Flow analysis and validation of numerical modelling for a thin walled high pressure die casting using SPH

被引:39
|
作者
Cleary, Paul W. [1 ]
Savage, Gary [2 ]
Ha, Joseph [1 ]
Prakash, Mahesh [1 ]
机构
[1] CSIRO, Math Informat & Stat, Private Bag 33, Clayton, Vic 3168, Australia
[2] CSIRO, Mat Sci & Engn, Clayton, Vic 3168, Australia
关键词
High pressure die casting; HPDC; Smoothed particle hydrodynamics; SPH; Validation; Thin walls; water analogue;
D O I
10.1007/s40571-014-0025-4
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
High pressure die casting (HPDC) is an important process for high throughput manufacturing of complex shaped metallic components. The flow involves significant fragmentation and spray formation as the high pressure liquid jets into the die from the gate system. An important class of die cast components is one with large areas of thin walls. An example of this is the chassis of the laptop computer. Computational modelling provides an opportunity to both better understand the filling process and to optimize the runner, gates, flash overs and venting systems for the die. SPH has previously been found to be very suitable for predicting HPDC for bulkier automotive components. The modelling challenges arising from the very thin sections and the many flow paths in a laptop chassis require careful validation. A water analogue experiment is used to validate the predictions of the SPH model for this representative thin walled casting. SPH predictions are used to understand and characterise the filling process. Finally, comparison of flow lines visible in an etched finished casting with the high speed flow paths in the final filled SPH model show very strong agreement. Together these demonstrate that such an SPH model is able to capture substantial detail from both the water analogue system and the actual casting process and is very suitable for simulating these types of complex thin walled castings.
引用
收藏
页码:229 / 243
页数:15
相关论文
共 50 条
  • [1] Flow analysis and validation of numerical modelling for a thin walled high pressure die casting using SPH
    Paul W. Cleary
    Gary Savage
    Joseph Ha
    Mahesh Prakash
    Computational Particle Mechanics, 2014, 1 : 229 - 243
  • [2] 3D SPH flow predictions and validation for high pressure die casting of automotive components
    Cleary, P. W.
    Ha, J.
    Prakash, M.
    Nguyen, T.
    APPLIED MATHEMATICAL MODELLING, 2006, 30 (11) : 1406 - 1427
  • [3] FLOW MODELING IN HIGH-PRESSURE DIE-CASTING PROCESSES USING SPH MODEL
    Hu, M. Y.
    Cai, J. J.
    Li, N.
    Yu, H. L.
    Zhang, Y.
    Sun, B.
    Sun, W. L.
    INTERNATIONAL JOURNAL OF METALCASTING, 2018, 12 (01) : 97 - 105
  • [4] Flow Modeling in High-Pressure Die-Casting Processes Using SPH Model
    M. Y. Hu
    J. J. Cai
    N. Li
    H. L. Yu
    Y. Zhang
    B. Sun
    W. L. Sun
    International Journal of Metalcasting, 2018, 12 : 97 - 105
  • [5] Experimental and numerical analysis of failures on a die insert for high pressure die casting
    Markezic, R.
    Naglic, I
    Mole, N.
    Sturm, R.
    ENGINEERING FAILURE ANALYSIS, 2019, 95 : 171 - 180
  • [6] Thermal and flow modelling of ladling and injection in high pressure die casting process
    Wang, LH
    Nguyen, T
    Savage, G
    Davidson, C
    INTERNATIONAL JOURNAL OF CAST METALS RESEARCH, 2003, 16 (04) : 409 - 417
  • [7] 3-dimensional SPH simulations of high pressure die casting
    Ha, J
    Cleary, PW
    COMPUTATIONAL FLUID DYNAMICS 2002, 2003, : 179 - 184
  • [8] Three dimensional modelling of high pressure die casting
    Cleary, PW
    Ha, J
    INTERNATIONAL JOURNAL OF CAST METALS RESEARCH, 2000, 12 (06) : 357 - 365
  • [9] Predicting the influence of pore characteristics on ductility of thin-walled high pressure die casting magnesium
    Sun, X.
    Choi, K. S.
    Li, D. S.
    MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 2013, 572 : 45 - 55
  • [10] Minimizing the casting defects in high-pressure die casting using Taguchi analysis
    Tariq, S.
    Tariq, A.
    Masud, M.
    Rehman, Z.
    SCIENTIA IRANICA, 2022, 29 (01) : 53 - 69