Wyniki wyszukiwania - BazTech

Ograniczanie wyników

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Sortuj według:

Ogranicz wyniki do:

Fraction solid evolution characteristics of AlSiCu alloys - dynamic baseline approach

Marchwica P., Sokolowski J. H., Kierkus W. T.

Journal of Achievements in Materials and Manufacturing Engineering

2011

Vol. 47, nr 2

115--136

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.

Zastosowanie sieci neuronowych do modelowania temperatury solidus podeutektycznych stopów Al-Si-Cu

Dobrzański L. A., Maniara R., Sokolowski J. H., Kierkus W. T.

Archiwum Odlewnictwa

2006

R. 6, nr 22

606-613

W pracy zaprezentowano metodę obliczania temperatury solidus dla podeutektycznych stopów Al-Si-Cu chłodzonych z różnymi szybkościami chłodzenia za pomocą sieci neuronowych. Dla sprawdzenia poprawności modelu wyznaczającego temperaturę solidus w funkcji składu chemicznego i prędkości chłodzenia wykonano eksperyment laboratoryjny. Wyniki przeprowadzonego eksperymentu laboratoryjnego potwierdzają poprawności opracowanego modelu.

This article presents the application of neural networks for prediction of the solidus temperature of various hypoeutectic Al-Si-Cu casting alloys cooled with different cooling rate. Knowledge of solidus temperature allows the prediction of a variety of metallurgical characteristics i.e. melt treatment, casting temperature. The paper presents computational algorithm calculation of solidus temperature and influence of alloying elements on solidus temperature. The accuracy of the calculated solidus temperature was comprised with the values measured by the thermalanalysis.