压气机叶片激光熔化沉积修复的机器人路径自动规划和试验研究

Laser Melting Deposition Repair for Compressor Blades:Robotic Path Automatic Planning and Experimental Research

针对航空发动机TC17高压压气机叶片服役损伤后的修复问题,本文基于工业机器人的激光熔化沉积路径生成策略,提出使用模型布尔运算来分析叶片损伤区域,并在RobotStudio离线编程软件中嵌入二次开发插件分别生成Zigzag轴向扫描、中心线偏移扫描和边缘螺旋扫描路径。路径的仿真和沉积形貌分析表明,在设定扫描速度5 mm/s、沉积层厚度0.3 mm、搭接率50%时,中心线偏移扫描在95.97%时间内保持速度稳定,折返点处的速度下降幅度更小,同时沉积后表面高度接近0.3 mm,高度波动方差更小,保持了较高的平整度。此外,矩形平板区域的沉积模拟和试验表明,类似Zigzag扫描的连续路径可以显著降低成形表面的残余应力。

This paper studies a laser melting deposition path generation strategy based on industrial robots to address the repair problem of aero-engine TC17 high-pressure compressor blades after service damage.This method can analyze the blade damage area with model Boolean operations and embeds a secondary development plug-in in the RobotStudio offline programming software to generate Zigzag-axial,centerline-offset,and edge-helical scanning paths.The path simulation and deposition topography analysis show that when the scanning speed is 5 mm/s,the deposition layer thickness is 0.3 mm,and the overlap ratio is 50%,the centerline-offset scanning path can maintain the speed stable for 95.97% of time,and the speed decline of turning point is tinier.Simultaneously,the formed height after deposition is close to 0.3 mm,and the height fluctuation variance is relatively small with excellent flatness.Furthermore,simulations and experiments on rectangular flat-plate regions show that a continuous path,such as Zigzag scanning path,can dramatically reduce residual stress on the formed surface.