Numerical Optimisation of Shot Peening Process on a Steam Turbine Blade

DOI

10.2991/icmia-17.2017.17How to use a DOI?

Keywords

Shot peening, Turbine blade, Numerical optimisation.

Abstract

This article provides a broad and extensive literature survey on optimisation of shot peening process that have been developed and applied in the past decades and summarises the knowledge that has been gained and then points out the shortages of the important investigations in optimisation of shot peening process. On this basis, optimisation function is formulated and genetic algorithm is chosen to conduct the optimisation. This optimisation screens out the influential parameters and provides the weights of different parameters in terms of their influence of shot peening outputs.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - S. Chen
AU  - D A Wood Desai
AU  - Ps Heyns
AU  - F. Pietra
PY  - 2017/06
DA  - 2017/06
TI  - Numerical Optimisation of Shot Peening Process on a Steam Turbine Blade
BT  - Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
PB  - Atlantis Press
SP  - 94
EP  - 99
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-17.2017.17
DO  - 10.2991/icmia-17.2017.17
ID  - Chen2017/06
ER  -