JOSE SERGIO PACHECO-CEDEÑO

Prof. JOSE SERGIO PACHECO-CEDEÑO

Escuela de Ingeniería y Ciencias Región Centro, Tecnológico de Monterrey campus Morelia, Av. Montaña Monarca 1340, Michoacán C.P. 58350, Mexico;
orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

View All Publications
23 May 2019 in Journal of Alloys and Compounds
Verified
Journal Article
Closed access
EEE.D. Palma- Elvira
E.D. Palma- Elvira
PGPedro Garnica
Pedro Garnica
JPJOSE SERGIO PACHECO-CEDEÑO
JOSE SERGIO PACHECO-CEDEÑO
JHJosé Luis Hernández-Rivera
José Luis Hernández-Rivera
MRM. Ramos-Azpeitia
M. Ramos-Azpeitia
JHJ.L. Hernández-Riverae
J.L. Hernández-Riverae

10 August 2023 in International Journal of Refrigeration
Verified
Journal Article
Closed access
JPJOSE SERGIO PACHECO-CEDEÑO
JOSE SERGIO PACHECO-CEDEÑO
JRJosé-Luis Rodríguez-Muñoz
José-Luis Rodríguez-Muñoz
José de Jesús Ramírez-MinguelaJosé de Jesús Ramírez-Minguela
José de Jesús Ramírez-Minguela
Vicente Pérez-GarcíaVicente Pérez-García
Vicente Pérez-García

9 March 2023 in Wear
Verified
Journal Article
Closed access
JQJosue Quintero-Ortiz
Josue Quintero-Ortiz
FGFrancisco V Guerra
Francisco V Guerra
ABArnoldo Bedolla-Jacuinde
Arnoldo Bedolla-Jacuinde
CLCarlos Alberto Leon-Patiño
Carlos Alberto Leon-Patiño
JPJOSE SERGIO PACHECO-CEDEÑO
JOSE SERGIO PACHECO-CEDEÑO

20 May 2021 in Crystals
Verified
Journal Article
Open access
PDF file
AGAna Claudia González-Castillo
Ana Claudia González-Castillo
JCJose de jesus Cruz
Jose de jesus Cruz
PGPedro Garnica
Pedro Garnica
PGPedro Garnica
Pedro Garnica
C G Garay-ReyesC G Garay-Reyes
C G Garay-Reyes
JHJosé Luis Hernández-Rivera
José Luis Hernández-Rivera
Computational simulation has become more important in the design of thermomechanical processing since it allows the optimization of associated parameters such as temperature, stresses, strains and phase transformations. This work presents the results of the three-dimensional Finite Element Method (FEM) simulation of the hot rolling process of a medium Mn steel using DEFORM-3D software. Temperature and effective strain distribution in the surface and center of the sheet were analyzed for different rolling passes; also the change in damage factor was evaluated. According to the hot rolling simulation results, experimental hot rolling parameters were established in order to obtain the desired microstructure avoiding the presence of ferrite precipitation during the process. The microstructural characterization of the hot rolled steel was carried out using optical microscopy (OM), scanning electron microscopy (SEM) and X-ray diffraction (XRD). It was found that the phases present in the steel after hot rolling are austenite and α′-martensite. Additionally, to understand the mechanical behavior, tensile tests were performed and concluded that this new steel can be catalogued in the third automotive generation.

25 July 2024 in Mathematics
Verified
Journal Article
Open access
PDF file
Isidro Jesús González-HernándezIsidro Jesús González-Hernández
Isidro Jesús González-Hernández
Luis Carlos Méndez GonzálezLuis Carlos Méndez González
Luis Carlos Méndez González
Rafael Granillo-MacíasRafael Granillo-Macías
Rafael Granillo-Macías
JRJosé-Luis Rodríguez-Muñoz
José-Luis Rodríguez-Muñoz
JPJOSE SERGIO PACHECO-CEDEÑO
JOSE SERGIO PACHECO-CEDEÑO
In this paper, we generalize two new statistical distributions, to improve the ability to model failure rates with non-monotonic, monotonic, and mainly bathtub curve behaviors. We call these distributions Generalized Powered Uniform Distribution and MOE-Powered Uniform. The proposed distributions’ approach is based on incorporating a parameter k in the power of the values of the random variables, which is associated with the Probability Density Function and includes an operator called the Powered Mean. Various statistical and mathematical features focused on reliability analysis are presented and discussed, to make the models attractive to reliability engineering or medicine specialists. We employed the Maximum Likelihood Estimator method to estimate the model parameters and we analyzed its performance through a Monte Carlo simulation study. To demonstrate the flexibility of the proposed approach, a comparative analysis was carried out on four case studies with the proposed MOE-Powered Uniform distribution, which can model failure times as a bathtub curve. The results showed that this new model is more flexible and useful for performing reliability analysis.

1 February 2020 in Metals
Verified
Journal Article
Open access
PDF file
PVPerla Julieta Cerda Vázquez
Perla Julieta Cerda Vázquez
JPJOSE SERGIO PACHECO-CEDEÑO
JOSE SERGIO PACHECO-CEDEÑO
MRMitsuo Osvaldo Ramos-Azpeitia
Mitsuo Osvaldo Ramos-Azpeitia
PGPedro Garnica
Pedro Garnica
VGVicente Garibay-Febles
Vicente Garibay-Febles
JHJosé Luis Hernández-Rivera
José Luis Hernández-Rivera
A novel medium-Mn steel microstructure with 0.1 wt.% Nb was designed using Thermo-Calc and JMatPro thermodynamic simulation software. The pseudo-binary equilibrium phase diagram and time–temperature transformation (TTT) and continuous cooling transformation (CCT) diagrams were simulated in order to analyze the evolution of equilibrium phases during solidification and homogenization heat treatment. Subsequently, the steel was cast in a vacuum induction furnace with the composition selected from simulations. The specimens were heat-treated at 1200 °C and water-quenched. The results of the simulations were compared to the experimental results. The microstructure was characterized using optical microscopy (OM) and scanning electron microscopy (SEM). We found that the as-cast microstructure consisted mainly of a mixture of martensite, ferrite, and a low amount of austenite, while the microstructure in the homogenization condition corresponded to martensite and retained austenite, which was verified by X-ray diffraction tests. In order to design further production stages of the steel, the homogenized samples were subjected to hot compression testing to determine their plastic flow behavior, employing deformation rates of 0.083 and 0.83 s−1, and temperatures of 800 and 950 °C.