报告题目：Physical, Mathematical and Data Driven Modelling of Metallurgical Processes
报 告 人：Kinnor Chattopadhyay
时间:12月23日 (星期一) 下午: 14:00-16:00
报告人概况：Prof. Kinnor Chattopadhyay is a process metallurgist and has 10 years of experience in metallurgical process consulting and research. He has extensive knowledge of heat, mass and fluid flow, metallurgical thermodynamics, liquid metals processing and casting and has worked with numerous metals companies internationally. He has 140+ publications to his credit and has presented at various international conferences across the globe (USA, Canada, China, India, Japan and Europe). He is currently the Dean's Catalyst Professor and AIST Foundation Steel Professor in the Faculty of Applied Science and Engineering at the University of Toronto, and works in the area of process/extractive metallurgy. Kinnor focuses on physical and mathematical modelling of metallurgical process for designing new processes, better understanding of existing process, operational improvements, and to perform ‘what if’ and ‘root cause’ analyses of problems. Fundamentals of metallurgical thermodynamics, transport phenomena and CFD modelling are applied to simulate real industrial processes. Integrated Modelling Solutions (Data Driven Modelling +ANN +Thermodynamic Modelling +Computational Fluid Dynamics) are proposed to develop and design new processes or to improve existing ones. Kinnor obtained his Masters and PhD from McGill University, Canada under the supervision of Roderick Guthrie and then also obtained a certificate in business and international relations from the London School of Economics. Kinnor is also currently on the Board of several companies including 3AMT Ltd and XproEM Ltd which are ventures in additive manufacturing and battery recycling respectively.
摘要：Most operations in materials processing involve complex phenomena comprising of chemical thermodynamics and associated momentum, heat, and/or mass transport, and these apply to ferrous processes, non ferrous processes, casting of metals, atomization of metals to produce powders and nano powders, welding and joining processes, special refining techniques etc. All these processes essentially comprise of turbulent non- isothermal reacting multiphase flows. As difficult as it sounds, researchers often start with chemical thermodynamics to understand the feasibility of a process. While thermodynamics is an excellent tool to start with, it only tells us half the story, and thus transport phenomena, i.e. fluid flows, heat transfer and mass transfer, play a dominant role in materials processing since their respective rules dictate the kinetics of the various physical phenomena occurring in these processes. These phenomena include such events as multi phase reactions, entrainment of secondary and tertiary phases in the primary phase (slag and gas entrainment in liquid metals), degassing of metals and alloys, alloy melting and mixing, the movements and flotation of particles in melts, melt temperature losses, residence times in a metallurgical reactors, erosion of refractory linings, particle size distribution during high pressure atomization etc. These are complicated multiphase processes and often include multi-physics based phenomena. Hence it is of utmost importance that the development and improvement in our modelling techniques, and abilities to simulate these flows, and their associated transport phenomena contribute significantly to our knowledge building endeavours, which in turn helps in effectively designing and operating metallurgical/materials processes. In my research group at the university of Toronto, we focus on steelmaking and casting processes, Copper converting, Aluminum electrolysis, Aluminum recycling, production of metal powders, and recycling of used batteries. For all these processes we apply state of the art physical, mathematical and data driven processing techniques to optimize and design new processes. In this lecture I will talk about my education and experience, show some of our research highlights since 2014, and then share our research plans for the next 5 years.