【学术报告】[2019-5-10]Yao (Yolanda) Fu教授,Understanding Advanced Materials and Manufacturing Process using Multiscale Multiphysics Computational Approaches
报告题目: Understanding Advanced Materials and Manufacturing Process using Multiscale Multiphysics Computational Approaches
邀请报告人：Prof. Yao (Yolanda) Fu
报告时间: 14:30 pm--15:30 pm, May 10th, 2019
报告地点: 210 meeting room, MSE building
摘要:
Designing novel structural materials with complex shape and geometry is enabled with the advancement of additive manufacturing processes, to meet specific performance requirements that are not imaginable with traditional subtractive manufacturing techniques. The microstructure evolution during the repeated heating/cooling process determines the various properties of manufactured products. Modeling and simulation can advance our fundamental understanding of the underlying physical processes. In this seminar, we demonstrate the microstructure evolution involving the nucleation and grain growth of a binary alloy during the continuous cooling process via a combined multiphase field model and stochastic nucleation computational model. The nuclei are initiated by adding into the total free energy a term of the nucleation energy related to the variables that represents grains of different orientation. It was found that the temperature dependent nucleation rate and interface mobility are the main materials properties controlling the features of the resultant microstructures. More even-sized and fine grains can be formed under a high cooling rate given the specified temperature dependent nucleation rate. Solute trapping is the most prominent and solute segregation is the slightest at the highest cooling rate. Equipped with a grain-tracking method, this computational framework provides a viable and computationally efficiently pathway to investigate the large-scale microstructure evolution under various temperature histories that could occur in manufacturing processes. Moreover, the solid-state phase transformation in Ni based alloy during heat treatment is investigated using phase field modeling and validated by metallurgy and characterization methods.
简历:
Dr. Yao Fu is an assistant professor in the Department of Aerospace Engineering & Engineering Mechanics at the University of Cincinnati since 2017. Prior to that, she conducted her postdoctoral studies at the Oak Ridge National Laboratory and University of Colorado at Boulder. Dr. Fu received her PhD degree in mechanical engineering at University of Pittsburgh in 2013 and MS degree in Materials Science and Engineering at the Institute of Metal Research, Chinese Academy of Sciences in 2009. Dr. Fu’s research interests lie in the area of computationally guided innovative materials design and manufacturing as well as atomistic-continuum multiscale simulation to realize the integrated computational materials engineering paradigm. She has published more than 30 peer-reviewed journal publications and book chapters. Dr. Fu is the recipient of the 1st Degree Shichangxu Research Prize for Graduate Students at the Institute of Metal Research, Chinese Academy of Science (CAS), 2019 Faculty Development Award at the University of Cincinnati (UC) and the 2018-2019 University Research Center Faculty Research Cost Support Awards.
