Stability Analysis of Self-Balancing of Rotors

In mechanical systems, rotor imbalance is a serious problem that reduces operating life and causes excessive vibrations. This study uses MATLAB-based simulations to address rotor imbalance of a rigid Jeffcott rotor and presents a novel balancing approach. To counter eccentricity-induced unbalance, the approach uses three balancing masses positioned at predetermined angular intervals. Three-dimensional surface plots, which graphically depict equilibrium points and stable zones for balancing, are a crucial component of this new balancing strategy. Force-time graphs are used to examine the dynamic behavior of unbalanced forces and show changes in unbalance force magnitudes in the process of attaining balanced condition. Significant reductions in vibration amplitudes and balancing time are demonstrated by the results, leading to enhanced system stability and reliability. This innovative approach offers real-time adaptability feature which can address balancing problems without stopping the machine. The findings present a practical framework for improving the performance and reliability of rotating machinery, which could be applied in various industrial settings to enhance efficiency and productivity. This work demonstrates how computational tools can significantly advance the design of rotor balancing systems, ensuring that they operate efficiently and remain stable over time.