Flogen
2019 - Sustainable Industrial Processing Summit & Exhibition
23-27 October 2019, Coral Beach Resort, Paphos, Cyprus
Abstract still accepted for a limited time
Almost 500 Abstracts Submitted from 60 Countries
Six Nobel Laureates have already confirmed their attendance: Profs. Dan Shechtman, Kurt Wüthrich, Ferid Murad, Rudy Marcus, Yuan Lee and Klaus Klitzing.
NEWS
Abstract Submission

DETAILLED PROGRAM OVERVIEW

Back
    [Smart Material Systems]
    Constrained Crystal Growth During Solidification of Particles and Splats in Uniform Droplet Sprays
    Constrained Crystal Growth During Solidification of Particles and Splats in Uniform Droplet Sprays
    Haris Doumanidis1; Yiannos Ioannou2; Hiroki Fukuda3; Teiichi Ando4; Claus Rebholz5; Yiliang Liao6;
    1VIN UNIVERSITY, Hanoi, Viet Nam; 2MONTANUNIVERSITAT LEOBEN, Leoben, Austria; 3FUKUDA METAL FOIL & POWDER CO LTD, Kyoto, Japan; 4NORTHEASTERN UNIVERSITY, Boston, United States; 5UNIVERSITY OF CYPRUS, Nicosia, Cyprus; 6UNIVERSITY OF NEVADA RENO, Reno, United States;
    PAPER: 152/Manufacturing/Keynote (Oral)
    SCHEDULED: 12:10/Thu. 24 Oct. 2019/Leda (99/Mezz. F)



    ABSTRACT:
    Crystallite size is a primary determinant of the mechanical properties in solidified alloy deposits, and thus it is in need of predictive modeling. This project reports on employing uniform droplet spraying (UDS) [1] as a paradigm for solidification modeling of mono-size solid droplets in an oil bath, as well as planar and globular splats on a cooling substrate for AZ91D and Mg97ZnY2 alloys [2]. The model combines a nucleation and dendrite fragmentation description from solidification theory with a framework for constrained growth of crystalline domains confined by adjacent developing ones [3]. The latter is based on differential attributes of the dynamic temperature field during solidification, derived from semi-analytical expressions for the simple droplet and splat geometries above. The model parameters are calibrated and its predictions are validated against measured domain size distributions on section micrographs, and found to be within a -10% to +14% estimation error range. Further improvement of the model via numerical thermal descriptions for off-line material design and optimization in additive manufacturing is discussed [4], along with its use as a real-time structural observer for closed-loop control based on temperature measurements in UDS-based processes.

    References:
    [1] Chun, J.-H., Passow, C.H., " Production of Charged Uniformly Sized Metal Droplets ", Massachusetts Institute of Technology, US Patent 5,266,098 (1992).
    [2] Fukuda, H, "Droplet-Based Processing of Magnesium Alloys for the Production of High-Performance Bulk Materials", PhD Thesis, MIE Dept, Northeastern University, Boston, MA (2009).
    [3] DiVenuti, A.G., Ando, T., " Free Dendritic Growth Model Accommodating Curved Phase Boundaries and High Peclet Number Conditions " Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science 29A (12) (1998): 3047-3056.
    [4] Wang, P., Sun, H., Wong, P.Y., Fukuda, H., Ando, T., " Modeling of Droplet-Based Processing for the Production of High-performance Particulate Materials Using Level Set Method ", Proc. of IMECE2008, ASME, Boston, MA (2008).