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Rosario, Argentina

The National Technological University is a country-wide national university in Argentina, and considered to be among the top engineering schools in the country. Hosting over 75,000 students, its student body is comparable to Argentina's third-largest university and exceeded significantly only by the University of Buenos Aires . It has 29 semi-independent branches of various sizes located all over the country.The engineering programs taught at most of those locations are:Aeronautical EngineeringChemical EngineeringCivil EngineeringElectrical EngineeringElectronic EngineeringIndustrial EngineeringInformation Systems EngineeringMechanical EngineeringIt is the only national university in the country with a focus on engineering. Many of the available programs have an intermediate diploma as well, typically after completing up to the 3rd or 4th year . The university also offers a broad range of degrees at tertiary and postgraduate level, including those of Specialist, Master and Doctorate in Engineering.Due to its strongly federalized approach, it is the only university with campuses across the country, graduating almost 50% of the new engineers in Argentina.Research and Development is conducted in 18 official centers. Some of the areas these centers specialize in are: Chemical Engineering, Information Technology, Energy research, Environmental Science, Robotics, Mechanics, and Construction Engineering. Wikipedia.

Villabrille P.,National University of La Plata | Romanelli G.,National University of La Plata | Quaranta N.,National Technological University of Rosario | Vazquez P.,National University of La Plata
Applied Catalysis B: Environmental | Year: 2010

In the present work the phenol trimethylsilylation with hexamethyldisilazane using molybdophosphovanadates supported on commercial alumina cylinders as catalysts was studied. These catalysts were prepared by incipient wetness impregnation also including Fe and Cu as cations, which can be present as bulk heteropolyacids or in the previously impregnated support. These solids were characterized by several techniques such as diffuse reflectance spectroscopy, Fourier transformed infrared spectroscopy, optical and scanning electron microscopies, and X-ray diffraction, among others. The catalytic test was performed under different reaction conditions in order to know the performance of the synthesized catalysts. The method shows high conversion of phenol under heterogeneous conditions. Phenol trimethylsilyl ether formation was obtained using hexamethyldisilazane as acylating agent and toluene as reaction solvent, with different reuses. In addition, they are environmentally friendly materials. The H2PMo11VCuO40 supported on alumina showed higher activity in the tested reaction. Finally, various alcohols and phenols were silylated to trimethylsilyl ethers, under mild conditions, and excellent yields were obtained. © 2010 Elsevier B.V. All rights reserved.

Zappa S.,University of Buenos Aires | Svoboda H.G.,University of Buenos Aires | De Rissone N.M.R.,National Technological University of Rosario | Surian E.S.,University of Buenos Aires | De Vedia L.A.,National University of San Martin of Argentina
Welding Journal | Year: 2012

Welding of supermartensitic stainless steel plays a crucial role in fabricated components, influencing their toughness, weldability, and resistance to sulphide stress cracking. Postweld heat treatment adjusts the final properties of the weldments, bearing on microstructural evolution. The objective of this work was to maximize all-weld-metal toughness by microstructural modifications achieved by means of postweld heat treatments (PWHTs). Two all-wcld-metal test coupons were prepared according to standard ANSI/AWS A5.22-95, using a 1.2-mm-diameter tubular metal-cored wire under Ar-5%He and Ar-l8%C02 gas shielding mixtures in the flat position, with a nominal heat input of 1.6 k.l mm Single tempering, solution annealing, solution annealing plus single tempering, and solution annealing plus double tempering treatments were carried out at different times and temperatures. All-weld-metal chemical composition analysis, metallurgical characterization, hardness and tensile property measurements, and Charpy V tests were carried out. It was found that eliminating ferrite, maximizing austenite, and softening martensite through PWHT, improved toughness up to almost three times with respect to the as-welded condition, for both shielding gases used. When welding under Ar-l8%C02 shielding gas, the following was detected: a) higher all-weld-metal contents of C, O, and N and slightly lower contents of Mn, Si, Cr, Ni, Mo, Cu; this fact produced slightly lower ferrite and austenite contents in the as-welded condition and b) lower toughness and ductility, and higher strength and hardness, regarding the samples welded under Ar-5%1 le mixture.

