On the influence of cyclic variability on surface noise contribution analysis of internal combustion engines

Antonio Acri, Eugene Nijman, Michael Klanner, Günter Offner, Roberto Corradi

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Abstract

Practical mechanical systems often operate with some degree of uncertainty. The uncertainties can result from poorly known or variable parameters, from uncertain inputs or from rapidly changing forcing that can be best described in a stochastic framework. In automotive applications, cylinder pressure variability is one of the uncertain parameters that engineers have to deal with when designing and analyzing internal combustion engines. The characterization of acoustic radiation patterns of internal combustion engines is a challenging task required for the purpose of effective noise reduction. In this paper the influence of cylinder pressure cyclic variability on the assessment and ranking of the different radiating engine surfaces is investigated. A surface contribution analysis (SCA) within a wave based method (WBM) framework is adopted for the assessment of noise radiated from different vibrating surfaces of an engine structure. The method adopted consists in the decomposition of the boundary conditions of the WBM model, assuming the linearity of the vibrational problem associated to the generation of the vibrations on the structure surface, for which the superposition principle is valid. In order to investigate the cyclic variability of cylinder pressure, a Monte Carlo approach is adopted. Starting from measured cylinder pressures that exhibits cyclic variability, random Gaussian distribution of the equivalent force applied on the piston is generated. The results obtained from this analysis are used to derive correlations between cyclic variability and statistical distribution of the results. The statistical information derived can be used to advance the knowledge of the WBM and SCA applications when uncertain inputs are considered.
Originalspracheenglisch
Seiten (von - bis)97-108
Seitenumfang12
FachzeitschriftApplied Acoustics
Jahrgang132
DOIs
PublikationsstatusVeröffentlicht - 2018

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internal combustion engines
engines
ranking
pistons
statistical distributions
noise reduction
sound waves
normal density functions
engineers
linearity
boundary conditions
decomposition
vibration

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On the influence of cyclic variability on surface noise contribution analysis of internal combustion engines. / Acri, Antonio; Nijman, Eugene; Klanner, Michael; Offner, Günter; Corradi, Roberto.

in: Applied Acoustics, Jahrgang 132, 2018, S. 97-108.

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

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abstract = "Practical mechanical systems often operate with some degree of uncertainty. The uncertainties can result from poorly known or variable parameters, from uncertain inputs or from rapidly changing forcing that can be best described in a stochastic framework. In automotive applications, cylinder pressure variability is one of the uncertain parameters that engineers have to deal with when designing and analyzing internal combustion engines. The characterization of acoustic radiation patterns of internal combustion engines is a challenging task required for the purpose of effective noise reduction. In this paper the influence of cylinder pressure cyclic variability on the assessment and ranking of the different radiating engine surfaces is investigated. A surface contribution analysis (SCA) within a wave based method (WBM) framework is adopted for the assessment of noise radiated from different vibrating surfaces of an engine structure. The method adopted consists in the decomposition of the boundary conditions of the WBM model, assuming the linearity of the vibrational problem associated to the generation of the vibrations on the structure surface, for which the superposition principle is valid. In order to investigate the cyclic variability of cylinder pressure, a Monte Carlo approach is adopted. Starting from measured cylinder pressures that exhibits cyclic variability, random Gaussian distribution of the equivalent force applied on the piston is generated. The results obtained from this analysis are used to derive correlations between cyclic variability and statistical distribution of the results. The statistical information derived can be used to advance the knowledge of the WBM and SCA applications when uncertain inputs are considered.",
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AU - Offner, Günter

AU - Corradi, Roberto

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N2 - Practical mechanical systems often operate with some degree of uncertainty. The uncertainties can result from poorly known or variable parameters, from uncertain inputs or from rapidly changing forcing that can be best described in a stochastic framework. In automotive applications, cylinder pressure variability is one of the uncertain parameters that engineers have to deal with when designing and analyzing internal combustion engines. The characterization of acoustic radiation patterns of internal combustion engines is a challenging task required for the purpose of effective noise reduction. In this paper the influence of cylinder pressure cyclic variability on the assessment and ranking of the different radiating engine surfaces is investigated. A surface contribution analysis (SCA) within a wave based method (WBM) framework is adopted for the assessment of noise radiated from different vibrating surfaces of an engine structure. The method adopted consists in the decomposition of the boundary conditions of the WBM model, assuming the linearity of the vibrational problem associated to the generation of the vibrations on the structure surface, for which the superposition principle is valid. In order to investigate the cyclic variability of cylinder pressure, a Monte Carlo approach is adopted. Starting from measured cylinder pressures that exhibits cyclic variability, random Gaussian distribution of the equivalent force applied on the piston is generated. The results obtained from this analysis are used to derive correlations between cyclic variability and statistical distribution of the results. The statistical information derived can be used to advance the knowledge of the WBM and SCA applications when uncertain inputs are considered.

AB - Practical mechanical systems often operate with some degree of uncertainty. The uncertainties can result from poorly known or variable parameters, from uncertain inputs or from rapidly changing forcing that can be best described in a stochastic framework. In automotive applications, cylinder pressure variability is one of the uncertain parameters that engineers have to deal with when designing and analyzing internal combustion engines. The characterization of acoustic radiation patterns of internal combustion engines is a challenging task required for the purpose of effective noise reduction. In this paper the influence of cylinder pressure cyclic variability on the assessment and ranking of the different radiating engine surfaces is investigated. A surface contribution analysis (SCA) within a wave based method (WBM) framework is adopted for the assessment of noise radiated from different vibrating surfaces of an engine structure. The method adopted consists in the decomposition of the boundary conditions of the WBM model, assuming the linearity of the vibrational problem associated to the generation of the vibrations on the structure surface, for which the superposition principle is valid. In order to investigate the cyclic variability of cylinder pressure, a Monte Carlo approach is adopted. Starting from measured cylinder pressures that exhibits cyclic variability, random Gaussian distribution of the equivalent force applied on the piston is generated. The results obtained from this analysis are used to derive correlations between cyclic variability and statistical distribution of the results. The statistical information derived can be used to advance the knowledge of the WBM and SCA applications when uncertain inputs are considered.

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