Facultad Regional Córdoba

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    Hidrogenación de tetralin sobre Ir-Pt-SBA-15. Parte 2: Optimización por Diseño de Experimentos.
    (Univesidsad Tecnológica Nacional, 2015) Vallés , Verónica Alejandra; Ledesma, Brenda Cecilia; Rivoira , Lorena Paola; Cussa , jorgelina; Anunziata , Oscar Alfredo; Beltramone , Andrea Raquel; Anunziata , Oscar Alfredo; Cussa , jorgelina; Rivoira , Lorena Paola; Ledesma, Brenda
    La Metodología Diseño de Experimentos - Superficie de Respuesta – se utiliza en este trabajo para modelar y optimizar 2 respuestas en la reacción de hidrogenación de tetralin a decalin usando un catalizador bimetálico Ir-Pt-SBA-15. En este estudio se analizó la influencia de la naturaleza del catalizador, la relación catalizador/sustrato y la temperatura de reacción como factores del diseño. Las respuestas analizadas fueron conversión a 3 y 5 horas Las Superficies de Respuesta fueron obtenidas mediante un diseño Box-Behnken a fin de encontrar la mejor combinación de los distintos parámetros para optimizar el proceso. La metodología estadística aplicada indica que las conversiones más altas de ambas respuestas, a 3 y 5 horas, se obtienen trabajando en el siguiente rango: Catalizador: 1% Ir y 0.7-0.9 %(p/p) Pt; Relación: 17-19 g cat/ mol TL y Temperatura: 200-220°C.
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    Hidrogenación de tetralin sobre Ir-Pt-SBA-15. Parte 1: Síntesis, caracterizacíon y actividad catalítica.
    (Univesidsad Tecnológica Nacional, 2015) Vallés , Verónica Alejandra; Ledesma, Brenda Cecilia; Rivoira , Lorena Paola; Cussa , jorgelina; Anunziata , Oscar Alfredo; Beltramone , Andrea Raquel; Anunziata , Oscar Alfredo; Cussa , jorgelina; Rivoira , Lorena Paola
    Se estudia aquí la hidrogenación de tetralin a decalin utilizando un catalizador bimetálico Ir-Pt SBA-15. En esta Parte se describe la síntesis de los catalizadores, la preparación de la matriz de SBA 15 y el método de co-impregnacion mediante el cual se incorporaron los metales en diferentes proporciones y carga total metalica. Los catalizadores fueron caracterizados por XRD, TEM, análisis fisicoquimicos, XPS, SEM y EDX. En la Parte 2 de este trabajo se analizará la influencia de la naturaleza del catalizador, la relación catalizador sustrato y la temperatura de reacción como factores de un Diseño de Experimentos para optimizar el proceso.
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    Síntesis y caracterización de un catalizador soportado iridio/platino-SBA-15 para su aplicación en la Hidrogenación de Tetralin.
    (Univesidsad Tecnológica Nacional, 2014) Vallés , Verónica Alejandra; Ledesma, Brenda Cecilia; Rivoira , Lorena Paola; Cussa , jorgelina; Anunziata , Oscar Alfredo; Beltramone, Andrea Raquel; Anunziata , Oscar Alfredo; Cussa , jorgelina; Rivoira , Lorena Paola; Ledesma, Brenda
    In this paper the effect of the dispersion of noble metals Ir and Pt and interaction with the SBA-15 support was studied by relating them to the catalytic activity of the catalyst in the hydrogenation reaction of Tetralin using a Parr reactor at 250°C and 15 atm. With this objective Ir/Pt-SBA-15 modified catalysts were synthesized with different % of Ir and Pt. The mesostructure of SBA-15 support gives a relatively high thermal stability and proper pore diameter can converts large molecules such as those present in the liquid fuels. The support was prepared by the sol-gel method. The catalytic site was obtained using incipient co impregnation method. The material was characterized by X-ray diffraction (XRD) and TEM). The metal dispersion was calculated by H2 chemisorption and TEM. Iridium / Platinum particles (d = 2,0-4,0 nm) homogeneously dispersed were obtained with a dispersion of more than 60%.
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    Ir-Pt/SBA-15 applied in the optimization of tetralin hydrogenation.
    (Univesidsad Tecnológica Nacional, 2015) Vallés , Verónica Alejandra; Ledesma , Brenda Cecilia; Rivoira, Lorena Paola; Cussa , jorgelina; Anunziata , Oscar Alfredo; Beltramone, Andrea Raquel; Cussa , jorgelina; Ledesma , Brenda
    Bimetallic catalysts have received considerable attention for hydrotreating (HDT) because they show high activity. The features of the catalysts here studied are going to be correlated with their catalytic performance in the hydrogenation of tetralin at mild conditions. The final goal is to find the optimal proportion of each metal in order to be more active and the best reaction conditions (temperature and amount of catalyst). The statistical experiments design is the process of planning an experiment to obtain appropriate data that can be analyzed by statistical methods, to produce concrete and valid conclusions. One of the main advantages in the response curve is to visualize the response for all levels of the experimental factors Experiment design response surface methodology (RSM) is used in this work to model and to optimize the process. Platinum and Iridium nanoparticles were incorporated into SBA-15 support by the wet co-impregnation method. Ir content was set as 1wt. % and Pt was varied from 0 to 1wt. %. The catalysts were characterized by XRD, BET, XPS, TEM, ICP and TPR. XRD profiles are characteristic of the two-dimensional p6mm hexagonal mesostructure with d100 spacing of 10.16 nm; where the d100 spacing upon Ir and Pt incorporation were quite similar to pristine SBA-15. The TEM images and XPS demonstrate that the metal particles were mainly present inside the porous and XPS and TPR corroborated the reduced state of the metals. The catalytic activity was measured in a 4563Parr reactor at 15 atm of hydrogen and 360 rpm. Feed consisted in 50 mL of tetralin in Dodecane, the amount of tetralin is set according to the ratio of catalyst mass/mass reagent corresponding to each reaction. The application of this methodology allows a better understanding of the influence of the different factors: content of metal on catalyst (A), relationship: mass of catalyst/reagent mass (B) and reaction temperature (C), on two responses: conversion at 3 h and at 5 h of reaction time. These factors were carefully selected taking account the influence of the parameters in the reaction. The design was analyzed by Statgraphics and Statistica Soft. We found that, the variable Catalyst has the best influence over the Conversion at the 95.0% confidence level, according to the Pareto.