Title: Computer assisted classification of internal damages in the 10CrMo9-10 steel working in creep service
Authors: Janusz Dobrzanski, Marek Sroka
Addresses: Institute for Ferrous Metallurgy, K. Miarki Street 12/14, Gliwice 44-100, Poland. ' Institute of Engineering Materials and Biomaterials, Silesian University of Technology, Konarskiego Street 18a, Gliwice 44-100, Poland
Abstract: This paper presents the computer assisted method for analysis of scanning electron microscope metallographic images of elements after long time operating in creep conditions. The durability of the structural elements of the power installations may be estimated with the limited certainty only. The presented method based on analysis of images, shape coefficients and neural networks was proposed as a tool to evaluate the internal damage classes of power industry installation elements from 10CrMo9-10 steel. [Received 20 November 2006; Accepted 12 May 2007]
Keywords: image analysis; neural networks; steel; long-term creep service; classification; internal damage; scanning electron microscopy; SEM; metallographic images; shape coefficients; power industry; installation elements.
International Journal of Computational Materials Science and Surface Engineering, 2007 Vol.1 No.6, pp.706 - 716
Published online: 23 Apr 2008 *Full-text access for editors Access for subscribers Purchase this article Comment on this article