演讲摘要：The manufacturing technologies of the future for converting chemicals, materials, energy etc will be done in efficient, distributed, modular process equipment where multiphase flows are ubiquitous. Our traditional design approach has been to rely on rules of thumb, pilot-scale development, and testing of process equipment which takes up to 20 years to develop a single technology. The design procedures are often highly empirical, dismissing the high degree of freedom that an engineer has at the early stages of design by making ad-hoc design decisions but paying the price during scale-up of processes through expensive pilot-scale experiments. The question I address in this presentation is, “Can Advanced Computational modeling tools come to our rescue in minimizing the need for pilot-scale experiments?” On the fundamental side, advanced algorithms for direct numerical simulation (DNS) and Discrete Element Modelling (DEM) of multiphase flows aid in detailed understanding but for limited size. For dispersed rigid particles, the Navier-Stokes equations are coupled with the rigid body dynamics rigorously to track the particle motion in a fluid. These classes of algorithms show great promise in attempting to shed light on multiphase flows from which we can extract statistically meaningful average behavior for use in the design of large-scale engineering equipment.
讲者简介：K. Nandakumar院士是国际著名热能工程、化学工程专家，2007年入选加拿大工程院院士，现任美国路易斯安那州立大学化学工程系首席教授。Kumar院士致力于多相流领域的非线性计算理论及各传递过程的模型、计算及应用研究长达40余年，技术专长是涉及能源、化工等工业过程中多相、多尺度、多物理场耦合计算过程的模型研究、数值计算及工程应用。在《Journal of Fluid Mechanics》《International Journal of Heat and Mass Transfer》等国际权威学术期刊上发表SCI论文200余篇（总被引近4000次，H因子= 40），出版专著8部；承担了加拿大、美国等国家自然科学基金及企业技术服务项目约50项；担任过包括美国国家科学基金会等多个国家的重要基金项目评审组成员；获得洪堡学者、加拿大化工学会突出贡献奖、化工学会终生成就奖等10余项国际荣誉。
2022 CCF全国高性能计算学术年会
特邀嘉宾
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