Modelling the Variation of Tensile Properties of High-Silicon Ductile Iron

Artikel i vetenskaplig tidskrift, 2018

For an optimized gating system, the influence of chemical composition can be controlled to a greater extent than in non-optimized conditions, where hidden mechanisms prevail. In this work, GJS-600-10 (EN 1563:2012) solid-solution-strengthened ferritic spheroidal graphite iron with advantageous machinability due to uniform hardness, has been used to elucidate interaction effects and create a material regression model to predict the tensile properties. In this case, key predictors are related to the tensile properties (Rp0,2, Rm, A), of over 120 industrial tensile specimens from 10 years of research. A partial least square (PLS) regression reveals that elements in the steel scrap strongly affect elongation, yield strength and ultimate tensile strength. The analysis reveals that strength to a great extent can be predicted by the chemical composition whereas ductility also depends on other factors.