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Variation of tensile properties of high silicon ductile iron
Chalmers University of Technology, Sweden.
Chalmers University of Technology, Sweden.
RISE - Research Institutes of Sweden, Swerea, Swerea SWECAST.
Volvo Powertrain, Sweden.
Show others and affiliations
2018 (English)In: Mater. Sci. Forum, 2018, p. 280-287Conference paper, Published paper (Refereed)
Abstract [en]

The casting processes are characterized by complex relationships between predictors and responses. It is the fundamental understanding of these complex relationships that often involves hundreds of factors, which improves quality without losing productivity and raising cost. In this work, cast solid solution strengthened ferritic spheroidal graphite irons GJS-500-14 and GJS-600-10 (EN 1563:2012) have been evaluated. These materials offer stronger components with good machinability owing to their even hardness properties. In this case the predictors are chemical composition, gating layout, foundry set-up, testing procedure and equipment etc. and the responses are the tensile properties (Rp0.2, Rm, A5). Here 200 tensile specimens compiled from industrial foundry melts from over 30 years of research have created a state-of-the-art platform for statistical engineering in order to perform Exploratory Data Analysis (EDA) and data visualization. This statistical platform has provided new insight on how foundries should treat complex relationships between predictors and responses in order to identify sources of variation and interaction effects.

Place, publisher, year, edition, pages
2018. p. 280-287
Keywords [en]
Ductile iron, Gating system, High silicon, Solution hardening, Tensile properties, Chemical equipment, Data visualization, Ductility, Foundries, Gating and feeding, Industrial research, Nodular iron, Silicon, Tensile testing, Chemical compositions, Complex relationships, Exploratory data analysis, Sources of variation, Spheroidal graphite, Statistical engineering, Cast iron
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-34546DOI: 10.4028/www.scientific.net/MSF.925.280Scopus ID: 2-s2.0-85050028493ISBN: 9783035710557 OAI: oai:DiVA.org:ri-34546DiVA, id: diva2:1237643
Conference
4 September 2017 through 7 September 2017
Available from: 2018-08-09 Created: 2018-08-09 Last updated: 2018-08-09

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