Research on Optimization for the Piston Pin and the Piston Pin Boss

Yanxia Wang*, Hui Gao
Shandong University of Technology, Zibo 255049, Shandong, China.

© 2010 Wang and Gao

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: ( This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Shandong University of Technology, Zibo 255049, Shandong, China; Tel: +86-533-2782616(office), +86-15022634 (Mobile); Fax: +86-533-2786837; E-mails:,


Due to the fatigue failure and the fracture injury occurs under the alternative mechanical loads, the optimal design of the piston pin and the piston pin boss is presented depending on the FEA static analysis. The optimization is carried out using the Genetic Algorithm (GA), and the piston noncircular pin hole is used to further reduce the stress concentration on the upper end of the piston pin seat.

Keywords: Genetic Algorithm (GA), piston pin, stress concentration, noncircular pin hole.