Advanced search
Start date
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Improvement of wear resistance in a pearlitic rail steel via quenching and partitioning processing

Full text
Masoumi, Mohammad [1] ; Ariza Echeverri, Edwan Anderson [2, 3] ; Tschiptschin, Andre Paulo [2] ; Goldenstein, Helio [2]
Total Authors: 4
[1] Univ Fed ABC, Ctr Engn Modelagem & Ciencias Sociais Aplicadas, BR-09210580 Santo Andre, SP - Brazil
[2] Univ Sao Paulo, Escola Politecn, Dept Engn Met & Mat, BR-05508030 Sao Paulo, SP - Brazil
[3] Univ Tecnol Pereira, Escuela Tecnol Mecan, Carrera 27 10-02 Alamos, Pereira, Risaralda - Colombia
Total Affiliations: 3
Document type: Journal article
Source: SCIENTIFIC REPORTS; v. 9, MAY 15 2019.
Web of Science Citations: 0

Improvement of wear resistance and mechanical performance of rails used in heavy-haul railway are essential to reduce railroad maintenance costs. A novel heat treatment based on quenching and partitioning (Q\&P) processing was proposed to improve the wear resistance of a hypereutectoid pearlitic rail. 50% of austenite was transformed into martensite under an interrupted quenching from full austenitization temperature to 140 degrees C. A multiphase microstructure resulted from the quenching and partitioning process, consisting of tempered martensite, bainite, retained austenite, and pearlite colonies. The partitioning step was performed in the range of 350-650 degrees C. Microstructure characteristics were investigated using scanning electron microscopy, microhardness measurements, X-ray and electron backscattered diffraction. Uniaxial tensile and pin-on-disc tests were also performed to evaluate the mechanical properties and wear resistance. The best combination of wear resistance and mechanical performance was obtained in samples partitioned at 450 and 550 degrees C, which may be applied in the railway industries. (AU)

FAPESP's process: 14/11793-4 - Experimental and numerical analysis of high-strength structural steels during hot stamping and quenching and partitioning processes
Grantee:Andre Paulo Tschiptschin
Support type: Regular Research Grants