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Vibration suppression of a precision equipment thin-walled enclosure via an experimental-finite element hybrid modelling approach
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DOI：10.1088/1361-6501/ae6794.png)
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Abstract
En 中文
This paper presents a measurement-driven hybrid experimental-finite element modeling framework for the dynamic characterization and calibration of thin-walled enclosures in precision equipment. The core contribution lies in the systematic integration of high-precision experimental modal analysis as a quantitative benchmark for finite element model updating, with explicit quantification of measurement uncertainty, repeatability, and validation robustness throughout the calibration process. Following the Guide to the Expression of Uncertainty in Measurement, the expanded uncertainty (k = 2) of the identified natural frequencies is estimated as +/- 0.6-1.2 Hz. Three independent repeated tests yield a relative standard deviation <0.3%, and the average signal-to-noise ratio exceeds 35 dB. A formally defined model updating procedure-employing central composite design, quadratic response surface surrogate modeling, and genetic algorithm optimization-reduces the initial frequency error from >10% to <2% and achieves modal assurance criterion values exceeding 0.92 for all validated modes. This experimentally validated, high-fidelity model is subsequently employed as a predictive digital twin to identify structural weak areas and guide targeted design modifications. The successful suppression of resonance (critical frequency shift >10%, vibration amplitude reduction 42.3%) serves as experimental validation of the framework's predictive capability. The complete workflow-from sensor calibration and UQ to model updating and validation-is documented in sufficient detail to enable direct replication. This work provides a transparent, reproducible, and generalizable methodological paradigm for measurement-informed dynamic design of thin-walled assembled structures, with the specific engineering case serving as a validated demonstration of the framework's effectiveness.
Keywords:
hybrid modeling
experimental modal analysis
model updating
measurement uncertainty
thin-walled enclosures
vibration suppression
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