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    Quality control on radiant heaters manufacture

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    Quality control.pdf (1.156Mb)
    Identificadores
    URI: http://hdl.handle.net/10902/2357
    DOI: 10.1117/12.665490
    ISSN: 1996-756X
    ISSN: 0277-786X
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    Autoría
    González Fernández, Daniel Aquilino; Madruga Saavedra, Francisco JavierAutoridad Unican; Ibarra Castanedo, Clemente; Conde Portilla, Olga MaríaAutoridad Unican; López Higuera, José MiguelAutoridad Unican
    Fecha
    2006-04-18
    Derechos
    © 2006 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
    Publicado en
    Proceedings of SPIE, 2006, vol. 6205, 62051O
    Thermosense XXVIII, Orlando (FL), 2006
    Editorial
    SPIE Society of Photo-Optical Instrumentation Engineers
    Enlace a la publicación
    http://dx.doi.org/10.1117/12.665490
    Palabras clave
    Infrared thermography
    Image processing
    Radon transform
    Defect detection
    Radiant heaters
    Quality control
    Resumen/Abstract
    An inspection process of radiant heaters is presented in this paper. The proposed non destructive testing and evaluation (NDT and E) technique for defect assessment of radiant heaters is based on infrared thermography images properly acquired and processed. The technique can be used in on-line fabrication quality control radiant heaters manufacturing processes. By exciting the heater with a very short electrical pulse, a sequence of thermographic images is captured by an infrared camera and then analyzed. Regardless of the electrical excitation applied to the heating element of the heater, the electrical power supplied will dissipate at the resistor. Provided enough spatial resolution, the heaters could be tested with an infrared camera capturing the radiated heat. The analysis of the heating wire during the heating flank shows differences among pixels corresponding to defective points and pixels belonging to non-defective areas of the wire. The automation is provided by the development of an algorithm that looks for the slope of the heating evolution of each pixel. A Radon Transform based algorithm is here proposed to reduce human intervention providing just one image where an operator could quickly locate possible defects.
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    UNIVERSIDAD DE CANTABRIA

    Repositorio realizado por la Biblioteca Universitaria utilizando DSpace software
    Contacto | Sugerencias
    Metadatos sujetos a:licencia de Creative Commons Reconocimiento 4.0 España