MATEC Web Conf.
Volume 254, 2019XXIII Polish-Slovak Scientific Conference on Machine Modelling and Simulations (MMS 2018)
|Number of page(s)||7|
|Section||Modelling and Simulation, Structural Optimization|
|Published online||15 January 2019|
Numerical model of solidification process of Fe-C alloy taking into account the phenomenon of shrinkage cavity formation
Czestochowa University of Technology, Faculty of Mechanical Engineering and Computer Science, Institute of Mechanics and Machine Design Fundamentals, Dąbrowskiego 73, 42-201 Częstochowa, Poland
2 Czestochowa University of Technology, Faculty of Mechanical Engineering and Computer Science, Institute of Mathematics, Armii Krajowej 21, 42-201 Częstochowa, Poland
* Corresponding author: firstname.lastname@example.org
Mathematical and numerical models of Fe-C alloy solidification process based on the finite element method (FEM) are presented in the paper. The phenomenon of the defect called "shrinkage cavity" is introduced to the model. It is very important aspect of presented work which makes possible the prediction of the location and shape of mentioned defect depending on the geometry of the casting and cooling condition of the process. An original computer program using Visual C++ environment has been written in order to simulate described process. The results of computer calculations of the three-dimensional solidification problem of the casting with riser are presented and discussed in details.
Key words: solidification / casting / shrinkage cavity / finite element method / numerical modelling
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.