Efficient computation of the statistics of reciprocating engine dynamics with dimensional tolerances

F. Zhang, A. Sinha, B. J. Gilmore

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Using the alternating frequency/time domain technique and statistical analysis, an efficient analytical technique has been developed to compute the mean values and variances of the crank's angular speed and driving torque for a stochastically defined internal combustion(LC) engine. The 1. C. engine is represented by a slider-crank mechanism with a discontinuous force on the piston due to the time-varying gas pressure in the cylinder. The tolerances on link lengths and radial clearances and uncertainties in pin location are treated as random variables. The validity of analytical technique is established by comparison with results from Monte Carlo simulation. "The results from parametric studies are also presented.

Original languageEnglish (US)
Title of host publication15th Biennial Conference on Mechanical Vibration and Noise - Vibration of Nonlinear, Random, and Time-Varying Systems
PublisherAmerican Society of Mechanical Engineers (ASME)
Pages973-980
Number of pages8
ISBN (Electronic)9780791817186
DOIs
StatePublished - 1995
EventASME 1995 Design Engineering Technical Conferences, DETC 1995, collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium - Boston, United States
Duration: Sep 17 1995Sep 20 1995

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume3A-1995

Conference

ConferenceASME 1995 Design Engineering Technical Conferences, DETC 1995, collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium
Country/TerritoryUnited States
CityBoston
Period9/17/959/20/95

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Modeling and Simulation

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