Experimental evaluation of tramway track wear by means of 3D metrological optical scanners

ABSTRACT Wear evaluation of rolling components is crucial for tramway dynamics, maintenance and safety. 2D contact wear measurement techniques are the most commonly used to detect the health conditions of rails. In this paper, the novel use of a portable metrological 3D optical scanner is proposed and compared to the prior 2D methods. Laboratory results show that the application of 3D optical digitizers gives results consistent with the 2D results but gives also a more complete and global view of the wear phenomenon. Different inspection procedures are compared and discussed in order to propose the best method to perform 3D wear mapping. The results of on-line experimental campaigns on the real tramway line of Florence (Italy), performed with the current and the new proposed instruments and methods, are also presented and compared. From the results of this paper, new strategies for the maintenance service of tramways, and especially of the Florentine tramway, can be proposed.

[1]  S. L. Grassie,et al.  MEASUREMENT OF LONGITUDINAL RAIL IRREGULARITIES AND CRITERIA FOR ACCEPTABLE GRINDING , 1999 .

[2]  Joe Kalousek,et al.  A numerical simulation of wheel wear , 2005 .

[3]  Simon Iwnicki,et al.  Handbook of railway vehicle dynamics , 2006 .

[4]  Stefano Bruni,et al.  A mathematical model to predict railway wheel profile evolution due to wear , 2006 .

[5]  R. Stock,et al.  The effects of top of rail friction modifier on wear and rolling contact fatigue : Full-scale rail-wheel test rig evaluation, analysis and modelling , 2008 .

[6]  Mats Berg,et al.  Proposed procedure and trial simulation of rail profile evolution due to uniform wear , 2008 .

[7]  J. Nielsen,et al.  Monitoring of rail corrugation growth due to irregular wear on a railway metro curve , 2009 .

[8]  J. Ambrósio,et al.  Mapping railway wheel material wear mechanisms and transitions , 2010 .

[9]  Guangjun Zhang,et al.  Simple and fast rail wear measurement method based on structured light , 2011 .

[10]  Monica Malvezzi,et al.  Development and validation of a wear model for the analysis of the wheel profile evolution in railway vehicles , 2012 .

[11]  Monica Malvezzi,et al.  Development of a wear model for the prediction of wheel and rail profile evolution in railway systems , 2012 .

[12]  Ma Xiaojun,et al.  Detection and Recovery Algorithm of Rail Surface Short Wavelength Irregularities Based on Chord Measuring Method , 2013 .

[13]  Yu Zhou,et al.  Rail Short Wave Irregularities Restoration Algorithm Based on Digital Inverse Filter Technology , 2013 .

[14]  Xiao Jun Mao,et al.  A New Method for Detecting Rail Short Wave Irregularity , 2013 .

[15]  Benedetto Allotta,et al.  Development of an innovative wheel–rail contact model for the analysis of degraded adhesion in railway systems , 2014 .

[16]  Enrico Meli,et al.  Development of a wear model for the analysis of complex railway networks , 2014 .

[17]  Maria Cristina Valigi,et al.  Study of Wear of Planetary Concrete Mixer Blades Using a 3D Optical Scanner , 2015 .

[18]  S. L. Grassie Measurement of Long Wavelength Irregularities on Rails , 2015 .

[19]  Benedetto Allotta,et al.  Modeling and Control of a Full-Scale Roller-Rig for the Analysis of Railway Braking Under Degraded Adhesion Conditions , 2015, IEEE Transactions on Control Systems Technology.

[20]  Maria Cristina Valigi,et al.  Wear resistance of blades in planetary concrete mixers. Design of a new improved blade shape and 2D validation , 2016 .

[21]  Maria Cristina Valigi,et al.  Wear resistance of blades in planetary concrete mixers. Part II: 3D validation of a new mixing blade design and efficiency evaluation , 2016 .

[22]  Hongli Liu,et al.  Recognition and Calibration of Rail Profile Under Affine-Distortion-Based Point Set Mapping , 2017, IEEE Transactions on Instrumentation and Measurement.

[23]  J. Geringer,et al.  The linear penetration rate is not relevant for evaluating wear of dual mobility cups: an explant study , 2017, International Orthopaedics.

[24]  Maria Cristina Valigi,et al.  A New Automated 2 DOFs 3D Desktop Optical Scanner , 2017 .

[25]  Yanbin Du,et al.  An integrated approach of reverse engineering aided remanufacturing process for worn components , 2017 .

[26]  M. C. Valigi,et al.  New Challenges in Tribology: Wear Assessment Using 3D Optical Scanners , 2017, Materials.

[27]  Maria Cristina Valigi,et al.  A Robotic 3D Vision System for Automatic Cranial Prostheses Inspection , 2017, RAAD.

[28]  M. C. Valigi,et al.  Wear Distribution Detection of Knee Joint Prostheses by Means of 3D Optical Scanners , 2017, Materials.

[29]  Dariusz Bartkowski,et al.  Wear resistance in the soil of Stellite-6/WC coatings produced using laser cladding method , 2017 .

[30]  M. C. Valigi,et al.  Advances in Optomechatronics: An Automated Tilt-Rotational 3D Scanner for High-Quality Reconstructions , 2018, Photonics.

[31]  M. C. Valigi,et al.  Do Exostoses Correlate with Contact Disfunctions? A Case Study of a Maxillary Exostosis , 2019, Lubricants.