Demetrio Pérez Vigueras

Dr. Demetrio Pérez Vigueras


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 November 2023 in Machines
Verified
Journal Article
Open access
PDF file
DVDemetrio Pérez Vigueras
Demetrio Pérez Vigueras
JCJorge Colin-Ocampo
Jorge Colin-Ocampo
Andres Blanco OrtegaAndres Blanco Ortega
Andres Blanco Ortega
Rafael Campos AmezcuaRafael Campos Amezcua
Rafael Campos Amezcua
CMCuauhtémoc Mazón-Valadez
Cuauhtémoc Mazón-Valadez
SLSaulo Jesus Landa-Damas
Saulo Jesus Landa-Damas
This paper is a review of the literature about CFD modeling and analysis of journal, thrust, and aerostatic bearings; the advantages and disadvantages of each are specified, and the bearing problems that have been analyzed are discussed to improve their designs and performance. A CFD transient analysis of journal bearings was conducted using the dynamic mesh method together with movement algorithms while keeping a structured mesh of a good quality in the ANSYS Fluent software to determine the equilibrium position of the journal and calculate the dynamic coefficients. Finally, areas of opportunity for analyzing and designing fluid film bearings to improve their performance are proposed.

15 July 2023 in Mathematics
Verified
Journal Article
Open access
PDF file
SLSaulo Jesus Landa-Damas
Saulo Jesus Landa-Damas
JCJorge Colin-Ocampo
Jorge Colin-Ocampo
Andres Blanco OrtegaAndres Blanco Ortega
Andres Blanco Ortega
APArturo Abundez Pliego
Arturo Abundez Pliego
JLJosé Gabriel Mendoza Larios
José Gabriel Mendoza Larios
DVDemetrio Pérez Vigueras
Demetrio Pérez Vigueras
In this paper, a mathematical model is presented to identify the direct dynamic coefficients (kxx, kzz, cxx, czz) of a pressurized bearing in a rotor-bearing system. The presented mathematical model for online identification is the result of the application of the algebraic identification approach to a two-degree-of-freedom rotor-bearing model. The proposed identification model requires only the vibration response as the input data. The performance of the model was assessed by theoretically and experimentally testing the proposed identifier at different shaft frequencies and, for the experimental test, a pressurized bearing that has hydrodynamic and hydrostatic characteristics at a support pressure of 10 psi was considered. The working fluid is Chevron GST 32 oil. The results show negligible differences between the vibration response of the experimental rotor and those obtained numerically using the identified direct dynamic coefficients of the pressurized bearing. In addition, it is observed that the algebraic identifier determines the identified parameters in a time less than 0.2 s. The proposed identifier can be used in other types of bearings, which is a great advantage over other identifiers.