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Technical Paper

Friction Torque Parameters Evaluation Applying Design of Experiments Methodology

2010-10-06
2010-36-0391
Each year more strict laws and regulations concern the environmental impact of green house gases of general vehicles. Hence, any step taken towards a systemic efficiency increase of internal combustion engines and power-trains revels great a deal of emission reduction downstream the fuel consumption chain. Most of such mechanical systems depend on friction reduction elements, such as special low-friction coats and rolling element bearings, even so there is still some power loss on these components. In order to reduce such losses due to friction, in other words increasing the component's efficiency, this work applies the Design of Experiments -DoE methodology along with the frictional torque simulation in an automotive application to asses the effects of the variables and its interactions involved in the friction torque theory. For simulation studies a Response Surface Design is generated and Box-Behnken Design is carried out.
Technical Paper

Evaluation of the Influence of Raceway Profile Design on the Friction Torque of Roller Bearings Applying Design and Analysis of Computer Experiments Methodology

2011-10-04
2011-36-0107
In the track to fuel efficiency increase and green house gases emissions reduction, systemic friction reduction in mechanical components starts to play a big role in the complete automotive system design. When thinking on design for friction efficiency, most of the common applied mechanical components still have enough room for improvement, so as to greatly impact the whole mechanical efficiency. Following the results obtained by a Design and Analysis of Computer Experiments - DACE investigation on the most influencing friction torque parameter of roller bearings, different designs of raceway profiles were examined in order to reduce the bearing friction, i.e., increase its efficiency. In this work a DACE methodology was applied alongside a friction model for the roller bearings to evaluate the effects of the variables and its interactions.
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