Aeroelastic behavior of a wing with a magnetorheological hysteretic model to the damping

This paper shows the application of a hysteretic model for the Magnetorheological Damper (MRD) placed in the plunge degree-of-freedom of aeroelastic model of a wing. This hysteretic MRD model was developed by the researchers of the French Aerospace Lab. (ONERA) and describe, with a very good precision, the hysteretic behavior of the MRD. The aeroelastic model used in this paper do not have structural nonlinearities, the only nonlinearities showed in the model, are in the unsteady flow equations and are the same proposed by Theodorsen and Wagner in their unsteady aerodynamics theory; and the nonlinearity introduced by the hysteretic model used. The main objective of this paper is show the mathematical modeling of the problem and the equations that describes the aeroelastic response of our problem; and the gain obtained with the introduction of this hysteretic model in the equations with respect to other models that do not show the this behavior, through of pictures that represents the time response and Phase diagrams. These pictures are obtained using flow velocities before and after the flutter velocity. Finally, an open-loop control was made to show the effect of the MRD in the aeroelastic behavior.

Modelagem Matemática e Análise de Modelos Matemáticos na Educação Matemática

In this paper we present two studies, the first one completed and the second one in development, which are based in teaching approaches that propose the qualitative study of mathematical models as a strategy for the teaching and learning of mathematical concepts. These teaching approaches focus on subjects from Higher Education such as Introduction to Ordinary Differential Equations and Topics of Differential and Integral Calculus. We denominate this common aspect of the teaching approaches as Model Analysis and in a preliminary level we relate it with Mathematical Modeling. Furthermore, we discuss some questions related with the choice of the theme and the role of Digital Technologies when Model Analysis is applied.

Complex modal analysis of a vertical rotor through finite element method

Natural frequencies were analyzed (axial, torsional and flexural) and frequency response of a vertical rotor with a hard disk at the edge through the classical and complex modal analysis. The mathematical modeling was based on the theory of Euler-Bernoulli beam. The equation that rules the movement was obtained through the Lagrangian formulation. The model considered the effects of bending, torsion and axial deformation of the shaft, besides the gravitational and gyroscopic effects. The finite element method was used to discretize the structure into hollow cylindrical elements with 12 degrees of freedom. Mass, stiffness and gyroscopic matrices were explained consistently. This type of tool, based on the use of complex coordinates to describe the dynamic behavior of rotating shaft, allows the decomposition of the system in two submodes, backward and forward. Thus, it is possible to clearly visualize that the orbit and direction of the precessional motion around the line of the rotating shaft is not deformed. A finite element program was developed using Matlab ®, and numerical simulations were performed to validate this model.

Metodologia para otimização em subcontratação de serviço de usinagem

Operational Research (OR) is an eminent science to business competitiveness and the capacity of algorithms and spreadsheets that exist today allows people to apply them for a lower cost and with less complexity. However, spreadsheets linked to OR techniques, when directed to real problems, are still little explored in their full potential. In order to use them better, this article utilizes the Microsoft Office Excel to solve an optimization practical problem and decision-making of machining subcontracting. In general, although considered a frequent problem, is not of easy solution, optimize the mix of production versus outsourcing, because of the restrictions and resources available, it requests investments in specific software. In this way, this research aims to develop software to be called SOSU (Optimization Software for Machining Subcontracting). SOSU should introduce the best mix of internal and subcontracted machining for n types of parts that, over a certain period of time t, maximize capacity and meet all the demand at the lowest cost possible. The methodology adopted follows the bibliographic reference and it is assumed that the necessary data to prove from mathematical modeling of production areas and from a system of costs already structured. The nature of the problem justifies the application of Linear Programming (LP), Visual Basic for Applications (VBA) is used for computational implementation and interface with the user and the supplement Solver to find the solution. The analysis of the experiments show that the SOSU optimizes resources and improves the decision-making process, besides an easy operation, it can be implemented or quickly adapted and without the need of large investments.

