What is it about?

In this paper, an empirical model is applied to predict the hardness, yield strength, and tensile strength of rapid solidified ribbons. The discovered empirical equation is obtained depends upon the experimental results of rapid solidification process for 5083 Al-alloys. The empirical equations predict values and describe the behavior of ribbon with consideration of ribbon thickness, grain size, hardness, yield strength, and tensile strength. The experimental work involves difference operation conditions and the results indicate that orifice diameter, nozzle roll wheel gap, and melting temperature have direct impact on the quality of alloy. Additionally, the results showed that there is a good agreement between experimental and predicted values where the correlation coefficient is 0.99. The experimental show that there is a possibility to produce very thin ribbons with thickness in micrometer by reducing the distance between nozzle and roll wheel, and reduce the orifice diameter of casting. The hardness, and yield strength increased due to increasing the number of small grain size in the ribbons structure and rapidly heat transfer of the small ribbons thickness. Moreover, the optimal melting temperature of this alloy is 925ºC which produces high ribbon hardness compared with other melting temperature that used in this research.

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Why is it important?

The empirical model proposed in this study is a useful prediction tool help to analysis the relationship between rapid solidification parameters (orifice diameter, nozzle-roll wheel gap, and melting temperature) and the thickness, hardness, and tensile strength of rapid solidified ribbons. It was applied without any materials, energy, and laborious time consuming, and without machining trials. The discovered empirical equations were feasible to make the prediction of mechanical properties. The constants and coefficients of these equations were calculated by multiple regression method using data-fit software.

Perspectives

The main advantages of data fit curve model is that it is easy to use and simple program which can be used as an aid for data visualization where no data are available and summarize the relationship among two or more variables. It is the process of constructing a curve or mathematical function that has the best fit to a series of data points; it is involved when ab exact fit to the data is required.

Prof. Dr Eng. Ali Sabea Hammood
University of Kufa -Faculty of Engineering -Materials Engineering Department

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This page is a summary of: Prediction of Hardness, Yield Strength and Tensile Strength for Single Roll Melt Spinning of 5083 Al-alloy Ribbons, Journal of Material Science & Engineering, January 2016, OMICS Publishing Group,
DOI: 10.4172/2169-0022.1000315.
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