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Optimization of Automotive Valve Train Components with Implicit Filtering

Choi, T. D. / Eslinger, O. J. / Kelley, C. T. / David, J. W. / Etheridge, M.

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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Optimization of Automotive Valve Train Components with Implicit Filtering

Choi, T. D. / Eslinger, O. J. / Kelley, C. T. / David, J. W. / Etheridge, M.

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.

Optimization of Automotive Valve Train Components with Implicit Filtering

Choi, T. D. / Eslinger, O. J. / Kelley, C. T. / David, J. W. / Etheridge, M.

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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Titel:

Optimization of Automotive Valve Train Components with Implicit Filtering

Beteiligte:

Choi, T. D. (Autor:in) / Eslinger, O. J. (Autor:in) / Kelley, C. T. (Autor:in) / David, J. W. (Autor:in) / Etheridge, M. (Autor:in)

Erschienen in:

Optimization and Engineering ; 1 ; 9-27

Erscheinungsdatum:

01.06.2000

Format / Umfang:

19 pages

ISSN:

1573-2924 , 1389-4420

DOI:

https://doi.org/10.1023/A:1010071821464

Medientyp:

Aufsatz (Zeitschrift)

Format:

Elektronische Ressource

Sprache:

Englisch

Schlagwörter:

noisy optimization , implicit filtering , mechanical systems , automotive valve trains Mathematics , Agriculture , Systems Theory, Control , Optimization , Engineering, general , Environmental Management , Operation Research/Decision Theory

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