Axiomatic Design Method for Supercritical Rotor Dynamics Integrating Nonlinear Deep Knowledge
Abstract This paper integrates nonlinear deep knowledge with an axiomatic design method for supercritical rotor dynamics in order to overcome the limitation of rotor dynamic design for supercritical rotating machineries. Design methods based on linear theory usually lead to shafting failures in engineering practice, since nonlinear theory has not been well incorporated into rotor dynamic design. This method realizes a four level decomposition of the functional requirements and mapping of the corresponding design parameters in nonlinear dynamic design for a supercritical rotor bearing system. In total, 20 design parameters are integrated into the system. A 20x20 axiomatic design matrix is then developed, which is used to obtain a dynamic design flowchart of the system. Under the guidance of the design flowchart, a single span flexible symmetric rotor bearing system with a single disk is dynamically designed and analyzed. The results show that the axiomatic design method for supercritical rotor dynamics optimizes the design process, the design efficiency and the design results.