Abstract

The paper concerns the mechanical properties of hypoeutectic Al-Si alloy (silumin) with the addition of Cr, Mo, V and W. Changes in microstructure under the impact of these elements result in a change in the mechanical properties. Crystallization of Al-Si alloys determines grain size reduction, which causes a significant increase in their strength properties. Crystallization subjected to modifications through the influence of alloying additives can be described by the cooling curve run. Statistical relationships between the characteristic values of cooling curves and mechanical properties are investigated with data mining techniques of regression, especially regression trees. Such knowledge could provide an ability of a property prediction on the basis of cooling curves in terms of the benefits of a short time of the curve registration.

Highlights

  • Al-Si alloys are commonly used in the foundry of aluminum–silicon alloys, which may contain alloying additives

  • The preliminary tests carried out confirmed the possibility of obtaining higher-strength properties of Al-Si alloys predestined to pressure die casting as a result of the discussed high-melting element additives (Ref 18-21)

  • In order to determine the relationship between characteristic points of cooling curves and mechanical properties, data mining techniques were used

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Summary

Introduction

Al-Si alloys are commonly used in the foundry of aluminum–silicon alloys, which may contain alloying additives. The danger of the intermetallic phase separation in Al-Si alloys containing Cr, Mo, V and W increases with decreasing the thermal conductivity from the casting (Ref 17) These additives are not suitable for use in Al-Si alloys cast into sand and ceramic molds. The high rate of heat transfer coefficient from the casting to the pressure mold gives the possibility of supersaturation of a phase with these additives This should lead to improvement of its strength properties. The preliminary tests carried out confirmed the possibility of obtaining higher-strength properties of Al-Si alloys predestined to pressure die casting as a result of the discussed high-melting element additives (Ref 18-21). In order to determine the relationship between characteristic points of cooling curves and mechanical properties, data mining techniques were used

Experimental Methodology
Cooling Curve Analysis
The Microstructure of EN AC-46000 Alloy
Mining for the Best Cooling Curves–Properties Relationship Model
Regression Trees for Properties Prediction
Findings
Conclusions and Final Remarks
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