Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)

Numerical Optimisation of Shot Peening Process on a Steam Turbine Blade

Authors
S. Chen, D A Wood Desai, Ps Heyns, F. Pietra
Corresponding Author
S. Chen
Available Online June 2017.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
Part of series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
978-94-6252-387-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/icmia-17.2017.17How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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
PB  - Atlantis Press
SP  - 94
EP  - 99
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-17.2017.17
DO  - https://doi.org/10.2991/icmia-17.2017.17
ID  - Chen2017/06
ER  -