"研究云计算在轴承转子系统振动及油膜力计算中的应用"

The study of self-excited vibration and oil film force calculation methods in cloud computing-bearing-rotor systems is crucial for ensuring the reliability and safety of rotating machinery. The rotor bearing system is the backbone of rotating machinery, and the nonlinearity of the oil film force in the hydrodynamic bearing makes the system a nonlinear dynamic system. Analyzing the nonlinear phenomena in the rotor-bearing system and developing accurate computing models for the nonlinear oil film force are essential tasks in improving the reliability and safety of rotating machinery. By leveraging cloud computing technology, researchers can enhance the accuracy and efficiency of these calculations, leading to more robust designs and improved performance in rotating machinery systems. Through the collaboration of experts in cloud computing and mechanical engineering, innovative solutions can be developed to address the challenges posed by self-excited vibration and oil film force in rotor-bearing systems. This interdisciplinary approach holds great promise for advancing the field and ensuring the continued success of rotating machinery in various industrial applications.