an Intelligent Fuzzy System to Help Decision Support Systems for Winter Road Maintenance

Mahshid Hatamzad, Geanette Polanco Pinerez, Johan Casselgren

Summary: Designing an accurate prediction model for road surface friction coefficient is a key challenge in developing efficient and effective winter road maintenance. This study uses an adaptive neuro-fuzzy inference system to address uncertainties and demonstrates the excellent ability of the proposed model to predict the road surface friction coefficient through real data validation.

SAFETY (2022)

Article Computer Science, Information Systems

Using Slightly Imbalanced Binary Classification to Predict the Efficiency of Winter Road Maintenance

Mahshid Hatamzad, Geanette Polanco Pinerez, Johan Casselgren

Summary: Efficiency prediction in winter road maintenance (WRM) is crucial for road transportation safety and cost reduction in cold climate countries. This study presents a classification prediction model combining data envelopment analysis and machine learning techniques to classify decision-making units into efficient and inefficient classes. Results show that utilizing a support vector machine and genetic algorithm combination yields the best generalization performance.

IEEE ACCESS (2021)

Article Engineering, Industrial

Industrial internet applications for efficient road winter maintenance

Johan Odelius, Stephen Mayowa Famurewa, Lars Forslof, Johan Casselgren, Heikki Konttaniemi

JOURNAL OF QUALITY IN MAINTENANCE ENGINEERING (2017)

Article Engineering, Mechanical

Entropy-based fluid-solid-thermal coupled wear prediction of journal bearing during repeated starting and stopping

Yankui Song, Ke Xiao, Guo Xiang

Summary: The novelty of this study lies in constructing an Entropy-based wear and fluid-solid-thermal (FST) coupled model for journal bearings, and revealing the transient interaction behavior between wear evolution and FST evolution during repeated starting and stopping. The wear rate is measured experimentally, and the contact temperature, friction coefficient and normal contact force are obtained from the validated FST model. Wear tests and numerical calculations are conducted to validate the predicted wear rate and investigate the time-varying wear and FST evolution of journal bearings.
Article Engineering, Mechanical

Effect of different gaps in the conductor rail joints on the current-carrying wear performance of carbon skateboards/conductive rail contact

Xin-long Liu, Xin Guan, Yuan Zhong, Qian Xiao, Yong Cao, Wu-lue Zhang, Song Zhang, Yi-ting Zheng, Ming-sheng Gao, Dao-yun Chen, Wen-bin Yang

Summary: Gaps in the conductor rail joints of intercity trains have an impact on current transmission and the wear of carbon skateboards. These gaps decrease the coefficient of friction, increase electrical contact resistance, and affect the wear rate of carbon skateboards.
Article Engineering, Mechanical

Enhancing friction and vibration reduction properties of a polymer using h-BN particles

Yuhang Wu, Conglin Dong, Xiuqin Bai, Chengqing Yuan

Summary: The study developed a new composite material by incorporating hexagonal boron nitride (h-BN) particles into a thermoplastic polyurethane (TPU) matrix, which exhibited excellent self-lubricating properties and reduced frictional excitation forces. The addition of h-BN particles effectively reduced the coefficient of friction, decreased fluctuation amplitude, enhanced wear resistance, and attenuated vibration behaviors.
Article Engineering, Mechanical

Anti-wear and vibration-noise control of nitrogen-doped graphene/C60 nano additives

Tiancheng Ouyang, Xiuyang Sun, Wentao Tang, Yinxuan Li, Zhi Qun Tian, Yanzhou Li

Summary: By adding nitrogen-doped graphene and C60 nanoparticles to the lubricant, a highly efficient nano-lubricant with vibration and noise reduction properties is synthesized.
Article Engineering, Mechanical

Cavitation erosion resistance and tribological performance of PAI/PI/EP soft coating on 20CrMo

Xin Zhuo, Jun Cao, Haibo Huang, Li Liu, Xinkun Suo, Peiqing Ye, Zeshan Abbas

Summary: A polymer coating prepared by liquid spraying technology on the surface of 20CrMo steel demonstrates good tribological and anti-cavitation erosive properties. It can effectively replace CuPb24Sn copper alloy in valve plates for pumps under different lubrication conditions. The coating exhibits adhesive wear and reduces frictional loss, and mainly shows abrasive wear under complex working conditions. Its lipophilicity, high hardness to elastic modulus ratio, and corrosion resistance are the main influencing factors for its performance.
Article Engineering, Mechanical

Optimizing material selection: A study of erosion-corrosion performance in homogeneous and carbide-containing materials

Md. Aminul Islam, Jiaren (Jimmy) Jiang, Yongsong Xie

Summary: Erosion-corrosion is a major factor in material loss and reduced useful life of hydro-transport equipment. This study evaluates the erosion-corrosion characteristics of different materials and finds that matrix wear affects the degradation of carbides. Sufficient wear and corrosion resistance in the surrounding matrix are important for good erosion-corrosion resistance.
Article Engineering, Mechanical

