National University of Science and Technology “MISiS”, Moscow, Russia:

V. B. Deev, Chief Researcher of Engineering Center “Casting Technologies and Materials”, Professor of a Chair of Casting Technologies and Art Material Treatment, e-mail: deev.vb@mail.ru
S. S. Mishurov, Head of Department of Engineering Center “Casting Technologies and Materials”

Siberian State Industrial University, Novokuznetsk, Russia:

A. I. Kutsenko, Assistant Professor, Head of Scientific Research Department

K. V. Ponomareva, Senior Lecturer of a Chair of Material Science, Casting and Welding Engineering

Nowadays, lost foam casting is a prospective and efficient method of obtaining a high-quality thin-section castings, having different purpose. However this method is caharcterized by various factors of production process, defining the inevitable optimization of technological casting conditions. Various factors of the process lead to its more difficult control and accounting of undesirable changes in production parameters. As a result, this may lead to increased level of casting defects. Using the binary logistic regression method, there were defined the types of efficient technological modes (parameters of smelting and melt casting in mold, the part of secondary materials in charge composition), providing the absence of casting defects during realization of resource-saving technologies and obtaining a qualitative castings of gas analyzer shell covers (made of AK7 alloy) by lost foam casting method in real production conditions of Scientific and Industrial Enterprise “Vektor Mashinostroeniya”. A great attention is paid to the temperature overheatings and melt holding during melting, which alloys to correct the percent content of secondary raw materials in varying degree during the obtaining a thinsection castings. The choice of one or another type of technological melting and casting mode and content of secondary materials in charge is substantiated by the market price for the charge materials and electric energy, providing the minimal cost price of acceptable casting. Application of binary logistic regression is reasonable mostly for the castings, characterized by qualitative but not quantitative indicators of production process. At the same time, there is no difference in the number of researched and calculated qualitative indicators, which is very important for real technological processes of production in industrial casting technologies.
This work was carried out within the Agreement No. 14.578.21.0039 (unique identifier of the project is RFMEFI57814X0039) about the subsidization of the Ministry of Education and Science of Russian Federation.

1. Shulyak V. S. Lite po gazifitsiruemym modelyam (Lost foam casting). Saint Petersburg : Scientific-Production Association “Professional”, 2007. 408 p.
2. Rybakov S. A. Innovatsionnye vozmozhnosti litya po gazifitsiruemym modelyam, sostoyanie i perspektivy etogo metoda v Rossii (Innovation possibilities of lost foam casting, state and prospects of this method in Russia). Liteyshchik Rossii = Russian foundry worker. 2009. No. 4. pp. 44–45.
3. Deev V. B. Razvitie nauchnykh osnov teplovykh i elektromagnitnykh vozdeystviy na rasplavy i razrabotka resursosberegayushchikh tekhnologiy polucheniya vysokokachestvennykh otlivok iz alyuminievykh splavov: avtoreferat dissertatsii ... doktora tekhnicheskikh nauk (Development of scientific basis of heat and electromagnetic impacts on melts and development of resource-saving technologies of obtaining a high-quality castings from aluminium alloys: thesis of Inauguration of Dissertation … of Doctor of Engineering Sciences). Komsomolsk-on-Amur : Komsomolsk-on-Amur State Technical University, 2012. 35 p.
4. Ri E. Kh., Ri Khosen, Khimukhin S. N. et al. Vliyanie temperatury peregreva na svoystva otlivok iz silumina (Influence of overheat temperature on silumin casting properties). Liteynoe proizvodstvo = Foundry. Technologies and Equipment. 2011. No. 7. pp. 10–12.
5. Deev V. B., Selyanin I. F., Mochalov S. P., Shakirov K. M., Prikhodko O. G. Ob ispolzovanii fizicheskikh metodov vozdeystviy pri lite alyuminievykh splavov (About the use of physical methods of impacts during aluminium alloy casting). Liteynoe proizvodstvo = Foundry. Technologies and Equipment. 2012. No. 5. pp. 16–18.
6. Deev V. B., Selyanin I. F., Kolchurina I. Yu. et al. Issledovanie tekhnologicheskikh parametrov i raschet kolichestva tverdoy fazy pri kristallizatsii liteynykh alyuminievykh splavov (Research of technological parameters and calculation of solid phase quantity during the crystallization of casting aluminium alloys). Liteyshchik Rossii = Russian foundry worker. 2007. No. 8. pp. 18–23.
7. Ri Khosen, Ri E. Kh., Khimukhin S. N., Kalugin M. E., Kryuchkov I. V. Termicheskaya i termoskorostnaya obrabotka alyuminievykh splavov (Heat and heat-rate processing of aluminium alloys). Liteyshchik Rossii = Russian foundry worker. 2010. No. 8. pp. 12–14.
8. Kumar A., Ghosh S., Dhindaw B. K. Simulation of cooling of double-layered splat and its experimental validation using Jackson-Hunt theory. Metallurgical and Materials Transactions B. 2011. Vol. 42, No. 2. pp. 269–273.
9. Sahoo S., Kumar A., Dhindaw B. K., Ghosh S. High speed Twin Roll Casting of Aluminum-Copper Strips Having Layered Structure. Materials and Manufacturing Processes. 2012. Vol. 28, Iss. 1. pp. 61–65.
10. Sahoo S., Kumar A., Dhindaw B. K., Ghosh S. Modeling and Experimental Validation of Rapid Cooling and Solidification during High-Speed Twin-Roll Strip Casting of Al–33 Cu. Metallurgical and Materials Transactions B. 2012. Vol. 43, No. 4. pp. 915–924.
11. Barekar N., Hari Babu N., Dhindaw B. K., Fan Z. Effect of Intensive Shearing on the Morphology of Primary Silicon and Properties of Hypereutectic Al – Si alloy. Materials Science and Technology. 2010. Vol. 26, Iss. 8. pp. 975–980.
12. Bure V. M., Parilina E. M. Teoriya veroyatnostey i matematicheskaya statistika. Uchebnik (Probaility theory and mathematical statistics. Tutorial). Saint Petersburg : “Lan” Publishing House, 2013. 416 р.
13. SPSS (SPSS): iskusstvo obrabotki informatsii (SPSS: information processing art). Under the editorship of A. Buhl and P. Zofel. Moscow, Saint Petersburg, Kiev : DiaSoft, 2005. 602 p.
14. Kireev V. I., Panteleev A. V. Chislennye metody v primerakh i zadachakh (Numerical methods in examples and tasks). Third edition. Moscow : Vysshaya shkola, 2008. 480 p.