煤炭工程 ›› 2019, Vol. 51 ›› Issue (12): 182-185.doi: 10.11799/ce201912037

• 装备技术 • 上一篇    

矿井主通风机关键部件数字化逆向重构研究

杨杰   

  1. 中国矿业大学(北京)
  • 收稿日期:2019-03-18 修回日期:2019-04-02 出版日期:2019-12-20 发布日期:2020-05-11
  • 通讯作者: 杨杰 E-mail:329290727@qq.com

Study on the reverse digital reconstruction of key components of mine main fan

  • Received:2019-03-18 Revised:2019-04-02 Online:2019-12-20 Published:2020-05-11

摘要: 针对矿井主通风机关键部件在性能分析中存在结构参数不易获取,叶面曲度难以确定等问题,文章以逆向设计理论为基础,通过对模型重构原理与参数化建模方法的研究,提出一种表面特征点数字化提取与设计的逆向建模方法。首先完成风机叶片表面特征数据的数字化扫描并对数据进行预处理,然后提取特征截面轮廓线,并对其曲率特征点进行分析识别,通过生成截面样条曲线再进行曲面重构,实现矿井主通风机的关键部件逆向数字化重构,为风机关键结构参数无法获取的难题提供了一个有效解决途径。

关键词: 主通风机, 叶片参数, 逆向重构, 特征数据, 数据预处理

Abstract: In view of the difficulties in obtaining structural parameters and determining blade curvature which are the key components of mine main fan for performance analysis, this paper proposes a reverse modelling method for digital extraction and design of surface feature points based on the theory of reverse design and through the study of model reconstruction principle and parametric modelling method. Firstly,the digital scanning and the fan blade surface characteristics data of data are pre-processing, and then it extracts the characteristics of cross section contour line, and analyse its curvature characteristic points recognition, the surface reconstruction are processed by generating section spline curve. Finally, the reverse digital reconstruction of key components of mine main fan are realized, which provides an effective solution for the problem without the key structure parameters.