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Updated: Oct 30, 2025
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Indirect Fabrication of Lattice Metals with Thin Sections Using Centrifugal Casting
Published on: May 14, 2016
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Material Databases and Validation in Modelling the Structure of Castings Using the Cellular Automaton Method
Jakub Hajkowski1, Robert Sika1, Michał Rogalewicz2
1Division of Foundry and Plastic Working, Institute of Materials Technology, Faculty of Mechanical Engineering, Poznan University of Technology, 3 Piotrowo St., 60-965 Poznan, Poland.
Materials (Basel, Switzerland)
|July 2, 2021
Summary
This study validates the Calcosoft CAFE system for predicting casting crystalline structure, enhancing material databases for improved simulation accuracy in materials science.
Area of Science:
- Materials Science and Engineering
- Computational Materials Science
- Casting Simulation
Background:
- Accurate prediction of crystalline structure in castings is crucial for material properties.
- Commercial simulation systems require validation for reliable application.
- Understanding nucleation and crystal growth phenomena is key to microstructure control.
Purpose of the Study:
- To evaluate the scope and usefulness of the Calcosoft CAFE system for predicting casting crystalline structure.
- To identify the influence of thermal and structural model parameters on simulation outcomes.
- To perform experimental-simulation validation of the CAFE code under diverse solidification conditions.
Main Methods:
- Utilized the Calcosoft CAFE system for crystalline structure prediction.
- Conducted simulation studies with validated material databases.
- Performed experimental tests on castings solidified in various mould materials (moulding sand, chill, insulating mass).
- Validated simulation results against experimental data by analyzing crystal refinement, columnar-to-equiaxed transition (CET) zone, and crystal angle.
Main Results:
- Identified the influence of thermal and structural model parameters and result interpretation methods.
- Extended material databases with crucial parameters for alloy crystallization under specific conditions.
- Established correlations between micro- and macroscale simulation results.
- Determined the application limits of individual parameters and their impact on structure formation.
Conclusions:
- The Calcosoft CAFE system is a useful tool for predicting casting crystalline structure.
- Experimental-simulation validation is essential for reliable casting process modeling.
- The study enhanced the understanding of structure formation and improved simulation databases for multiscale and multiphysics phenomena.
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