Computational Techniques for Multi-Scale Modeling in Advanced Manufacturing: Poster Session
Sponsored by: TMS Materials Processing and Manufacturing Division, TMS Extraction and Processing Division, TMS: Computational Materials Science and Engineering Committee, TMS: Process Technology and Modeling Committee
Program Organizers: Adrian Sabau, Oak Ridge National Laboratory; Anthony Rollett, Carnegie Mellon University; Laurentiu Nastac, University of Alabama; Mei Li, Ford Motor Company; Alexandra Anderson, Gopher Resource; Srujan Rokkam, Advanced Cooling Technologies, Inc.
Wednesday 5:30 PM
March 17, 2021
Room: RM 1
Location: TMS2021 Virtual
A Parametric Study of Grain Size and Its Volume Fraction Effect on Heterogeneous Materials Mechanical Properties: Khaled Adam1; Tarek Belgasam1; 1Washington State University
Tailoring the fraction and distribution of microstructural features computationally to achieve an optimized strength-ductility combination in heterogeneous materials is gaining importance. These microstructural features include grain size (GZ), geometrically Necessary Dislocation (GND), and crystallographic texture, among others. However, it is challenging to find the influence of an individual microstructural feature on the mechanical response experimentally due to cost limitations. In the current work, computational approaches and comprehensive statistical parametric study using response surface methodology (RSM) were combined to estimate the optimum fraction and distribution of microstructural features for coveted mechanical properties.
Effect of Nozzle Injection Mode on Initial Transfer Behavior of Round Bloom: Pu Wang1; liang Li1; Datong Zhao2; Weidong Liu2; Songwei Wang2; Haiyan Tang1; Jiaquan Zhang1; 1University of Science & Technology Beijing; 2Shanxi Taigang Stainless Steel Co., Ltd.
A coupled three-dimensional numerical model combing fluid flow, heat transfer, and solidification has been established to study the effect of two types of nozzle on the internal quality of LZ50 steel in a φ690mm sized continuously cast round bloom. The model is validated by measured data of the strand surface temperature for plant tests. According to the results, As the injection mode changes from the five-port to the six-port nozzle, the superheat degree in the strand center at the mold exit decreases by 9.3 K, which is the resulting increase in the center equiaxed crystal ratio is about 4.3%. A weaker impingement of the outlet flow on the shell has been observed as well, which can be expected to eliminate the popular subsurface white band phenomenon with an even shell thickness in the mold region. This suggests that the six-port nozzle can effectively improve the quality of large round bloom.
Study on the In-mold Flow Behavior Driven by a Subsurface Electromagnetic Stirring for IF Steel Slab Casting: Hong Xiao1; Shaoxiang Li2; Pu Wang1; Haiyan Tang1; Jiaquan Zhang1; 1University of Science & Technology Beijing; 2School of Materials Science and Engineering,Tsinghua University
A three-dimensional numerical model coupling the electromagnetic field, fluid flow and level fluctuation has been developed to investigate the flow behavior of molten steel in the Interstitial-Free (IF) slab continuous casting mold. According to the industrial and modeling results, the electromagnetic force (EMF) generates the swirls on the cross section and its number is corresponding to the magnetic pole pairs of electromagnetic fields. With the increase in current frequency, the EMF reaches the maximum at the current frequency of 4.5 Hz and then gradually decreases. When the current intensity changes from the 0A to the 600A, the blocking rate of slag entrapment decreases by 6.37%, but it increased 5.81% when the current intensity continues to increase to 650A. It suggests that the optimized current intensity of mold-electromagnetic stirring (M-EMS) can effectively prevent surface or subsurface defects for clean steel production.