Analisys of thermal efficiency of a modified solar collector type evacuated tube

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Simulação de modelagem qualitativa para avaliação preliminar da qualidade da água na Bacia do Ribeirão das Perdizes em Campos do Jordão/SP, como subsídio ao enquadramento

The purpose of this research was to present the principles for the implementation of a future water body classification program at the UGRHI-1 (Management Unit of Water Resources-1/São Paulo, Brazil) using qualitative and quantitative water modeling. Our study area was in Campos do Jordão, a city in the state of São Paulo, specifically in the Perdizes river watershed, which is included in the UGRHI-1. The water quality assessment used a modeling mehtodology that can support a future study for the classification of water bodies in the region. The behavior of DO and BOD parameters was assessed in the water quality scenarios, considering the variations of flows, loads, reductions in withdrawals and different efficiencies in sewage treatment. The model used was QUAL2E developed by USEPA (United States Environmental Protection Agency) that received a new graphic interface named QUAL2R model. The reference flows Q7,10, Q95% and Qm used were obtained through the DAEE (Department of Water and Electric Energy) hydrologic regionalization method. It was noted that of the 9 proposed scenarios, only scenario 6 that was predicted in the flow regime Qm with the existence of a treatment system capable of removing 93% of the BOD, in the Perdizes River remained 67.5% of the time in class 2. Scenario 8 predicted a 50% reduction in In scenario 8 a reduction of 50% in the flow captured in CA-04, associated with the efficiency of 93% of BOD removal keeping the river in class 2. In scenario 9 the minimum required efficiency in sewage treatment in the flow regime Q95% for keeping the river in class 2 was also calculated and the value of 94.7% was obtained.

Cinética do 15N em frangos de corte

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Análise dinâmica não-linear de um sistema não-ideal, utilizando amortecedor magneto-reológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Produtividade de biomassa de cana-de-açúcar em função dos índices de vegetação utilizando técnicas de sensoriamento remoto

Pós-graduação em Agronomia (Ciência do Solo) - FCAV

Modelagem matemática: uma abordagem do método gráfico e do método simplex na resolução de problemas de otimização

Pós-graduação em Matemática em Rede Nacional - IBILCE

Modelo matemático para determinação do custo e produção de energia na cultura da cana-de-açúcar

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Modelagem matemática de aferições de temperatura com aplicação em graus-dias para cultura da cana-de-açúcar

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Perda de matéria seca em grãos de milho submetidos a sistemas de secagem natural e artificial.

The permanence of the corn grain in the field, after physiological maturity, is an important cause of crop losses, both in quantitative and qualitative aspect. By ceasing the supply of assimilated substances to grains, due to physiological maturity, the synthesis reactions are overcome by breathing, responsible for the maintenance of the living tissues of the grains, which occur at the expense of reserves accumulated during grain formation. In addition, there are losses from fungus and insects attack due to adverse weather conditions. Technological advances in recent decades, the develop of grain dryers with different capacities and efficiencies, has led to the early withdrawal of the product from the field, still damp, reducing spoilage. Moreover, the use of artificial drying systems can represent a significant cost to the producer. Thus, the present work aimed to study the effect of natural and artificial methods of drying on maize dry matter losses, for Botucatu, city of Sao Paulo state, Brazil. The cornfield production was conducted at the Experimental Farm “Lageado” and the experimental treatments were conducted in the Laboratory of Agricultural Products Processing, in the Department of Rural Engineering, where the drying systems were tested. The treatments were: shade (control), artificial with heated air, artificial unheated air and, drying attached to the plant. The following analyzes for quality monitoring were performed: weight test, thousand-grain weight test and, grain dry weight. The results showed significant loss in quality of drying beans attached to the plant, by assessing the dry matter loss and by the variation of the grain weight. The weight test showed that the worst performance was the artificial with heated air treatment. We used mathematical modeling techniques to describe the dry matter loss and adjusted the mathematical model to the experimental data analyzed. From the experimental data obtained during drying the grain attached to the plant, it was still possible to fit a regression model that estimates the loss of grain dry matter under the climate from Botucatu during the 2011/2012 harvest period.

Aplicação da teoria fuzzy no controle de sistemas de geração de energias alternativas

This paper presents the application and use of a methodology based on fuzzy theory and simulates its use in intelligent control of a hybrid system for generating electricity, using solar energy, photovoltaic and wind. When using a fuzzy control system, it reached the point of maximum generation of energy, thus shifting all energy generated from the alternative sources-solar photovoltaic and wind, cargo and / or batteries when its use not immediately. The model uses three variables used for entry, which are: wind speed, solar radiation and loading the bank of batteries. For output variable has to choose which of the batteries of the battery bank is charged. For the simulations of this work is used MATLAB software. In this environment mathematical computational are analyzed and simulated all mathematical modeling, rules and other variables in the system described fuzzy. This model can be used in a system of control of hybrid systems for generating energy, providing the best use of energy sources, sun and wind, so we can extract the maximum energy possible these alternative sources without any prejudice to the environment.

Aplicação de sensor de deslocamento angular em fibra óptica para medição de concentração de líquidos via ondas acústicas guiadas

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)