Vibration suppression method for robot abrasive belt polishing of narrow space parts
摘要
ObjectivesWith the rapid development of the aviation industry, the surface quality requirements for critical aero-engine components such as integrally bladed disks and integrally bladed rotors have increased. These components have narrow blade passages and poor accessibility, making traditional grinding tools prone to interference. Moreover, the weak stiffness of thin-walled parts and the grinding system can cause severe vibrations during robotic grinding, leading to surface defects and irreversible damage, thus limiting processing quality. This study proposes a vibration suppression method for thin-walled parts in confined spaces to reduce grinding vibrations and improve surface quality and stability. MethodsA combined approach of theoretical modeling, tool optimization, and experimental validation is used. First, a dynamic model of robotic grinding for thin-walled parts is established, considering both flutter and forced vibrations, to identify key process parameters affecting vibration stability. A passive vibration control method is then applied by adding a spring damper to the traditional belt grinder to increase system damping and by downsizing the tool for better accessibility. Finally, orthogonal experiments are designed to optimize key process parameters and validate the vibration suppression effect of the optimized belt grinder. ResultsThe dynamic model indicates that contact force, belt speed, feed rate, and system damping significantly affect vibration stability. Analysis of the forced vibration model shows that damping effectively reduces vibration amplitude near resonance frequencies. Experimental vibration signals shows that the optimized belt grinder reduces vibration amplitude by approximately 38.8% compared to the traditional one. Mean analysis of vibration experiments reveals that belt speed and belt joint stiffness negatively correlate with vibration stability, while contact force and feed rate show a decreasing-increasing trend. Range analysis i