Table of Contents Author Guidelines Submit a Manuscript
Advances in Materials Science and Engineering
Volume 2016, Article ID 2605602, 11 pages
Research Article

An Approach Based on the Exploratory Data Analysis to Relate the Wear Behavior with the Microstructure of Ductile Cast Irons

1Facultad de Ingeniería, Universidad Autónoma de Querétaro (UAQ), Avenida Rio Moctezuma 249, Colonia San Cayetano, 76807 San Juan del Río, QRO, Mexico
2Facultad de Ingeniería, Universidad Autónoma de Querétaro (UAQ), Cerro de las Campanas S/N, Colonia las Campanas, 76010 Santiago de Querétaro, QRO, Mexico

Received 8 September 2015; Accepted 27 December 2015

Academic Editor: Peter Majewski

Copyright © 2016 Jesus A. Basurto-Hurtado et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The aim of this work is to propose a new methodology to relate Ductile Cast Irons (DCIs) wear behavior with the separation distances and sizes of the graphite nodules through an Exploratory Data Analysis (EDA). This methodology consists of morphological image processing tools (compacity and size distribution curves), an EDA performed by the use of box plots and an EDA-based section classifying algorithm. This algorithm classifies the microstructure of DCIs into classes and levels grouping different behaviors of the separation distances and sizes of graphite nodules. Finally, it was found, through a number of tribological tests, that the obtained classes and levels have a different wear behavior. The results achieved by this methodology were compared with those of traditional techniques used to characterize the microstructure of the material.