Control Systems and Computers

DOI: https://doi.org/10.15407/usim.2018.04.084

Upr. sist. maš., 2018, Issue 4 (276), pp. 84-95.

UDC 004.9; 621.74

Tokova Olena V., junior research scientist, Department for Technologies of Inductive Modelling, International Research and Training Center for Information Technologies and Systems of the NAS and MES of Ukraine, Glushkov ave., 40, Kyiv, 03187, Ukraine, E-mail: len327@ukr.net

The Task of the Computer Technology Construction for Thermal Processes Modeling of
Foundry Production

Introduction. An analysis of modern software for computer simulation of processes in the field of metal molding and the methods which are the basis of software products is executed. The results of the analysis are planned to be used when creating the computer technology of simulation of the thermal processes in the field of the foundry, which will be oriented on Ukrainian industries, simplify the process of obtaining the casting, resulting in an increase in the volume of production, reduce the appearance of defects in casting products during the technological process to make them more competitive.

Having made an overview of the processes and methods of casting and stopping attention to the detailed consideration of the method of casting in the sandy form, we can draw the following conclusions.

      Results. The advantages of the molding method in sand forms are: the possibility of manufacturing castings of high weight; manufacturing of castings of complex forms; ability to automate production; castings are made from cast alloys, besides refractory that allows using scrap in remelting; the cheap cost of receiving castings.

      The disadvantages include the following: the roughness of the surface which requires further treatment of castings and leads to a large amount of waste; the probability of occurrence of defects is greater than in other methods of casting; bad sanitary conditions of production.

      Although sand casting technology has certain disadvantages, it still remains one of the most used casting technologies in the world due to the possibility of creating any shape of various sizes at a low price. Therefore the importance of creating a computer technology that will take into account all the comments and help is obvious.

     The problem of the permanent creation of a form for pouring can be solved by constructing a modelling technology of forms with parameters that will allow you to get the most accurate form for casting which will not be able to minimize the time and forces for the finished product.

     Conclusion.  Solving the problem of using a press form only once is possible by creating technology of modelling with the parameters that will allow you to get the most accurate form for the casting. This minimizes the time and effort for processing the finished product.

Download full text! (In Ukrainian).

  Keywords: foundry, molding, casting, information technology, computer simulation, modeling.

