Robust and optimum design selection for crank train dampers 2020-01-0603
Reduced engine noise and vibrations is a key challenge in product development which leads to better comfort for end customer. Cranktrain is a major contributor in the transfer path of gas oscillations. The noise and vibrations induced by cranktrain torsional resonances are reduced by providing torsional dampers. Dampers are also important for avoiding resonant failures. The requirements from dampers is high reliability, lesser sensitivity for manufacturing variability in rubber properties with respect to desired performance.
The requirement from a cranktrain damper is to achieve minimum crankshaft vibratory torque. Also, damper heat dissipation and torsional oscillations need to be within acceptable limits. This depends on selection of damper dimensions, damper hub inertia, ring inertia and rubber stiffness. There is a non-linear dependence of these parameters on damper performance. Hence, it needs an optimizer with better design space exploration capabilities.
This paper presents, reliability based optimization process starting with generation of RSM followed by NSGA-II evolutionary search algorithm to achieve robust optimum damper design in early phase of product development through simulation. The process reduced number of prototype tests leading to reduction in time and cost of development.
Keywords: Reliability based design optimization, torsional damper, robust, RSM