Thanks to ubiquitous availability of high - performance computing power, there is an increasing demand towards development of numerical models for simulation of multiphysics problems, particularly in applications pertinent to thermo - fluid systems. For many of these physical processes , however, the multitude of scales amongst which they develop and interact remains the primary challenge for researchers who aim to revitalize the computational energy research.
This presentati on provides a brief overview of the presenter’s recent accomplishments at UTRC in developing numerical and physical models for various multiphysics and multiscale problems. In particular, high fidelity computational models are developed, to achieve predictivity with practical relevance across various disciplines . The topics to be briefly covered in this presentation are as follows:
1. High - fidelity simulation approach for simulation of nucleate and convective boiling. The simulation model is capable of predicting the heat transfer and hydrodynamic characteristics of nucleate boiling and the transition to critical heat flux on surfaces of arbitrary shape and roughness distribution addressing a critical need to design enhanced boiling heat transfer surfaces.
2. Multiscale approach towards simulation of heterogeneous condensation and freezing. The combination of deterministic “grid - independent” phase - field approach, multiphase CFD, and stochastic Diffusion - Monte - Carlo allows simulation of ice and water nucleation, and their growth which provides physical insight on the role of physical and operating conditions on the topology and growth characteristics of water condensate and ice.
3. Multiscale simulation of interfacial flows and bubble breakup. A novel interface tracking methodology, referred to as Voronoi Interface Method, allows high - fidelity simulation of foamy interfaces, which are present in almost all thermo - fluids and other applications. Physics - based representation of evolution and break - up of the foam network allows full characterization of “interf acial bubble - breakup” and droplet generation. Expanding on these capabilities, the primary objective will be to develop and employ state - of - art computational methods for multiphase flow and multiphysics problems that will serve as a crucial precursor to designing and devising next generation thermo - fluid technologies. This will be possible thanks to increasing abundance of computational power along with the imperative marriage of these computational tools with the emerging advanced manufactu ring techni ques.
Biography: Miad Yazdani is a principal research scientist at United Technologies Research Center. He has received his PhD from Illinois Institute of Technology in Chicago in December 2009 and joined UTRC as a Senior Researcher. His particular expertise is in numerical model development for multiphase and multiphyiscs phenomena pertinent to thermal & fluid applications. Along with numerous journal and patent publications, he is the recipient of Te chnical Excellence Award in 2016 from UTC Corporate which is awarded to one distinguished researcher for breakthrough research accomplishment. He has been nominated for MIT Technology Review “ 35 under 35 innovators ” (2016).