Extending the lifespan of high-speed railways by re-profiling with the rail grinding method
2025
0 views
0 downloads
Advisor: Doç. Dr. Ömür Akbayır ; Dr. Öğr. Üyesi Alper Uğur
Abstract (EN)
This study investigates the effectiveness of machine grinding on high-speed train rails. The grinding process was carried out to eliminate surface irregularities, control wear, and optimize the wheel-rail interaction. To assess the accuracy and success of the grinding process, measurements were taken using DQM, RMF, and Wilmec devices. The DQM device was used to determine the cross-sectional profile and existing wear condition of the rail, the RMF device measured the rail surface undulations, and the Wilmec device calculated the amount of metal removed during the grinding process. The measurements indicate that the machine grinding process was largely successful and that significant surface irregularities were eliminated. However, in some areas, more precise adjustments were required, and manual grinding was performed in those regions. Finally, measurements taken with the Railstraight Wave device after the grinding process confirmed that the grinding was successful and that the rail surface closely approached the ideal profile. This study demonstrates that machine grinding is an effective maintenance method for high-speed railways and, when necessary, should be supported by manual grinding.
Author
Dr. Durmuş Furkan Çömez
Institution
How to Cite
Durmuş Furkan Çömez (Master Thesis). Extending the lifespan of high-speed railways by re-profiling with the rail grinding method, 2025, Eskişehir Teknik Üniversitesi.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Eskişehir Teknik Üniversitesi
- Effect of crystallographic orientation on ionic conductivity of Li(1+x)AlxTi(2-x)(PO4)3 solid electrolytes(2018)
- The investigation of mechanical and dynamic properties of two dimensional mxene crystals by first principles(2018)
- Aircraft sensor fault detection and system reconstruction based on artificial neural networks(2021)
- Fuzzy graphs(2022)
- Production of functionally graded SiC-TiB2-Al composites by spark plasma sintering technique and their characterization(2018)
- Analysis of child mortality with the help of geographic information systems(GIS)(2018)