Five projects at four Canadian universities get the go-ahead to improve automotive manufacturing processes and technologies
SURREY, B.C.—Five new automotive technology projects by the Automotive Partnership Canada initiative have been given the go-ahead at a number of Canadian universities after receiving more than $16-million from federal and private sources.
The Automotive Partnership Canada initiative has committed $6.5 million to four universities and another $10-million will come from industry partners to develop a battery pack thermal management system for hybrid-electric vehicles, improve wheel manufacturing processes, design new catalytic converters and fuel cell technologies and other ways to improve automotive manufacturing.
Introduced by the federal government in 2009, the Automotive Partnership Canada is a five-year, $145-million initiative supporting collaborative research and development for the Canadian automotive industry between industry and academia.
Fuel-cell powered buses can reduce carbon dioxide emissions by 60 to 100 per cent cmopared to diesel engine technology. The focus is developing and enhancing the proton exchange membrane (PEM) currently bottlenecking the overall durability and lifetime of fuel cell stacks and hybrid-electric drive-trains for transit buses.
Advanced computational tools will be developed based on commercial software packages and on in-house codes to design the cooling elements, their optimal placement within the die structure and the timing for when they are switched on and off. Heat transfer analysis, thermal stress analysis and inverse heat transfer tools will be developed and applied during the project.
This layer alters the thermal characteristics of the ceramic honeycomb and disrupts the flow of heat from the inner to the outer parts of the ceramic, increasing the thermal intake of the catalytic converter and reducing the time necessary to reach light-off temperature.
Researchers will place a digital human model within virtual computer-aided design and manufacturing (CAD/CAM) environments.
A variety of virtual analyses will predict the effectiveness and injury risk associated with a workstation layout.