New Computer Method Thermal Express-Analysis of the Quality of Liquid Iron with the Prediction of the Microstructure and Properties of Castings at Room Temperatures
Processy litʹâ, 2019, Tom 135, №3, p.46-58
Keywords:
computerized method of thermal express-analysis of the quality of liquid iron, the prediction of the properties and microstructure of castings at room temperature, reference cooling curves (RKO), immersion steel thin-walled cups-sampleAbstract
Received 14.03.2019
UDK 621.745.5.06/07:536.5
The results of the development and verification of a new computer-based method of thermal express-analysis of the quality of liquid iron for the prediction of the microstructure and properties of castings at room temperature using reference cooling curves for which the properties of interest are determined in advance are presented. The method has been successfully tested in laboratory and experimental conditions on gray and white cast irons smelted in high-frequency and mid-frequency induction furnaces. The new method uses environmentally friendly steel thin-walled immersion cups samplers with heat-resistant coating inside and outside instead of environmentally harmful and less efficient sand-resin cups. The basic features of the new method are: universality; selfadaptability; rapidity; relative simplicity; high sensitivity to metallurgical prehistory of cast iron melts. The actual data obtained by the new express thermal analysis method are used to monitor on-line and analyze the quality of the melt using a set of microstructure indicators at room temperatures. If the microstructure meets the requirements of the relevant standards and / or the agreed terms of the supply contract, then the command is given to fill the molds. If the microstructure of the cast iron is unsatisfactory, the filling of the casting molds is immediately terminated in order to carry out corrective processing of the melt in a smelting furnace or ladle. Corrective processing is implemented in the form of a technological operation of modification or modification together with inoculation. The method of corrective treatment is determined by the type of the actual microstructure obtained by the express method TDA. The decision is made by the technologist or master of the casting site independently at his own responsibility based on past experience or using an automated computer advisor.
References
Rudolf Sillen. Introduction in Thermal Analysis of Metals. 2002.01.04. Nova Cast Technologies AB (Sweden). E-mail: info@novacast.se [in Russian].
Li Y., Hu X., Xu X. (2001) Pattern Recognition on Thermal Analysis. Journal of Materials Science & Technology, Vol. 17(1), pp. 73–74 [in Russian].
Wang, Q., Li, Y. X., Li, X . C. (2003) Grain Refinement of Al-7Si Alloys and the Efficiency. Assessment by Recognition of Cooling Curves. Metallurgical and Materials Transactions A, Vol. 34A, pp. 1175–1182 [in English].
Li, Y., Wang, Q. (2005) Intelligent evaluation of melt iron quality by pattern recognition of thermal analysis cooling curves. Journal of Materials Processing Technology, Vol. 161, pp. 430–434 [in English].
Chen, X., Geng, H., Li, Y. (2005) Assement of modification Level of hypoeutectic Al–Si alloys by pattern recognition of cooling curves. China Foundry, vol. 2, No. 4, pp. 246–253 [in English].
Chen, X., Geng, H., Li, Y. (2006) Study on the eutectic modification Level of Al–7Si by computer aided recognition of thermal analysis cooling curves. Materials Science and Engineering, A419, pp. 283–289 [in English].
Sun, X., Li, Y., Chen, X. (2008) Identification and evaluation Level for compacted graphite cast iron. Journal of Materials Processing Technology, vol. 200, pp. 471–480 [in English].
Zakharchenko, E. V., Zhukov, L. А, Sirenko, E. A., Bogdan, A. V., Goncharov, A. L., Kravchenko, E. V.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2019 Е. В. Захарченко, А. А. Бурбелко*, О. А. Сіренко, А. Л. Гончаров, А. В. Богдан, М. Кавалець*
This work is licensed under a Creative Commons Attribution 4.0 International License.
