Pedro Jacinto Paramo Kañetas

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Academic Career Length

7Years (2020-Present)

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

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3 November 2020 in Metals

Journal Article

EBSD Study of Delta-Processed Ni-Based Superalloy

Pedro Jacinto Paramo Kañetas

Jessica Calvo

Pablo Rodriguez-Calvillo

José-María Cabrera

Marco Zamora Antuñano

Martha Patricia Guerrero-Mata

Nickel-based superalloys are extensively used in the aerospace and power generation industries due to their excellent mechanical properties at elevated temperatures and good corrosion resistance. Typically, these alloys require accomplishing critical standards during their manufacturing process. In this study, an Inconel 718 (IN718) Ni-based superalloy was subjected to a delta-processing treatment (DP718) and subsequently deformed at high temperature. Samples were compressed below and above the δ-solvus temperature at two different strain rates of 0.001 s⁻¹ and 0.01 s⁻¹. A detailed microstructural characterization was carried out by the electron backscattered diffraction technique (EBSD). Kikuchi patterns and the orientation relationship of the δ-phase were identified. For samples deformed above the δ-solvus at 0.01 s⁻¹, an increase in the percentage of low angle grain boundaries (LAGB) within deformed grains and a decrease in high angle grain boundaries (HAGB) were observed. Comprehensive observation of the microstructural evolution of IN718 subjected to DP718 using orientation map images was also performed.

27 February 2023 in Energies

Journal Article

A Wind Turbine Vibration Monitoring System for Predictive Maintenance Based on Machine Learning Methods Developed under Safely Controlled Laboratory Conditions

David Pérez-Granados

Mauricio Ortega-Ruiz

Joel Moreira Acosta

Sergio Arturo Gama Lara

Roberto Adrián González Domínguez

Pedro Jacinto Paramo Kañetas

Wind energy is one of the most relevant clean energies today, so wind turbines must have good health and be reliable in operation. Current wind turbines have slender and elastic structures that can be easily damaged through vibrations and compromise their health; therefore, vibration monitoring is essential to ensure safe operation. Here, we present a method for simple wind turbine vibration monitoring in the laboratory by means of an accelerometer placed on a weathervane under different scenarios, with recording of different amplitudes of vibrations caused at a constant speed of 10 km/h. The variables, trends, and data captured during vibration monitoring were then used to implement a prediction system of synthetic failure using machine learning methods such as: Medium Trees, Cubic SVN, Logistic Regression Kernel, Optimized Neural Network, and Bagged Trees, with the last demonstrating an accuracy of up to 0.87%.

1 March 2021 in Materials Characterization

Journal Article

Analysis of strain-induced precipitates by delta-processing in Inconel 718 superalloy

Pedro Jacinto Paramo Kañetas

Utkudeniz Ozturk

Jessica Calvo

Martha Patricia Guerrero-Mata

Marco Zamora Antuñano

José-María Cabrera

13 July 2020 in Processes

Journal Article

Electrochemical Hydrogen Production Using Separated-Gas Cells for Soybean Oil Hydrogenation

Jorge Esquerre Verastegui

Marco Zamora Antuñano

Juvenal Rodriguez

RAÚL GARCIA GARCIA

Pedro Jacinto Paramo Kañetas

Daniel Larrañaga

Although hydrogen is the most abundant element in the universe, it is not possible to find it in its purest state in nature. In this study, two-stage experimentation was carried out. The first stage was hydrogen production. The second stage was an electrochemical process to hydrogenate soybean oil in a PEM fuel cell. In the fist stage a Zirfon Perl UTP 500 membrane was used in an alkaline hydrolizer of separated gas to produce hydrogen, achieving 9.6 L/min compared with 5.1 L/min, the maximum obtained using a conventional membrane. The hydrogen obtained was used in the second stage to feed the fuel cell hydrogenating the soybean oil. Hydrogenated soybean oil showed a substantial diminished iodine index from 131 to 54.85, which represents a percentage of 58.13. This happens when applying a voltage of 90 mV for 240 min, constant temperature of 50 °C and one atm. This result was obtained by depositing 1 mg of Pt/cm

^{2}

in the cathode of the fuel cell. This system represents a viable alternative for the use of hydrogen in energy generation.

23 June 2023 in Processes

Journal Article

Failure Characterization and Analysis of a Sport Utility Vehicles SUV Rear Door Damper Made by Nylon as Structural Element

Jorge Cruz-Salinas

Pedro Jacinto Paramo Kañetas

Gonzalo Valdovinos-Chacón

Nestor Mendez

Marco Zamora Antuñano

Sergio Arturo Gama Lara

In this investigation, an automotive component made of nylon as a structural element was studied by several characterization techniques to identify material properties. Firstly, a Fourier transform infrared spectroscopy (FTIR) was carried out to obtain information about composition, then, differential scanning calorimetry (DSC) was used to extract useful information on sample thermal behavior. The humidity and volatile materials percentage could be assessed by thermogravimetry analysis (TGA). Morphology and topography were carried out by optical microscopy, moreover, X-ray Tomography allows it to display the sample’s inner part. Characterization shows that the component could have been contaminated or exposed to conditions that promote degradation after the manufacturing process. Finally, computerized X-ray tomography displayed that both samples showed a difference in porosity in a fractured sample and a healthy sample. All the above implies a change in the mechanical integrity of the fractured material but might not omit the fact that it could have been subjected to any type of impact or mechanical effort.

1 July 2024 in EDULEARN Proceedings

Conference Paper

INTERDISCIPLINARY PHYSICS LEARNING THROUGH DESIGN AND CONSTRUCTION OF REMOTELY OPERATED VEHICLES: A PROJECT-BASED STEM APPROACH

Ivonne Yznaga-Blanco

Pedro Jacinto Paramo Kañetas

Felipe Hernández Rodríguez

About Me

PEDRO JACINTO PÁRAMO KAÑETAS: Professor-researcher in Industrial Mechanical Engineering at the Universidad del Valle de México; Coordinator of the Center for Research, Innovation and Technological Development-Coyoacán (CIIDETEC-Coyoacán); Post-doctorate at the Polytechnic University of Catalonia, Spain 2015 - 2017; SUMMA CUM LAUDE Ph.D. in Materials Engineering from the Autonomous University of Nuevo León, Mexico 2015; Master of Science in Mechanical Engineering with a Specialty in Materials from the Autonomous University of Nuevo León, Mexico 2011; Mechanical and Electrical Engineering from the Autonomous University of Nuevo León, Mexico 2009. Research lines are directly related to the forging of superalloys for the production of seamless rings used in the production of turbines in the aerospace industry, forming of metallic materials, heat treatments, phase transformations, macro, and microstructural characterization, the kinetics of precipitation, modeling of stress-strain curves and simulation of microstructural evolution of metallic materials, and vibration analysis in the production of wind energy and renewable energy; Member of the National System of Researchers, level 1, Mexico (SNI).

Pedro Jacinto Paramo Kañetas

Pedro Jacinto Paramo Kañetas

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