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Development of an advanced aluminum thermal analysis system for the characterization of the 319 aluminum alloy solidification process.

Todd J. Stockwell-2005-01-01-Scholarship at UWindsor (University of Windsor)

TL;DRAbstract

Thermal analysis is the study of heat evolution as a molten alloy transforms to a solid. Studying the evolution of heat results in a temperature, time relationship in the form of a cooling curve. Specific characteristics of the 319-aluminum cooling curve are described and related to specific metallurgical properties. Variations in the cooling curves represent changes within the solidification of the alloy and are correlated to changes in the metallurgical properties. In the present work, an aluminum thermal analysis system (AITAS) is constructed to withstand the rigors of day to day foundry conditions. Complete automation has been introduced to reduce the number of variables introduced by the operator to the system. This includes automatic analysis and storage of the results in a database, which allows for later statistical evaluation. Methods of noise filtering and automatic temperature detection have all been improved over previous systems in order to reduce measurement error. Experi

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Thermal analysis is the study of heat evolution as a molten alloy transforms to a solid. Studying the evolution of heat results in a temperature, time relationship in the form of a cooling curve. Specific characteristics of the 319-aluminum cooling curve are described and related to specific metallurgical properties. Variations in the cooling curves represent changes within the solidification of the alloy and are correlated to changes in the metallurgical properties. In the present work, an aluminum thermal analysis system (AITAS) is constructed to withstand the rigors of day to day foundry conditions. Complete automation has been introduced to reduce the number of variables introduced by the operator to the system. This includes automatic analysis and storage of the results in a database, which allows for later statistical evaluation. Methods of noise filtering and automatic temperature detection have all been improved over previous systems in order to reduce measurement error. Experi

Keywords

AluminiumAlloyMetallurgyCharacterization (materials science)Materials scienceProcess (computing)Thermal analysisThermal

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