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The development of new transmission designs continues to affect the vehicle market. Continuously variable transmissions (CVTs) remain one of the more recent designs that impact the vehicle market. A desire for high belt-pulley capacity has driven studies concentrating on metal-on-metal (M/M) friction as a function of the CVT fluid. This paper describes the statistical techniques used to optimize the fluid friction as a function of additive components in a bench-scale, three-element test rig.

In the development of next generation continuously variable transmission fluids (CVTF) where high metal-to-metal friction is required, statistical methods play an important role in finding and understanding chemical additive effects on friction coefficient. In this study, the iterative use of statistical experimental design is applied, first with a Plackett-Burman design to screen many component effects, and then with mixture experiments to further study selective component and interaction effects, so that optimal fluid performance can ultimately be achieved. Friction data generated from continuously variable transmission (CVT) push belt element, bench screen-tests is utilized to make inferences about formulation behavior.