1. Characteristics of production systems. A typical organization of the governing bodies is ahead. [online] Available at: <https://idruchniki.com/11141122/menedzhment/characteristics_virobnichih_
   sistem_vpliv_tipu_virobnitstva_organizatsiynu_strukturu_upravlinnya> [Accessed 16 Oct. 2018]. (In Ukranian).
2. Electronic Directory: Thermal Analysis. [online] Available at: http://www.chemport.ru/thermalanalysis.shtml> [Accessed 16 Oct. 2018]. (In Russian).
3. Diagrams of the state of double alloys. [online] Available at: https://helpiks.org/2-107087.html> [Accessed 16 Oct. 2018]. (In Ukranian).
4. Benjunior, Ahmad A.H., Rashidi Maarof Mohd, Reza M.S., 2017. “Effect of Different Cooling Rates Condition on Thermal Profile and Microstructure of Aluminium 6061”. Procedia Engineering. Vol. 184, pp. 298-305.
   https://doi.org/10.1016/j.proeng.2017.04.098
5. On the new concept of small-scale foundry [online] Available at: https://studbooks.net/1855982/tovarovedenie/
   novoy_kontseptsii_melkoseriynogo_liteynogo_proizvodstva> [Accessed 16 Oct. 2018].
6. Doroshenko, V.S., 2018. Theoretical and technological bases for obtaining sandy forms from a dry dispersed filler for the production of lightweight cast structures, diss. Dr. Tech. Sciences: 05.16.04. Kyiv, 404 p. (In Ukranian).
7. Doroshenko, V.S., Kravchenko, V.P., 2010. “Laboratory studies of heat transfer casting with sand casting in the application of refrigerant and forced convection”. Modern Laboratory, 1, pp. 18-24. (In Russian).
8. Doroshenko, V.S., Shinsky, O.I., Kravchenko, V.P., 2009. “Intensification of casting heat exchange with a dispersed filler of a mold when using a refrigerant and forced convection”. Casting processes, 5, pp. 74-82. (In Russian).
9. Sushko, T.I., Hoang, V.Kh., Popov, S.V., Pashneva, T.V., 2017. “Computer simulation as an aspect of resource-saving technologies when choosing the optimal method of casting”. Scientific Almanac, 5-3 (31), 125-129.
10. Kravchenko, O.V., Savchenko, E.A., 2015. “Information technology of inductive modeling of casting process monitoring”. Inductive modeling of complex systems. Collected research papers, Issue 7, Kyiv: IRTC ITS NASU, pp. 140-146. (In Ukranian).
11. Tokova, O.V., Savchenko, Ye.A., 2016. “Approach to the development of information support solutions for foundry production”. Inductive modeling of complex systems. Collected research papers, Issue 8, Kyiv: IRTC ITS NASU, pp. 194-202. (In Ukranian).
12. Tokova, O.V., 2017. “An overview of methods and tools for computer simulation of foundry processes ”. Inductive modeling of complex systems. Collected research papers, Issue 9, Kyiv: IRTC ITS NASU, pp. 204-213. (In Ukranian).
13. Andreev, V.I., Dichta, L.M., Klimenko, L.P., 2015. “Mathematical modeling of solidification and cooling processes of cavity cylindrical casting at centrifugal casting in massive furnace”. Computer Technology. Scientific works, 35 (22), pp. 59-69. (In Ukranian).
14. Dolgopolov, L.B., Tukhvatulin, I.Kh., 2015. “The use of neural network data processing in the foundry”. Foundry processes, 14, pp. 99-105.
15. Savchenko, Ye.A., Kravchenko, O.V., 2014. “Application of the inductive approach for simulation of the cooling process of casting according to experimental data”. Inductive modeling of complex systems. Collected research papers, Issue 6. Kyiv: IRTC ITS NASU, pp. 126-136. (In Ukranian).
16. Stepashko, V.S, 1981. “Combinatorial Algorithm of the Group Method of Data Handling with Optimal Model Scanning Scheme”, Soviet Automatic Control, 14 (3), pp. 24-28. (In Russian).
17. Ivakhnenko,G., Savchenko, Ye.A., Ivakhnenko, G.A., Nadiradze, AB, Rogov, A.O., 2003. “Determination of Regularities of Ions and Surface Interaction by Combinatorial GMDH Algorithm”. Journal of Automation and Information Sciences, 2, pp. 80-89. (In Russian).
    https://doi.org/10.1615/JAutomatInfScien.v35.i4.10 
18. Tokova, O., Savchenko, Ye., 2017. “Inductive Modelling as a Basis of Informational Support of Decisions in Casting Production”. Proceedings of the XII IEEE International Conference CSIT-2017 & International Workshop on Inductive Modeling, Sept. 5-8, 2017, Ukraine, Lviv: Publisher “Vezha&Co”, pp. 507-510.
19. Savchenko Ye., Stepashko V., Tokova O., 2018. “A new method of comparing cooling curves to recognize the casting quality”. Proceedings of the IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies, CSIT 2018. Sept. 11-14, 2018, Ukraine, Lviv: Publisher “Vezha&Co”, pp. 457-460.
    https://doi.org/10.1109/STC-CSIT.2018.8526713
20. Zakharchenko, E.V., Zhukov, L.F., Sirenko, E.A., Bogdan, A.V., Goncharov, A.L., Kravchenko E.V., 2015. “Improvement of the universal method of thermal express analysis of liquid cast iron based on on the recognition of the shape of the cooling curves”. Protsessy lit’ya, 2 (110), pp. 3-9. (In Russian).

Received 04.12.2018