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Optimization of Automotive Valve Train Components with Implicit Filtering

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Abstract

In this paper we show how the implicit filtering algorithm can be applied to problems in parameter identification and optimization from automotive valve train design. We extend our previous work by using a more refined model of the valve train and exploiting parallelism in a different way. We apply the parameter identification results to obtain optimal profiles for camshaft lobes.

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Choi, T.D., Eslinger, O.J., Kelley, C.T. et al. Optimization of Automotive Valve Train Components with Implicit Filtering. Optimization and Engineering 1, 9–27 (2000). https://doi.org/10.1023/A:1010071821464

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