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 language | English (US) |
|---|---|
| Article number | 024501 |
| Journal | Journal of Mechanical Design, Transactions Of the ASME |
| Volume | 137 |
| Issue number | 2 |
| DOIs | |
| State | Published - Feb 1 2015 |
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Integrated Mechanical and Thermodynamic Optimization of an Engine Linkage Using a Multi-Objective Genetic Algorithm. / Sullivan, Thomas A.; Van De Ven, James D; Northrop, William; McCabe, Kieran.
In: Journal of Mechanical Design, Transactions Of the ASME, Vol. 137, No. 2, 024501, 01.02.2015.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Integrated Mechanical and Thermodynamic Optimization of an Engine Linkage Using a Multi-Objective Genetic Algorithm
AU - Sullivan, Thomas A.
AU - Van De Ven, James D
AU - Northrop, William
AU - McCabe, Kieran
PY - 2015/2/1
Y1 - 2015/2/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84940566327&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84940566327&partnerID=8YFLogxK
U2 - 10.1115/1.4029220
DO - 10.1115/1.4029220
M3 - Article
AN - SCOPUS:84940566327
VL - 137
JO - Journal of Mechanical Design - Transactions of the ASME
JF - Journal of Mechanical Design - Transactions of the ASME
SN - 1050-0472
IS - 2
M1 - 024501
ER -