Research Project:
An Initial Step Towards the Development of Predictive Tools to Reduce Particulate Matter from Transportation
University: University of Missouri-Kansas City
Principal Investigator(s): Amirfarhang Mehdizadeh
Outputs:
Successful implementation of this project will create a base modelling framework (in-silico) tool that allows optimization of exhaust systems to reduce disruptive particulate matter.
Outcomes/Impacts:
Availability of a reliable optimization tool allows for efficient design of various component of transportation systems where particle deposition may pose a serious challenge. Additionally, such tool are general and have the potential to be extended to study particle transport (pollution) beyond any specific device.
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