SEAMLESS SIMULATION FROM FLUID FLOW TO SOLIDIFICATION USING NEW MOVING PARTICLE SEMI-IMPLICIT (MPS) METHOD

被引:0
|
作者
Hirata, Naoya [1 ]
Anzai, Koichi [1 ]
机构
[1] Tohoku Univ, Grad Sch Engn, Aoba Ku, Sendai, Miyagi 9808579, Japan
关键词
Heat transfer; Solidification; Fluid flow; Particle Method; MPS method; Integrated simulation; FREE-SURFACE;
D O I
暂无
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
In this study, a fluid flow and solidification simulation programs based on Moving Particle Semi-implicit (MPS) method, one of Lagrangian meshless method, were developed to achieve seamless simulation of casting processes. Multiple relaxations and biased velocity correction methods were proposed and introduced to a fluid flow simulation to suppress disordered movement and bounding behavior of particles caused by original NIPS algorithm. The fluid flow simulation program was applied to the well-known benchmark lid-driven flow problems, and obtained results show that the proposed algorithms have high accuracy in spite of its low-resolution particle numbers. Heat transfer simulation program based on the NIPS method was also developed, and interfacial heat resistance was considered in the program. The fluid flow and the solidification simulation programs were merged, and density change with temperature was introduced into the algorithm. Finally, casting process simulations from mold filling to solidification were carried out seamlessly with the proposed algorithms. As a result, generation of outer and inner shrinkage is shown, and predicted shapes of internal and external shrinkages agree well with experimental results.
引用
收藏
页码:229 / 236
页数:8
相关论文
共 50 条
  • [1] Coupling Simulation of Flow and Solidification Using MPS (Moving Particle Semi-Implicit) Method
    Hirata, Naoya
    [J]. TETSU TO HAGANE-JOURNAL OF THE IRON AND STEEL INSTITUTE OF JAPAN, 2014, 100 (11): : 781 - 787
  • [2] GRAIN SCALE SIMULATION OF FLOW IN A SANDSTONE SAMPLE BY USING THE MOVING PARTICLE SEMI-IMPLICIT (MPS) METHOD
    Cheng, Liang-Yee
    Domingos, Ricardo Golghetto
    Tsukamoto, Marcio Michiharu
    [J]. PARTICLE-BASED METHODS II: FUNDAMENTALS AND APPLICATIONS, 2011, : 810 - 819
  • [3] Numerical simulation of fluid free surface flow using moving particle semi-implicit method
    School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an 710049, China
    [J]. Hsi An Chiao Tung Ta Hsueh, 2006, 3 (249-252+288):
  • [4] OPTIMIZATION OF MOVING PARTICLE SEMI-IMPLICIT (MPS) METHOD AND STUDYING OF FLOW INSTABILITY
    Guo, Kailun
    Chen, Ronghua
    Qiu, Suizheng
    Tian, Wenxi
    Su, Guanghui
    Wu, Junmei
    [J]. PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON NUCLEAR ENGINEERING, 2018, VOL 8, 2018,
  • [5] On The Laplacian Model for Particle-Based Simulation Using Moving-Particle Semi-Implicit (Mps) Method
    Ng, Khai-ching
    Sheu, Tony Wen-Hann
    Ng, Khai-Ching
    [J]. SIXTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2013), 2013, 9067
  • [6] Computational haemodynamics of small vessels using the Moving Particle Semi-implicit (MPS) method
    Gambaruto, Alberto M.
    [J]. JOURNAL OF COMPUTATIONAL PHYSICS, 2015, 302 : 68 - 96
  • [7] Moving particle semi-implicit method for fluid simulation with implicitly defined obstacles
    Kanetsuki, Yasutomo
    Sakamoto, Yasuaki
    Nakata, Susumu
    [J]. 3RD INTERNATIONAL CONFERENCE ON MATHEMATICAL MODELING IN PHYSICAL SCIENCES (IC-MSQUARE 2014), 2015, 574
  • [8] A Simulation of Soil Dumping Using Moving Particle Semi-Implicit Method
    Kim, Kyung Sung
    Lee, Jong Hyun
    [J]. JOURNAL OF COASTAL RESEARCH, 2021, : 549 - 553
  • [9] An enhanced moving particle semi-implicit method for simulation of incompressible fluid flow and fluid-structure interaction
    Cai, Qinghang
    Chen, Ronghua
    Guo, Kailun
    Tian, Wenxi
    Qiu, Suizheng
    Su, G. H.
    [J]. COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2023, 145 : 41 - 57
  • [10] Development of a Lagrangian Meshless Flow Solver based on the Moving Particle Semi-implicit (MPS) Method
    Ng, K. C.
    Ng, Y. L.
    Yusoff, M. Z.
    [J]. 4TH INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENT 2013 (ICEE 2013), 2013, 16