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Purpose: The goal of the research presented in this paper is to gain a deeper understanding of dynamic solidification processes of metals and alloys through application of improved baseline and fraction solid methodologies to hypoeutectic aluminum-silicon alloys with varying concentrations of silicon and copper. Design/methodology/approach: The paper makes use of numerical models developed at the University of Windsor, including Newtonian Computer-Aided Cooling Curve Analysis and the Silicon Equivalency algorithm. Co-developed thermal analysis platforms are also used, including the Universal Metallurgical Simulator and Analyzer (UMSA) and the Aluminum Thermal Analysis Platform (AlTAP). Findings: This paper identifies key temperature and fraction solid values for hypoeutectic AlSiCu alloys across a wide range of chemistries. The paper also provides correlations whereby temperature/fraction solid values for metallurgical reactions can be predicted on the basis of chemistry. Research limitations/implications: Future work for the project will expand upon the relationships between important metallurgical events and alloy chemistries and derive general trends to enhance predictive capabilities. Practical implications: The data and techniques used in this paper may be used in order to improve simulations of casting processes. The relationships between solidification events and alloy chemistries will aid in the design and optimization of casting alloys and components. Originality/value: This paper would be of value to members of the engineering community who need precise information about fraction solid for use in designing alloys or optimizing technology and simulations of casting processes.
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