Rapid Prediction Method for Crankshaft dynamic balancing Based on SolidWorks

As the core component of high-speed power systems such as internal combustion engines and compressors, the crankshaft’s dynamic balancing performance is a key factor influencing overall machine vibration, noise and operation reliability of the whole machine. In response to the problem whereby the traditional dynamic balancing correction method relies on empirical formulas and repeated trial weights, resulting in a long design cycle, this paper proposes a rapid prediction and optimized design method for the dynamic balancing performance of crankshafts based on SolidWorks. The method first determines the center of mass and the moment of inertia of the crankshaft through mass properties analysis, and then uses the motion simulation module for dynamic simulation to accurately predict the imbalance force and moment. In order to overcome the common numerical convergence difficulties and oscillations in the result curves in simulation, this study introduces a series of optimization strategies including optimal parameter selection, frame rate adjustment and high-precision contact algorithms, significantly improving the accuracy and reliability of the model. The application results show that this method can successfully reduce the imbalance force of the crankshaft within 0.1 N. The simulation results show that this method has a very high prediction accuracy for the crankshaft balanced using the two-plane balance method, providing an efficient and reliable simulation solution for the dynamic balancing design of the crankshaft.