NUMERICAL SOLUTIONS OF FLOWS IN ROCKET ENGINES WITH REGENERATIVE COOLING

A one-dimensional mathematical model is presented for flows in a rocket engine that has a regenerative cooling system. The problem involves the flow of a gas in a converging- diverging nozzle, the flow of a coolant in channels distributed around the engine, and the heat conduction through a wall between the gas and the coolant. The numerical model adopted is based on the finite-volume method with a second-order scheme. It was noted that it is important to use variable properties in order to predict the maximum wall temperature in the rocket engine and the drop in pressure of the coolant as it moves along the channels, whereas the thrust of the engine can be calculated with constant properties.     

Fingerprint and authenticity roasted coffees by <Superscript>1</Superscript>H-NMR: the Brazilian coffee case

With globalization, it has become necessary to adopt policies to regulate the coffee market, addressing problems including the authenticity and traceability of products. It is therefore important to establish methodologies that can help to safeguard the interests of producer countries and add value to products. For this purpose, the use of NMR combined with multivariate statistical procedures can be an attractive option. The aim of this study was to develop a fast and effective technique, using ¹H NMR coupled with multivariate statistics, to create a fingerprint of roasted coffees, distinguishing them according to the main Brazilian producer regions. Several compounds suitable for differentiating roasted coffees were identified in the fingerprint. Discriminant analysis revealed good distinction among the samples. The compounds catechol, trigonelline, caffeine, and n-methylpyridine were most important for the differentiation. The findings should assist coffee-producing countries in adopting measures to protect their markets and to add value to coffee products.     

An iterative model predictive control algorithm for constrained nonlinear systems

An iterative model predictive control (MPC) scheme for constrained nonlinear systems is presented. The idea of the method is to detour from the solution of a non‐convex optimization problem using a time‐variant linearization of the nonlinear system model that is adjusted iteratively by solving an iterative quadratic programming optimization problem at each sampling time. The main advantage is the faster resolution of the optimization problem by using quadratic programming instead of non‐convex programming and yet, properly describing the nonlinear dynamics of the process being controlled. In this article, a general framework of the method is presented together with a discussion on the conditions under which the iterations converge and on the uncertainty of its results due to the linearization used, as well as some practical considerations about its implementation. The performance of the proposed controller is illustrated via two examples.     

Photoluminescent and antimicrobial properties of silver-doped indium hydroxide synthesized by one-step microwave-assisted hydrothermal method

Silver-doped indium hydroxide In_(1-x)(OH)₃:_xAg (with x = 0, 1, 2, 4, and 8 mol%) of Ag nanoparticles were synthesized by the microwave-assisted hydrothermal (MAH) method at 140°C for 30 minutes. These nanoparticles were characterized by X-ray diffraction (XRD), fourier transformed infrared (FT-IR) spectroscopy, and optical diffuse reflectance. Photoluminescence (PL) spectra were acquired with a 350 nm beam of a krypton ion laser as an excitation source. The antibacterial activities of the samples were evaluated against gram negative Escherichia coli bacteria and gram positive Staphylococcus aureus bacteria using the disc diffusion method. The results showed that all diffraction peaks present in XRD patterns could be indexed to the cubic lattice related to the In(OH)₃ phase. Broadband photoluminescence behavior in visible range spectra was observed for all samples with a maximum peak centered in the blue and green regions. The antibacterial activities showed that In_(1-x)(OH)₃: _xAg nanoparticles have a promising bactericide that can be used for deactivating microbes.     

