Selection Families of Optimal Engine Designs Using Nonlinear Programming and Parametric Sensitivity Analysis

971600

05/01/1997

Event
International Spring Fuels & Lubricants Meeting & Exposition
Authors Abstract
Content
The selection process of key engine design variables to maximize peak power subject to fuel economy and packaging objectives is formulated as an optimization problem readily solved with nonlinear programming. The merit of this approach lies not in finding a single optimal engine, but in identifying a family of optimal designs dependent on parameter changes in the constraint set. Sensitivity analysis of the optimum to packaging parameters, fuel economy parameters, and manufacturing parameters is presented and discussed in the context of product development decisions.
Meta TagsDetails
DOI
https://doi.org/10.4271/971600
Pages
11
Citation
Wagner, T., and Papalambros, P., "Selection Families of Optimal Engine Designs Using Nonlinear Programming and Parametric Sensitivity Analysis," SAE Technical Paper 971600, 1997, https://doi.org/10.4271/971600.
Additional Details
Publisher
Published
May 1, 1997
Product Code
971600
Content Type
Technical Paper
Language
English