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Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/36735

Title: A profile measurement system for rail quality assessment during manufacturing
Author(s): Molleda Meré, Julio
Usamentiaga Fernández, Rubén
Fernández Millara, Álvaro
García Martínez, Daniel Fernando
Manso Bernal, Pedro
Suárez Álvarez, Carlos Manuel
García, Ignacio
Keywords: Industrial inspection
Camera calibration
Machine vision
Profile measurement
Rage imaging
Issue date: 2016
Publisher: IEEE
Publisher version: http://dx.doi.org/10.1109/TIA.2016.2524459
Citation: IEEE Transactions on Industry Applications (2016); doi:10.1109/TIA.2016.2524459
Abstract: Steel rails used in the transport sector and in industry are designed and manufactured to support high stress levels generated by high-speed and heavy-loaded modern trains. In the rail manufacturing process, one of the key stages is rolling, where fast, accurate and repeatable rail profile measurement is a major challenge. In this paper, a rail profile measurement system for rail rolling mills based on four conventional, inexpensive laser range finders is proposed. The range finders are calibrated using a common reference to properly express the point clouds generated by each range finder in the world coordinate system. The alignment of the point clouds to the rail model is performed by means of an efficient and robust registration method. Experiments carried out in a rail rolling mill demonstrate the accuracy and repeatability of the system; the maximum error is below 0.12%. All parallelizable tasks were designed and developed to be executed concurrently, achieving an acquisition rate of up to 210 fps
URI: http://hdl.handle.net/10651/36735
ISSN: 0093-9994
Sponsored: This work was partially funded by the projects TIN2011- 24903 and TIN2014-56047-P of the Spanish National Plan for Research, Development and Innovation, and by the project FUO-EM-269-13
Project id.: TIN2011-24903
Appears in Collections:Artículos
Ingeniería Eléctrica, Electrónica, de Computadores y Sistemas
Investigaciones y Documentos OpenAIRE

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