航空发动机叶片型面加工误差可视化方法研究

推进技术 ›› 2019, Vol. 40 ›› Issue (1): 184-191.

航空发动机叶片型面加工误差可视化方法研究

黄智,李超,宋瑞,李凯,王洪艳

电子科技大学机械电子工程学院，四川成都 611731,电子科技大学机械电子工程学院，四川成都 611731,电子科技大学机械电子工程学院，四川成都 611731,电子科技大学机械电子工程学院，四川成都 611731,电子科技大学机械电子工程学院，四川成都 611731

发布日期:2021-08-15
基金资助:
国家自然科学基金( 51275078)；四川省科技支撑计划( 2016GZ0004)。

Research on Visualization Method in Machining Error for Turbine Blade Profile Surface of Aero-Engine

School of Mechatronics Engineering，University of Electronic Science and Technology of China，Chengdu 611731，China,School of Mechatronics Engineering，University of Electronic Science and Technology of China，Chengdu 611731，China,School of Mechatronics Engineering，University of Electronic Science and Technology of China，Chengdu 611731，China,School of Mechatronics Engineering，University of Electronic Science and Technology of China，Chengdu 611731，China and School of Mechatronics Engineering，University of Electronic Science and Technology of China，Chengdu 611731，China

Published:2021-08-15

摘要/Abstract

摘要： 叶片型面加工质量的科学检测是保证航空发动机叶片高气动性能的关键技术之一，针对目前叶片型面检测结果可视化程度低，且常规的数模比对方法难以对复杂扭曲叶片型面加工质量进行准确分析的现状，本文基于叶身型面的定义提出了具有节点层特征的自适应三角网格模型以及叶片型面主要加工误差的可视化分析方法 ,并以叶片型面为检测对象进行了验证分析。结果表明:该方法及其对应的软件系统能够对叶片截面型线轮廓度误差、扭曲变形误差、掠变形误差、弯变形误差以及截面型线轮廓超差量进行直观、准确的可视化分析，减少了原有截面特征检测报告中近 30%的文字数据，提高了检测结果的可视化程度，能够有效地协助检测人员完成叶片型面加工质量的分析和评定工作。

关键词: 航空发动机；叶片；型面检测；加工误差；可视化分析

Abstract: The scientific inspection of blade profile machining quality is one of the key technologies to en.sure the high aerodynamic performance of aero-engine turbine blades. In the view of fact that the current visual.ization inspection results of blade profile surface are low and it is difficult to analyze the machining error of bladeprofile accurately by the conventional 3D model comparison methods. Based on the definition of blade profile sur.face，an adaptive triangular mesh model with node layers feature and a visual analysis method of main machiningerror of blade surface was proposed，and an experimental study was carried out on the profile surface of a certaintype of blade. The results show that this method and its corresponding software system can visually and accuratelyvisualize the blade profile error，the distortion error，the swept deformation error，the bending deformation errorand the cross-section linear contour error. It reduces nearly 30% of the text information in the result of the bladefeature detection，and it can effectively assist the quality inspection personnel to carry out the analysis and evalu.ation work of machining quality of blade profile.

Key words: Aero-engine；Blade；Profile metrology；Machining error；Visualization analysis

黄智,李超,宋瑞,李凯,王洪艳. 航空发动机叶片型面加工误差可视化方法研究[J]. 推进技术, 2019, 40(1): 184-191.

HUANG Zhi,LI Chao,SONG Rui,LI Kai,WANG Hong-yan. Research on Visualization Method in Machining Error for Turbine Blade Profile Surface of Aero-Engine[J]. Journal of Propulsion Technology, 2019, 40(1): 184-191.

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