Effect of roughness, contact pressure and lubrication on the onset of galling of the 6082 aluminium alloy in cold forming, a numerical approach

Andre Dubois, Oussama Filali, Laurent Dubar

Summary: This study investigates the effect of surface roughness, contact pressure, and lubrication on the onset of galling in aluminum 6082-T6 using a pin-on-plate tribometer. The experimental results show that the roughness and lubricants play a significant role in preventing galling.
Article Engineering, Mechanical

A comprehensive evaluation of DLC coating on gear bending fatigue, contact fatigue, and scuffing performance

Jizhan Wu, Peitang Wei, Guoqiang Liu, Difa Chen, Xiuhua Zhang, Taimin Chen, Huaiju Liu

Summary: This study conducted a comprehensive evaluation of the DLC coating treatment on the loading capacity of gears and characterized the surface features and fatigue performance. The results demonstrate that DLC coating significantly improves the hardness and surface residual compressive stress of the gears, as well as enhances their contact fatigue performance.
Article Engineering, Mechanical

Single asperity nanoscale wear of carbides and matrix of wrought high carbon CoCrMo alloy

Yangping Liu, Hwaran Lee, Annsley Mace, Jeremy L. Gilbert

Summary: An AFM-based single asperity tribology method was used to investigate the wear performance of carbides and base metal matrix in high carbon CoCrMo alloy. The wear behavior of the two types of carbides was stress-dependent and influenced by chemical composition. Cr-rich carbides exhibited higher wear resistance compared to Mo-rich carbides.
Article Engineering, Mechanical

A study of the erosion characteristics of an EN AE-6060 aluminium alloy processed using middle and high power continuous and modulated water jets

Zdenek Riha, Michal Zelenak, Akash Nag, Jakub Poloprudsky, Tomas Kruml, Sergej Hloch

Summary: This study investigates the erosion performances of a high-speed modulated jet (MWJ) and continuous water jet (CWJ). By comparing different nozzles and water jet powers, the effects of modulated and continuous jets on aluminum alloy were studied. The results show that under certain conditions, modulated jet can create deeper and sharper grooves while reducing the impact of lateral flow.
Article Engineering, Mechanical

Research on wear rate of train brake pads driven by small sample data

Chunyu Yu, Weipu Li, Yang Guo, Xianbin Sun, Fanli Hong, Ning Sun, Qinghai Zhang

Summary: This study explores the relationship between the wear rate of train brake pads and its features, and proposes a method for predicting the wear rate suitable for small sample data. Grey relational analysis and Pearson correlation analysis are used to determine the preferred features that affect the wear rate, and a BOA-BP model is established for prediction. The results show that BOA-BP exhibits better advantages in prediction with small samples.
Article Engineering, Mechanical

Influence of high-frequency vibrations on the wheel-rail creep curve at high speeds

Shan Yin, Xin Zhao, Shuangchao Huang, Zefeng Wen, Xuesong Jin

Summary: This study simulated the rolling contact of a driving wheelset over tangent and curved tracks at a speed up to 500 km/h using an explicit finite element approach to derive creep curves. The comparison between quasi-steady curves and transient curves in the presence of rail corrugation helped to identify cases where traditional theories are inapplicable and where transient effects must be considered. Additionally, the study further analyzed the influence of middle/high-frequency vibrations in the presence of rail corrugation.
Article Engineering, Mechanical

Unveiling microstructural evolution and enhanced wear resistance of Co37Cr28Ni31Al2Ti2 multicomponent alloy via high-carbon addition

Jiyao Zhang, Yuanlie Yu, Junlei Tang, Yingying Wang, Honggang Sun, Kaikai Song, Jianhong Gong, Pingping Liu, Xiaoming Liu, Lina Hu, Parthiban Ramasamy, Juergen Eckert

Summary: The influence of high-carbon addition on the microstructure, hardness, and wear behavior of CoCrNi alloy was investigated. It was found that the addition of carbon resulted in the formation of carbide particles, enhancing the hardness and improving the wear resistance. Fracture and detachment of hard carbides during friction introduced additional abrasive particles, transitioning the wear mechanism from adhesive-dominated to abrasive-dominated.
Article Engineering, Mechanical

Non-layered two-dimensional nanodiamond plates as nanoadditives in water lubrication

Yanfei Liu, Shengtao Yu, Ruize Zhang, Xiangyu Ge, Wenzhong Wang

Summary: This study reports the tribological behavior of nanodiamond plate (NDPL) as a nanoadditive for the first time and compares it with nanodiamond particles (NDPA). The results show that NDPL provides better lubrication performance at higher concentrations, and the sliding between NDPLs and the structural transformation from sp3 to sp2 carbon play a crucial role in lubrication and wear resistance.