3D SPH flow predictions and validation for high pressure die casting of automotive components

被引:126
作者
Cleary, P. W.
Ha, J.
Prakash, M.
Nguyen, T.
机构
[1] CAST, CSIRO Math & Informat Sci, Clayton, Vic 3169, Australia
[2] CSIRO Mfg & Infrastruct Technol, Preston, Vic 3072, Australia
关键词
SPH; high pressure die casting; automotive components; water analog model;
D O I
10.1016/j.apm.2006.03.012
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The geometric complexity and high fluid speeds involved in high pressure die casting (HPDC) combine to give strongly three-dimensional fluid flow with significant free surface fragmentation and splashing. A Lagrangian simulation technique that is particularly well suited to modelling HPDC is smoothed particle hydrodynamics (SPH). Materials are approximated by particles that are free to move around rather than by fixed grids, enabling the accurate prediction of fluid flows involving complex free surface motion. Validation of isothermal SPH flow predictions for the casting of a servo piston head using water analogue experiments is presented. Comparison with MAGMAsoft predictions provides information of the relative strengths of these two approaches. The SPH simulations were better able to capture the key details of the fluid motion and splashing, particularly the relative rates of flow around sharp bends and through thin sections. Validation of flow predictions coupled to temperature and solidification using short shots are also presented. The bulk features of the final solid castings are in good agreement with the predictions. Several automotive examples of SPH simulated HPDC flows are presented, ranging from simple cases such as a servo piston to steering column components and a full engine rocker cover. These show unprecedented detail in the fluid free surfaces, particularly in the extent of fragmentation and void formation. These results together combine to demonstrate that SPH modelling of HPDC has now reached a level where both isothermal and thermal simulations can be performed in reasonable computation times for large scale automotive castings and provide a high degree of predictive accuracy. Crown Copyright (c) 2006 Published by Elsevier Inc. All rights reserved.
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页码:1406 / 1427
页数:22
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