Improving Transfer Efficiency and Reducing GHG and VOC Emissions in the Application of Automotive Paint by Monitoring Sprays Using the Mazlite Platform

The objective of this project is to help reduce the environmental impacts of automotive painting operation by correlating changes in paint quality, transfer efficiency, and VOC and GHG emissions with droplet size distributions and the spray pattern produced by Electrostatic Rotating Bell atomizers.
During the project, data will be collected using the innovative Mazlite platform in an automotive paint booth. Furthermore, the researcher will study several key parameters and analyze the datasets to investigate and optimize operating conditions, transfer efficiency such that the integrity of the colour and finish is maintained. To track the impact of this project, the candidate will develop process improvement KPIs to measure the reduction in material waste, energy consumption, and VOC and greenhouse gas (GHG) emissions.
Mazlite has developed a system that can measure the size and velocity of droplets produced by a spray system in real-time. Mazlite will benefit from this project as it will enable the commercialization of the technology in an automotive beta test site. The project research and results will show the benefits of using the Mazlite platform in the production line. Furthermore, any scientific papers that involve the use of Mazlite technology will help in promoting its use cases.

Faculty Supervisor:

Sanjeev Chandra

Student:

Partner:

Mazlite Inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Toronto

Program: