涡轮叶片自动修复的多距离图像表面重建与外推

IECON '98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.98CH36200) Pub Date : 1998-08-31 DOI:10.1109/IECON.1998.722840

Xuejun Sheng, Mathias Kromker

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引用次数: 15

摘要

本文报告了一项正在进行的欧洲研究项目的结果，该项目旨在开发一种综合机电一体化系统，用于使用先进的3D传感和多轴数控铣削技术进行涡轮叶片维修。该系统的本质是能够自适应地生成涡轮叶片的数控铣削路径，这些路径可以显著地改变其指定的尺寸和形状。路径生成基于一种基于多幅距离图像自动重建叶片理想几何模型的重构外推算法，并对其进行了详细描述。

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Surface reconstruction and extrapolation from multiple range images for automatic turbine blades repair

This paper reports on the results of an ongoing European research project aiming to develop an integrated mechatronics system for turbine blades repair using advanced 3D sensing and multi-axis NC milling technology. The essence of the system is its capability of generating NC milling paths adaptively for turbine blades which can significantly vary from their nominative dimensions and shapes. The path generation is based on an reconstruction and extrapolation algorithm that automatically reconstructs the ideal geometric model of blades from multiple range images and is described in details.

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来源期刊

IECON '98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.98CH36200)

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