000097466 001__ 97466
000097466 005__ 20230728141608.0
000097466 0247_ $$2doi$$a10.3390/s20226636
000097466 0248_ $$2sideral$$a121709
000097466 037__ $$aART-2020-121709
000097466 041__ $$aeng
000097466 100__ $$0(orcid)0000-0003-3909-5599$$aSánchez-Tabuenca, B.$$uUniversidad de Zaragoza
000097466 245__ $$aWashing machine dynamic model to prevent tub collision during transient state
000097466 260__ $$c2020
000097466 5060_ $$aAccess copy available to the general public$$fUnrestricted
000097466 5203_ $$aIn 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.
000097466 536__ $$9info:eu-repo/grantAgreement/ES/DGA/E41-20R$$9info:eu-repo/grantAgreement/ES/DGA/T19-20R$$9info:eu-repo/grantAgreement/ES/MCIU/PID2019-104263RB-C43
000097466 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000097466 590__ $$a3.576$$b2020
000097466 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b14 / 64 = 0.219$$c2020$$dQ1$$eT1
000097466 591__ $$aCHEMISTRY, ANALYTICAL$$b26 / 83 = 0.313$$c2020$$dQ2$$eT1
000097466 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b82 / 273 = 0.3$$c2020$$dQ2$$eT1
000097466 592__ $$a0.636$$b2020
000097466 593__ $$aAnalytical Chemistry$$c2020$$dQ2
000097466 593__ $$aAtomic and Molecular Physics, and Optics$$c2020$$dQ2
000097466 593__ $$aBiochemistry$$c2020$$dQ2
000097466 593__ $$aMedicine (miscellaneous)$$c2020$$dQ2
000097466 593__ $$aInformation Systems$$c2020$$dQ2
000097466 593__ $$aInstrumentation$$c2020$$dQ2
000097466 593__ $$aElectrical and Electronic Engineering$$c2020$$dQ2
000097466 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000097466 700__ $$0(orcid)0000-0002-5630-3719$$aGalé, C.$$uUniversidad de Zaragoza
000097466 700__ $$0(orcid)0000-0002-4367-3729$$aLladó, J.$$uUniversidad de Zaragoza
000097466 700__ $$aAlbero, C.$$uUniversidad de Zaragoza
000097466 700__ $$aLatre, R.
000097466 7102_ $$12007$$2265$$aUniversidad de Zaragoza$$bDpto. Métodos Estadísticos$$cÁrea Estadís. Investig. Opera.
000097466 7102_ $$15004$$2545$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Ingeniería Mecánica
000097466 773__ $$g20, 22 (2020), 6636 [1-17]$$pSensors$$tSensors$$x1424-8220
000097466 8564_ $$s940720$$uhttps://zaguan.unizar.es/record/97466/files/texto_completo.pdf$$yVersión publicada
000097466 8564_ $$s449372$$uhttps://zaguan.unizar.es/record/97466/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000097466 909CO $$ooai:zaguan.unizar.es:97466$$particulos$$pdriver
000097466 951__ $$a2023-07-28-12:02:19
000097466 980__ $$aARTICLE