Multi-objective system optimization method and experimental validation of a centralized squeeze film damper using a cell mapping method considering dynamic constraints

Abstract

This article presents a multi-objective optimal design method for a squeeze film damper (SFD) with centring spring. The proposed method is able to obtain the optimal design parameters for a flexible rotor system. The objectives are minimizing the amplitude of the disk and transmitted force, and maximizing the SFD effectiveness simultaneously. These objectives generally conflict with each other, and the optimal values of the design parameters, or Pareto set, are obtained using the cell mapping method for different rotor imbalances with dynamic constraints. Three SFDs are designed and manufactured based on the obtained Pareto set, and experiments are conducted. The experimental results correspond with numerical simulation results, and the conflicting nature between objectives is validated in the case study. The proposed multi-objective optimization algorithm offers a novel and effective tool for designing SFDs. Engineers can refer to an optimal solution set with strong robustness against different demands, rather than a single design.

KEYWORDS:

• Squirrel cage
• multi-objective optimization
• cell mapping
• experimental validation

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

The material in this article is based on work supported by grants from the National Natural Science Foundation of China [grant number 11902202], the Key Laboratory of Vibration and Control of Aero-Propulsion System Ministry of Education, Northeastern University [grant number VCAME201906] and Liaoning Provincial Department of Science and Technology [grant number 2019-BS-184].