@inproceedings{4d1b835a1d9e47c8b6185460217a4e5a,
title = "A Modeling Method Supporting Turbine Blade Structure Design",
abstract = "Traditional feature-based turbine blade models can match the needs of geometric modeling but could hardly meet the requirements of structural design model for simulation analysis and manufacturing. These requirements are taken into consideration as well as geometric representation in parametric design process. An improved turbine blade parametric modeling method is proposed and a system structure of blade modeling process supporting turbine blade structure design is devised. Eventually, a turbine blade parametric modeling system is constructed to verify the feasibility of the proposed modeling method and system structure. Experiments show that the parametric modeling method proposed can make geometric models better support structure design and has certain reference value to the creation of high quality digital models.",
keywords = "Parametric modeling, Structure design, Turbine blade",
author = "Tian Wang and Bifu Hu and Ping Xi and Jixing Li",
note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG.; International Conference on Mechatronics and Intelligent Robotics, ICMIR 2017 ; Conference date: 20-05-2017 Through 21-05-2017",
year = "2018",
doi = "10.1007/978-3-319-70990-1\_28",
language = "英语",
isbn = "9783319709895",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "189--195",
editor = "Feng Qiao and John Wang and Srikanta Patnaik",
booktitle = "Recent Developments in Mechatronics and Intelligent Robotics - Proceedings of the International Conference on Mechatronics and Intelligent Robotics, ICMIR 2017",
address = "德国",
}