Washing machine dynamic model to prevent tub collision during transient state

Sánchez-Tabuenca, B. (Universidad de Zaragoza) ; Galé, C. (Universidad de Zaragoza) ; Lladó, J. (Universidad de Zaragoza) ; Albero, C. (Universidad de Zaragoza) ; Latre, R.

Resumen: In horizontal-axis washing machines, the front gasket as well as the damping system are crucial owing to the possible collision of the tub with the housing during the transient period. However, most dynamic models for predicting tub motion focus on the steady state and consider only the suspension system without including the gasket. We conducted an experimental study to analyze the effect of the gasket on the transient motion of the tub. The results obtained indicate the necessity of implementing the gasket in the multibody model of a washing machine to accurately predict the tub behavior during this period. The gasket model is formed by a combination of Voigt elements. Stiffness parameters are determined using a load cell, and damping factors are estimated using a process that integrates Adams/View, Matlab optimization algorithms, and displacement measurements that are taken using accelerometers. A D-optimal design used to predict the effect of the gasket parameters reveals that the tub displacement is most sensitive to the changes in linear stiffness in the transversal direction. Finally, the model of the gasket provides a better approach for predicting the tub movement during resonance that can be used in the design phase to avoid tub collision.

Idioma: Inglés

DOI: 10.3390/s20226636

Año: 2020

Publicado en: Sensors 20, 22 (2020), 6636 [1-17]
ISSN: 1424-8220

Factor impacto JCR: 3.576 (2020)

Categ. JCR: INSTRUMENTS & INSTRUMENTATION rank: 14 / 64 = 0.219 (2020) - Q1 - T1
Categ. JCR: CHEMISTRY, ANALYTICAL rank: 26 / 83 = 0.313 (2020) - Q2 - T1
Categ. JCR: ENGINEERING, ELECTRICAL & ELECTRONIC rank: 82 / 273 = 0.3 (2020) - Q2 - T1

Factor impacto SCIMAGO: 0.636 - Analytical Chemistry (Q2) - Atomic and Molecular Physics, and Optics (Q2) - Biochemistry (Q2) - Medicine (miscellaneous) (Q2) - Information Systems (Q2) - Instrumentation (Q2) - Electrical and Electronic Engineering (Q2)

Financiación: info:eu-repo/grantAgreement/ES/DGA/E41-20R
Financiación: info:eu-repo/grantAgreement/ES/DGA/T19-20R
Financiación: info:eu-repo/grantAgreement/ES/MCIU/PID2019-104263RB-C43

Tipo y forma: Artículo (Versión definitiva)

Área (Departamento): Área Estadís. Investig. Opera. (Dpto. Métodos Estadísticos)
Área (Departamento): Área Ingeniería Mecánica (Dpto. Ingeniería Mecánica)