Development of a stochastic dynamical model for hermetic compressor׳s components with experimental investigation. (August 2016)

• Record Type: Journal Article
• Authors: Fontanela, F.; Silva, O.M.; Lenzi, A.; Ritto, T.G.
• Is Part Of: Mechanical systems and signal processing. Volume 76/77(2016)
• Page Start: 712
• Page End: 728
• Publication Date: 2016-08
• Subjects: Hermetic compressors -- Stochastic models -- Nonparametric probabilistic approach -- Inverse stochastic problem -- Uncertainty propagation; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2016.01.007
• Languages: English
• ISSNs: 0888-3270

Abstract

Abstract: The analysis of household compressor's components is typically evaluated by using mathematical-mechanical models, and many decisions are taken based on simulations. However, such an investigation is usually performed in a deterministic framework, which cannot consider manufacturing variabilities and epistemic uncertainties. In this paper, a stochastic structural model that considers data and model uncertainties is developed for a discharge pipe connected to a hermetic compressor's shell. An experimental test rig is constructed to test each part separately, and an identification strategy is proposed to fit the stochastic model to experimental results. Finally, the impact of the uncertainties in each structural component on the dynamical responses of the whole system is investigated. It turns out that: (1) the proposed stochastic dynamical model presented very good results when compared to the experimental responses, and (2) uncertainties in the discharge pipe model play an important role in the coupled system dynamics. Abstract : Highlights: Hermetic compressor׳s components stochastic model. Test rig and dynamical response variability. Inverse stochastic model identification. Craig–Bampton and nonparametric probabilistic approach at the component level. Compressor׳s shell responses are not robust to uncertainties in the discharge pipe model.