Optimization of Automotive Valve Train Components with Implict Filtering
نویسندگان
چکیده
Abstract. In this paper we show how the implicit filtering algorithm can be parallelized and applied to problems in parameter identification and optimization in automotive valve train design. We extend our previous work by using a more refined model of the valve train and exploiting parallelism in a new way. We apply the parameter identification results to obtain optimal profiles for camshaft lobes.
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