基于驻留时间控制的压气机叶片前缘砂带磨削研究OA北大核心CSTPCD
Research on Compressor Blade Leading Edge Abrasive Belt Grinding Based on Dwell Time Control
提出了一种面向叶片前缘廓形精准控制的机器人砂带磨削加工方法.以轴流压气机叶片为研究对象,结合半赫兹接触理论和有限元仿真获取了柔性磨具和叶片前缘的接触区域内的应力分布,基于Preston方程求解材料去除函数.遍历刀位点对控制点的磨削深度,建立全局材料去除矩阵,搭建驻留时间求解非线性方程组.采用带有阻尼因子的Tikhonov正则化消除大型稀疏病态矩阵对求解精度波动的影响,将所求驻留时间转换为对应刀位点的进给速度,生成机器人加工代码.磨削试验结果表明,基于驻留时间控制的机器人砂带磨削方法能够实现给定允差范围内叶片前缘廓形的精准加工,型面误差可以控制在0.02 mm以内.
A robotic belt grinding method for accurate control of the blade leading edge profile was proposed in this paper.The stress distribution in the contact area between the flexible abrasive tool and the leading edge of the blade was obtained by combining the semi-Hertzian contact theory and finite element simulation,and the material removal function was solved based on the Preston equation.The global material removal matrix was established by traversing the grinding depth of the control point.The resident time was set up to solve the nonlinear equations.Tikhonov regularization with a damping factor was used to eliminate the influence of a large sparse-ill-conditioned matrix on the fluctuation of solving accuracy,and then the desired dwell time was converted to the feed speed of the corresponding cutter point so as to generate the robot machining code.The grinding experiment results show that the robotic belt grinding method based on resident time control can achieve accurate machining of the leading edge profile of the blade within a given tolerance range,and the profile error can be controlled within 0.02 mm.
黄云;桂林;秦涛;王文玺;邹莱;李恒
重庆大学 机械与运载工程学院,重庆 400044||高端装备机械传动全国重点实验室,重庆 400044重庆大学 机械与运载工程学院,重庆 400044中国航发南京轻型航空动力有限公司,江苏 南京 211100
机械工程
压气机砂带柔性磨削前缘廓形驻留时间
compressorabrasive beltsflexible grindingleading edge profiledwell time
《湖南大学学报（自然科学版）》 2024 (004)
1-9 / 9
重庆市自然科学基金创新群体项目(CSTC2019JCYJ-CXTTX0003),Innovation Group Science Fund of Chongqing Natural Sci-ence Foundation(CSTC2019JCYJ-CXTTX0003);中央高校基本科研业务费专项资金资助项目(2023CDJXY-022),Fundamental Research Funds for the Central Universities(2023CDJXY-022);重庆市研究生科研创新项目(CYB23021),Chongqing Graduate Research Innovation Project(CYB23021)
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