| Issue |
MATEC Web Conf.
Volume 67, 2016
International Symposium on Materials Application and Engineering (SMAE 2016)
|
|
|---|---|---|
| Article Number | 03030 | |
| Number of page(s) | 8 | |
| Section | Chapter 3 Information Technology | |
| DOI | https://doi.org/10.1051/matecconf/20166703030 | |
| Published online | 29 July 2016 | |
Numerical Simulation on Stress Distribution and Deformation of Large Hydro Turbine Blade with Complex Surface during Heat Treatment Process
1 Harbin Research Institute of Large Electrical Machinery, Harbin, 150040, China
2 State Key Laboratory of Hydro-power Equipment, Harbin, 150040, China
3 National Engineering Research Center-Hydropower Equipment, Harbin, 150040, China
a clggn_0603@163.com
b guan429@126.com
c liuyi-hec@sohu.com
d jsnz@sina.com
e lijing_2651@163.com
f liuyx_hec@163.com
g 13936283233@163.com,
h wendaowei@hec-china.com
* Corresponding author: clggn_0603@163.com
A three dimensional finite element model of the heat treatment process of ZG06Cr13Ni4Mo stainless steel was established in this paper. The distribution of stress and deformation for large hydro turbine blade with complex surface during normalizing and tempering treatment has been simulated. The simulated results are consistent with the measured equivalent stress values by hole-drilling method, which indicates that the model is effective to predict the stress distribution of heat treated ZG06Cr13Ni4Mo material. Based on this model, the distribution law of stress field and deformation of the large hydro turbine blade of complex surface after the heat treatment were simulated. The established model provided a theoretical prediction method for designing of optimized complex surface blade and formulating a reasonable heat treatment process.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.