An efficient technique for computing the sensitivities of reciprocating engine dynamics to dimensional tolerances

A. Sinha, B. J. Gilmore, V. Kohli

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


An efficient method has been developed to determine the steady state response of an internal combustion engine, which is governed by a nonlinear differential equation with discontinuous forcing function due to the nature of the pressure-volume (P-V) diagram. Unlike previously reported methods for dynamically driven mechanical systems, this approach can accurately and efficiently predict the sensitivities of an engine's output to dimensional tolerances. Hence, this technique is well suited for the development of an optimal tolerance allocation scheme based on nonlinear programming. The validity of this method which is based on the alternating frequency/time (AFT) domain technique has been establish^ by comparison with results from numerical integration of differential equation of motion. This method directly yields the mean crank speed and Fourier coefficients of temporal variations in engine's outputs such as crank's speed and the driving torque.

Original languageEnglish (US)
Title of host publication19th Design Automation Conference
Subtitle of host publicationVolume 1 - Mechanical System Dynamics; Concurrent and Robust Design; Design for Assembly and Manufacture; Genetic Algorithms in Design and Structural Optimization
PublisherAmerican Society of Mechanical Engineers (ASME)
Number of pages9
ISBN (Electronic)9780791811818
StatePublished - 1993
EventASME 1993 Design Technical Conferences, DETC 1993 - Albuquerque, United States
Duration: Sep 19 1993Sep 22 1993

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
VolumePart F167972-13


ConferenceASME 1993 Design Technical Conferences, DETC 1993
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

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


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