Campetelli G.,CONICET | Lombarte M.,National University of Rosario | Basualdo M.S.,CONICET | Basualdo M.S.,National Technological University of Rosario | Rigalli A.,National University of Rosario
Computers and Chemical Engineering | Year: 2013

In this paper, an improved adaptive predictive control with robust filter is developed to be applied in an artificial pancreas. Several problems inherent to endocrine systems for diabetic persons have to be tackled such as nonlinearities, long time delays or daily variations of parameters. Three Finite Impulse Response models for insulin input and the same for meal intake (perturbations) corresponding to normal, hyper-hypoglycaemia levels to implement three zones control are taken into account. The glycaemia reference trajectory is shaped from a healthy person response. A variable weighting factor in the cost function is included to prevent dangerous glycaemia excursions out of the allowed limits. Additionally, a noisy blood glucose subcutaneous sensor model is used. This control strategy is tested on 30 virtual subjects from the UVa - Padova Simulator. Simultaneous meals and physiological disturbances are taken into account and the main conclusions are drawn from Control Variability Grid Analysis. © 2013 Elsevier Ltd.

Gramajo S.,National Technological University of Rosario | Martinez L.,University of Jaen
Knowledge-Based Systems | Year: 2012

Networking resources and technologies are mission-critical in organizations, companies, universities, etc. Their relevance implies the necessity of including tools for Quality of Service (QoS) that assure the performance of such critical services. To address this problem and guarantee a sufficient bandwidth transmission for critical applications/services, different strategies and QoS tools based on the administrator's knowledge may be used. However it is common that network administrators might have a nonrealistic view about the needs of users and organizations. Consequently it seems convenient to take into account such users' necessities for traffic prioritization even though they could involve uncertainty and subjectivity. This paper proposes a linguistic decision support model for traffic prioritization in networking, which uses a group decision making process that gathers user's needs in order to improve organizational productivity. This model manages the inherent uncertainty, imprecision and vagueness of users' necessities, modeling the information by means of linguistic information and offering a flexible framework that provides multiple linguistic scales to the experts, according to their degree of knowledge. Thereby, this decision support model will consist of two processes: (i) A linguistic decision analysis process that evaluates and assesses priorities for QoS of the network services according to users and organizations' necessities. (ii) A priority assignment process that sets up the network traffic in agreement with the previous values. © 2011 Elsevier B.V. All rights reserved.

Nieto Degliuomini L.,Computer Aided for Process Engineering Group CAPEG | Nieto Degliuomini L.,CONICET | Biset S.,Computer Aided for Process Engineering Group CAPEG | Biset S.,National Technological University of Rosario | And 5 more authors.
International Journal of Hydrogen Energy | Year: 2012

A pseudo dynamic rigorous model of a bio-ethanol processor system (BPS) to produce hydrogen for feeding a Proton Exchange Membrane Fuel Cell (PEM-FC) is presented. The main contribution of this work is to give the overall set of differential and algebraic equations (DAE), assumptions and the way to computationally implement it. This model is able for testing the dynamic behavior of this integrated process, obtaining a reduced order linear model and checking any plant-wide control structure design. It is implemented in two programs, HYSYS and MATLAB, properly communicated to coordinate the calculations performed on each one. A part of the process considered with a faster dynamic than the rest of the units of the plant are simulated in HYSYS environment working in steady state mode. Then, auxiliary equipments and the heat exchangers network are in HYSYS which is called by MATLAB every integration interval for doing the simulation of the complete system. On the other side, the PEM-FC and the dynamic models of the plug flow reactors are developed in MATLAB workspace. Hence, strictly speaking this model must be considered as "pseudo" dynamic. The linearized and reduced order model is developed by applying system identification techniques on the rigorous model. Therefore, accounting the main objectives of the process and the most critical disturbances, a preliminary control structure can be well-tested here. Several results are presented in this work analyzing the obtained performances for opened and closed loop modes. © 2011, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved.

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