Optimised photocatalytic degradation of a mixture of azo dyes using a TiO(2)/H(2)O(2)/UV process

The aim of the present study was to optimise the photocatalytic degradation of a mixture of six commercial azo dyes, by exposure to UV radiation in an aqueous solution containing TiO(2)-P25. Response surface methodology, based on a 3(2) full factorial experimental design with three replicates was employed for process optimisation with respect to two parameters: TiO(2) (0.1-0.9 g/L) and H(2)O(2) (1-100 mmol/L). The optimum conditions for photocatalytic degradation were achieved at concentrations of 0.5 g TiO(2)/L and 50 mmol H(2)O(2)/L, respectively. Dye mineralisation was confirmed by monitoring TOC, conductivity, sulfate and nitrate ions, with a sulfate ion yield of 96% under optimal reactor conditions. Complete decolorisation was attained after 240 min irradiation time for all tested azo-dyes, in a process which followed a pseudo-first kinetic order model, with a kinetic rate constant of approximately 0.018 min(-1). Based on these results, this photocatalytic process has promise as an alternative for the treatment of textile effluents.     

Managing medical images and clinical information: InCor's experience.

Patients usually get medical assistance in several clinics and hospitals during their lifetime, archiving vital information in a dispersed way. Clearly, a proper patient care should take into account that information in order to check for incompatibilities, avoid unnecessary exams, and get relevant clinical history. The Heart Institute (InCor) of S?o Paulo, Brazil, has been committed to the goal of integrating all exams and clinical information within the institution and other hospitals. Since InCor is one of the six institutes of the University of S?o Paulo Medical School and each institute has its own information system, exchanging information among the institutes is also a very important aspect that has been considered. In the last few years, a system for transmission, archiving, retrieval, processing, and visualization of medical images integrated with a hospital information system has been successfully created and constitutes the InCor's electronic patient record (EPR). This work describes the experience in the effort to develop a functional and comprehensive EPR, which includes laboratory exams, images (static, dynamic, and three dimensional), clinical reports, documents, and even real-time vital signals. A security policy based on a contextual role-based access control model was implemented to regulate user's access to EPR. Currently, more than 10 TB of digital imaging and communications in medicine (DICOM) images have been stored using the proposed architecture and the EPR stores daily more than 11 GB of integrated data. The proposed storage subsystem allows 6 months of visibility for rapid retrieval and more than two years for automatic retrieval using a jukebox. This paper addresses also a prototype for the integration of distributed and heterogeneous EPR.     

COMPARISON AMONG PI, DMC, QDMC, AND GPC ALGORITHMS IN THE CONTROL OF THE SPOUTED BED DRYER

This article presents comparative analysis between the classical PI (proportional-integral control) and MPC (model predictive control) techniques for a drying process on spouted beds. The on-line experimental setups were carried out in a laboratory-scale plant of a spouted bed dryer. The main objective was to optimize the plant operation by searching for the best control structure to be used in future scale enlargement. The major drawbacks encountered in this kind of system were high interactivity among variables, a malfunction as a result of calculated variables out of the operational window, and modeling mismatch. Despite the robustness of the operational PI, the control actions of this strategy did not overcome the variable interactions. The DMC (dynamic matrix control) and the QDMC (quadratic dynamic matrix control) algorithms performed satisfactorily over the major drawbacks. Special attention was given to the latter algorithm due to its ability to hold the variables under constrained oscillations. However, the best results were found for the adaptive GPC (generalized predictive control) algorithm whose actions prevailed over the modeling mismatch due to the strong nonlinear behavior intrinsic to the process. The main goal of the present work is to describe a procedure that can be standardized for other types of dryers and different scales. This is especially the case for the adaptive GPC, whose control structure is independent of the dryer nature and scale and whose implementation does not require previous identification procedures (self-tuning) and/or structural changes.     

