Integrated Mechanical and Thermodynamic Optimization of an Engine Linkage Using a Multi-Objective Genetic Algorithm

Thomas A. Sullivan, James D Van De Ven, William Northrop, Kieran McCabe

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

In order to improve the thermodynamic efficiency of an internal combustion engine (ICE), a Stephenson-III six-bar linkage is optimized to serve as a replacement for the traditional slider-crank. Novel techniques are presented for formulating the design variables in the kinematic optimization that guarantee satisfaction of the Grashof condition and of transmission angle requirements without the need for an explicit constraint function. Additionally, a nested generalization of the popular NSGA-II algorithm is presented that allows simultaneous optimization of the kinematic, dynamic, and thermodynamic properties of the mechanism. This approach successfully solves the complex six-objective optimization problem, with challenges for future refinement including improvement of the combustion simulation to attain better accuracy without prohibitive computational expense.

Original languageEnglish (US)
Article number024501
JournalJournal of Mechanical Design, Transactions Of the ASME
Volume137
Issue number2
DOIs
StatePublished - Feb 1 2015

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Genetic algorithms
Thermodynamics
Engines
Kinematics
Internal combustion engines
Thermodynamic properties

Cite this

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