The crankshaft bearing is the key component of a rotate vector (RV) reducer. However,\nowing to the harsh working load and restricted available space, the bearing often suffers from\nfatigue failure. Therefore, this study proposes a novel optimization method for RV reducer\ncrankshaft bearings. A nonlinear constraint optimization model for the design of the bearing\nconsidering the crowned roller profile is formulated and is solved by using a crow search algorithm.\nThe goal of the optimization is to maximize the fatigue life of the bearing. The design variables\ncorresponding to the bearing geometry and crowned roller profile are considered. The load working\nconditions of the bearing and structure of the RV reducer are analyzed. Various constraints,\nincluding geometry, lubrication, strength of the bearing, and structure of the RV reducer, are\nestablished. Through the optimization design, the optimum crowned roller profile suitable for the\nworking load of the bearing is obtained, and the stress concentration between the roller and raceway\nis eliminated.
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