Comparative effects of two different doses of low‐level laser therapy on wound healing third‐degree burns in rats

Burns are injuries caused by direct or indirect contact to chemical, physical, or biological agents. Low‐level laser therapy (LLLT) is a promising treatment since it is low‐cost, non‐invasive, and induces cell proliferation. This study aimed to investigate the effects of LLLT (660 nm) at two different fluences (12.5 J/cm² and 25 J/cm²) per point of application on third‐degree burns in rats. Thirty rats (Wistar) divided into GC, GL12.5, and GL25 were used in the study, and submitted to burn injury through a soldering iron at 150°C, pressed on their back for 10 s. LLLT was applied immediately, and 2, 4, 6, and 8 days after wound induction. Histological analysis revealed a decreased inflammatory infiltrate in the group treated with 25 J/cm², and intense inflammatory infiltrate in the control group and in the group treated with 12.5 J/cm². The immunostaining of COX‐2 was more intense in the control groups and in the group treated with 12.5 J/cm² than in the group treated with 25 J/cm². Conversely, VEGF immunomarking was more expressive in the group treated with 25 J/cm² than it was in the other two groups. Therefore, our findings suggest that the use of 25 J/cm² and 1 J of energy was more effective in stimulating the cellular processes involved in tissue repair on third‐degree burns in rats by reducing the inflammatory phase, and stimulating angiogenesis, thus restoring the local microcirculation which is essential for cell migration. Microsc. Res. Tech. 79:313–320, 2016. © 2016 Wiley Periodicals, Inc.     

Antimicrobial and electrical properties of ce- and ni-doped zns nanoparticles obtained by a sonochemical method

In this work, cerium- and nickel-codoped ZnS nanoparticles were obtained by a sonochemical method for 20 min. The nanoparticles were characterized by X-ray diffraction (XRD), diffuse reflectance spectroscopy (DRS), and microscopy electronic transmission (MET). The electrical properties are estimated through I-V curves and the antimicrobial activity was analyzed against E. coli (gram-negative) and S. aureus (gram-positive) bacteria using the diffusion disk methodology. The diffractograms indicate the obtaining of cubic structure ZnS for the pure sample, whereas the doped samples present the cubic and hexagonal structures of the ZnS. The bandgap reduced from 3.60 to 3.52 eV, for pure and codoped samples. I-V curves indicate an increase in resistivity with doping, being more evident for samples containing cerium. Antimicrobial activity increased as doping occurred, where the codoped sample showed the best results. Even for the low amount of dopant (1 mol%), the antimicrobial activity can be increased by about 50% for the codoped sample, compared to the pure ZnS. Thus, it is known that the doping of ZnS with cerium and nickel provides the stabilization of the hexagonal metastable phase, which acts to restrict electronic mobility and, consequently, improves the antimicrobial response of the material.     

Photocatalytic properties of the CeO2-xTiO2 and TiO2-xCeO2 (x = 10, 30, and 50 mol%) heterostructures obtained by a MAH

In this work, CeO₂-TiO₂ heterostructures were submitted to the microwave-assisted hydrothermal (MAH) method at 140°C for 30 minute, and varying the CeO₂ and TiO₂ percentages as 10, 30, and 50 mol%. The heterostructures were characterized by X-ray diffraction (XRD), transmission electron microscopy (TEM), Brunauer-Emmett-Teller methodology (BET), and UV-Vis diffuse reflectance spectroscopy (UV-Vis). The photocatalytic properties were estimated varying the concentration of methylene blue (MB) dye. The diffractograms indicate the formation of TiO₂ anatase and CeO₂ phases, without the formation of secondary phases. TEM images indicate the formation of nanocubes and nanospheres for CeO₂ and TiO₂, respectively. BET analysis indicates that CeO₂ has the largest surface area (62.80 m².g⁻¹), and TiO₂-10%CeO₂ heterostructure has a low surface area (26.13 m².g⁻¹). The addition of TiO₂ to CeO₂ increases the photocatalytic activity from 32% to 80% for CeO₂ and CeO₂-50%TiO₂, respectively. In contrast, the addition of CeO₂ significantly decreases the photocatalytic activity of TiO₂ from 98.9% to 50% for TiO₂ and TiO₂-50%CeO₂, respectively. Reuse tests showed that the TiO₂-xCeO₂ samples maintain the photocatalytic response in subsequent cycles while the CeO₂-xTiO₂ samples have an increase in the response.