Fixed-Time Cooperative Control of Multi-Agent Systems Under Denial-of-Service Attacks and Its Application

Project: Research

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Computer-aided design has become an indispensable tools for optimizing and innovating combustion energy conversion devices in response to the contemporary concerns on climate change and energy security. Developing a quantitatively predictive combustion modeling capability is the critical area that requires advances to support the design. The identified key scientific problems for combustion modelling are combustion chemistry, turbulence/chemistry interaction, and spray, all of which require modelling various physical/chemical processes occurring at length scales being substantially smaller than the device size. The proposed research aims to tackle one of the important sub-problems pertinent to spray modelling: quantitatively predicting the outcomes (e.g. coalescence and bouncing) of droplet collisions in spray.   The existing computer simulations are incompetent at quantitatively predicting droplet collision outcomes because they are incapable of simultaneously capturing all the essential flow phenomena of droplet collision, which span over from the sub-millimeter scales of droplet deformation, to the sub-micrometer scales of rarefied gas flow, and eventually to the nanometer scales of the van der Waals force. The proposed research aims to establish the required theoretical models for these physics occurring at below millimeter scales. Computer simulations and experimental validations will be conducted to examine the capability of the models for quantitative predictions. The proposed research will make small but firm steps towards quantitatively predictive spray modelling. 


Project number9043475
Grant typeGRF
Effective start/end date1/01/21 → …