Using the Moebius transformation to predict the effect of source impedance on insertion loss

Yitian Zhang, Jinghao Liu, D. W. Herrin, Gayatri Kadlaskar, Jiawei Liu

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Knowledge of the strength and internal impedance of the sound source is essential to predict the overall acoustic performance of an exhaust or intake system. Source impedance is sometimes measured directly using a strong external source. At other times, a suitable external source is difficult to identify and an indirect multi-load method is used to determine source impedance and strength. Data can be processed using the commonly used circuit analogy or via a similar wave decomposition model. In this work, the two processing schemes are used to determine the source impedance and strength of a diesel engine. Results are compared to one another and to assumed source impedances and equations in the literature for source strength. The sound pressure in the exhaust is predicted from the measured source strength and impedance and compared with measurement. There is good agreement especially at the first few harmonics of the firing frequency. It is then observed that the equation relating the source impedance to the acoustic response is in the form of the Moebius transformation, which maps straight lines or circles in one complex domain into straight lines or circles in another complex domain. It is demonstrated that the range of source impedance, defined as an outline in the complex plane, can be transformed to a corresponding outline of the muffler insertion loss complex amplitude, and the minimum and maximum insertion loss can be computed at a given frequency. This permits the expected insertion loss range to be plotted as a function of frequency.

Original languageEnglish
Pages (from-to)105-116
Number of pages12
JournalNoise Control Engineering Journal
Volume66
Issue number2
DOIs
StatePublished - Apr 1 2018

Bibliographical note

Publisher Copyright:
� 2018 Institute of Noise Control Engineering.

ASJC Scopus subject areas

  • Building and Construction
  • Automotive Engineering
  • Aerospace Engineering
  • Acoustics and Ultrasonics
  • Mechanical Engineering
  • Public Health, Environmental and Occupational Health
  • Industrial and Manufacturing Engineering

Fingerprint

Dive into the research topics of 'Using the Moebius transformation to predict the effect of source impedance on insertion loss'. Together they form a unique fingerprint.

Cite this