Forecasting the Structure and the Hindered Contraction of Casts by Using the ProCAST System of Engineering Analysis

Article Preview

Abstract:

The paper presents the methods for forecasting the structure and geometrical parameters of casts by using the ProCAST system of engineering analysis. Based on experimental studies and computer simulation, a regularity between the supercooling rate of aluminium alloy on the one hand and the nucleation rates and crystal growth rates on the other has been established. There have also been established dependencies describing the change in the plasticity modulus, the coefficient of thermal linear expansion, Poisson's coefficient within the temperature range of 20 to 1000°C for cores made from α-set mixture. The computer simulation based on the experimental data of the processing of silumin casts made it possible to forecast the alloy structure with the probability level of 95%, and to calculate the accuracy of hindered contraction of the alloy with accuracy equal to ± 1.5%.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

661-667

Citation:

Online since:

February 2019

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2019 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] M.V. Davydova, A.M. Mikhalev, Automated design systems (CAD) and product lifecycle support systems (SAP) in the specialized research laboratory CALS technology in engineering,, Bulletin of the Kurgan State University. Series: Engineering. 13 (2008).

Google Scholar

[2] V.V. Shishkin, V.M. Kandaulov, The system of automated design of complex machine-building products on the basis of design patterns, Automation of management processes. 3 (2011).

Google Scholar

[3] A.V. Rybakov, S.A. Evdokimov, A.A. Krasnov, A.V. Rybakov, S.A. Evdokimov, A.A. Krasnov, Creation of systems of automated support of information solutions for the design of technological equipment: Monograph, Izd-vo STANKIN Publishing house, Moscow, (2013).

DOI: 10.21685/2072-3059-2016-4-14

Google Scholar

[4] A.O. Sazonova, A.A. Drozdov, Classification and location of CAM systems in automated design systems, Master's J. 2 (2014).

Google Scholar

[5] G.B. Egenev, Ontological methodology of building intellectual systems in machine-building, News of higher educational institutions. Mechanical engineering. 6 (2014).

Google Scholar

[6] Y.S. Lee, S.U. Lee, C.J. Van Tyne, B.D. Joo, Y.H. Moon, Internal void closure during the forging of large cast ingots using a simulation approach, J. Mater. Process. Technol. 211(6) (2011) 1136-1145.

DOI: 10.1016/j.jmatprotec.2011.01.017

Google Scholar

[7] Y.Z. Liu, G.M. Cui, J.M. Zeng, W.K. Gan, J.B. Lu, Prediction and prevention of distortion for the thin-walled aluminum investment casting, Adv. Mater. Res. 915-916 (2014) 1049-1053.

DOI: 10.4028/www.scientific.net/amr.915-916.1049

Google Scholar

[8] V.A. Pashnyov, D.Yu. Pimenov, Stress analysis of a three-layer metal composite system of bearing assemblies during grinding, Mech. Compos. Mater. 51(1) (2015) 109-128.

DOI: 10.1007/s11029-015-9478-7

Google Scholar

[9] I.N. Erdakov, V.A. Ivanov, V.A. Pashnyov, P.V. Fekolin, Davydov, R. Walter, D.Yu. Pimenov, Studies of highly filled composite based on two-component organic binder stress state in thermal stress, Procedia Manuf. 22 (2018) 325–330.

DOI: 10.1016/j.promfg.2018.03.049

Google Scholar

[10] A.D. Abdullin, New capabilities of software package ProCAST 2011 for modeling foundry operations, Metallurgist. 56 (2012) 323–328.

DOI: 10.1007/s11015-012-9578-8

Google Scholar

[11] Yang, Z., Han, J., Cui, S., Kang, S.-B., Lee, J.-M. Solidification simulation of a SiCp/Al disk brake casting, J. of Ceramic Processing Research. 7 (2006) 363-366.

Google Scholar

[12] J. Zhang, Z.-J. He, K.-R. Zhang, C.-M. Hu, F.-J. Zhang, L. Xi, Technique and numerical simulation of investment casting for TiB2/A356 diversion impeller, Zhuzao/Foundry. 64 (2015) 636-638.

Google Scholar

[13] D. Broek ,The Practical Use of Fracture Mechanics, Kluwer Academic.

Google Scholar

[14] A.N. Boldin, N.I. Davydov, S.S. Zhukovsky et al., Foundry molding materials. Forming, rod mixtures and coatings, Mechanical Engineering, Moscow, (2006).

Google Scholar

[15] Materials strength with the fundamentals of the theory of elasticity and plasticity, G.S. Vardanian (Eds.), ASV Publishing House, Moscow, (1995).

Google Scholar

[16] K.I. Emelyanov, V.M. Golod, Prediction of microstructural heterogeneity based on the coalescence model of dendritic branches, Proceed. of the best scientific-practical paper. Conf, Polytechnic University's Publishing house, Saint-Petersburg, (2014).

Google Scholar

[17] I.N. Erdakov, R.F. Certificate of state registration of the computer program №2014610197. (2014).

Google Scholar