An Approach Based on the Exploratory Data Analysis to Relate the Wear Behavior with the Microstructure of Ductile Cast Irons. (19th January 2016)

• Record Type: Journal Article
• Authors: Basurto-Hurtado, Jesus A.; Morales-Hernández, L. A.; Osornio-Rios, Roque A.; Dominguez-Gonzalez, Aurelio
• Other Names: Majewski Peter Academic Editor.
• Is Part Of: Advances in materials science and engineering. Volume 2016(2016)
• Publication Date: 2016-01-19
• Subjects: Materials science -- Periodicals; Materials science; Periodicals; 620.11
• DOI: 10.1155/2016/2605602
• Languages: English
• ISSNs: 1687-8434

Abstract

Abstract : 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.