973 resultados para Industrial Extension Institute.


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In recent decades, full electric and hybrid electric vehicles have emerged as an alternative to conventional cars due to a range of factors, including environmental and economic aspects. These vehicles are the result of considerable efforts to seek ways of reducing the use of fossil fuel for vehicle propulsion. Sophisticated technologies such as hybrid and electric powertrains require careful study and optimization. Mathematical models play a key role at this point. Currently, many advanced mathematical analysis tools, as well as computer applications have been built for vehicle simulation purposes. Given the great interest of hybrid and electric powertrains, along with the increasing importance of reliable computer-based models, the author decided to integrate both aspects in the research purpose of this work. Furthermore, this is one of the first final degree projects held at the ETSII (Higher Technical School of Industrial Engineers) that covers the study of hybrid and electric propulsion systems. The present project is based on MBS3D 2.0, a specialized software for the dynamic simulation of multibody systems developed at the UPM Institute of Automobile Research (INSIA). Automobiles are a clear example of complex multibody systems, which are present in nearly every field of engineering. The work presented here benefits from the availability of MBS3D software. This program has proven to be a very efficient tool, with a highly developed underlying mathematical formulation. On this basis, the focus of this project is the extension of MBS3D features in order to be able to perform dynamic simulations of hybrid and electric vehicle models. This requires the joint simulation of the mechanical model of the vehicle, together with the model of the hybrid or electric powertrain. These sub-models belong to completely different physical domains. In fact the powertrain consists of energy storage systems, electrical machines and power electronics, connected to purely mechanical components (wheels, suspension, transmission, clutch…). The challenge today is to create a global vehicle model that is valid for computer simulation. Therefore, the main goal of this project is to apply co-simulation methodologies to a comprehensive model of an electric vehicle, where sub-models from different areas of engineering are coupled. The created electric vehicle (EV) model consists of a separately excited DC electric motor, a Li-ion battery pack, a DC/DC chopper converter and a multibody vehicle model. Co-simulation techniques allow car designers to simulate complex vehicle architectures and behaviors, which are usually difficult to implement in a real environment due to safety and/or economic reasons. In addition, multi-domain computational models help to detect the effects of different driving patterns and parameters and improve the models in a fast and effective way. Automotive designers can greatly benefit from a multidisciplinary approach of new hybrid and electric vehicles. In this case, the global electric vehicle model includes an electrical subsystem and a mechanical subsystem. The electrical subsystem consists of three basic components: electric motor, battery pack and power converter. A modular representation is used for building the dynamic model of the vehicle drivetrain. This means that every component of the drivetrain (submodule) is modeled separately and has its own general dynamic model, with clearly defined inputs and outputs. Then, all the particular submodules are assembled according to the drivetrain configuration and, in this way, the power flow across the components is completely determined. Dynamic models of electrical components are often based on equivalent circuits, where Kirchhoff’s voltage and current laws are applied to draw the algebraic and differential equations. Here, Randles circuit is used for dynamic modeling of the battery and the electric motor is modeled through the analysis of the equivalent circuit of a separately excited DC motor, where the power converter is included. The mechanical subsystem is defined by MBS3D equations. These equations consider the position, velocity and acceleration of all the bodies comprising the vehicle multibody system. MBS3D 2.0 is entirely written in MATLAB and the structure of the program has been thoroughly studied and understood by the author. MBS3D software is adapted according to the requirements of the applied co-simulation method. Some of the core functions are modified, such as integrator and graphics, and several auxiliary functions are added in order to compute the mathematical model of the electrical components. By coupling and co-simulating both subsystems, it is possible to evaluate the dynamic interaction among all the components of the drivetrain. ‘Tight-coupling’ method is used to cosimulate the sub-models. This approach integrates all subsystems simultaneously and the results of the integration are exchanged by function-call. This means that the integration is done jointly for the mechanical and the electrical subsystem, under a single integrator and then, the speed of integration is determined by the slower subsystem. Simulations are then used to show the performance of the developed EV model. However, this project focuses more on the validation of the computational and mathematical tool for electric and hybrid vehicle simulation. For this purpose, a detailed study and comparison of different integrators within the MATLAB environment is done. Consequently, the main efforts are directed towards the implementation of co-simulation techniques in MBS3D software. In this regard, it is not intended to create an extremely precise EV model in terms of real vehicle performance, although an acceptable level of accuracy is achieved. The gap between the EV model and the real system is filled, in a way, by introducing the gas and brake pedals input, which reflects the actual driver behavior. This input is included directly in the differential equations of the model, and determines the amount of current provided to the electric motor. For a separately excited DC motor, the rotor current is proportional to the traction torque delivered to the car wheels. Therefore, as it occurs in the case of real vehicle models, the propulsion torque in the mathematical model is controlled through acceleration and brake pedal commands. The designed transmission system also includes a reduction gear that adapts the torque coming for the motor drive and transfers it. The main contribution of this project is, therefore, the implementation of a new calculation path for the wheel torques, based on performance characteristics and outputs of the electric powertrain model. Originally, the wheel traction and braking torques were input to MBS3D through a vector directly computed by the user in a MATLAB script. Now, they are calculated as a function of the motor current which, in turn, depends on the current provided by the battery pack across the DC/DC chopper converter. The motor and battery currents and voltages are the solutions of the electrical ODE (Ordinary Differential Equation) system coupled to the multibody system. Simultaneously, the outputs of MBS3D model are the position, velocity and acceleration of the vehicle at all times. The motor shaft speed is computed from the output vehicle speed considering the wheel radius, the gear reduction ratio and the transmission efficiency. This motor shaft speed, somehow available from MBS3D model, is then introduced in the differential equations corresponding to the electrical subsystem. In this way, MBS3D and the electrical powertrain model are interconnected and both subsystems exchange values resulting as expected with tight-coupling approach.When programming mathematical models of complex systems, code optimization is a key step in the process. A way to improve the overall performance of the integration, making use of C/C++ as an alternative programming language, is described and implemented. Although this entails a higher computational burden, it leads to important advantages regarding cosimulation speed and stability. In order to do this, it is necessary to integrate MATLAB with another integrated development environment (IDE), where C/C++ code can be generated and executed. In this project, C/C++ files are programmed in Microsoft Visual Studio and the interface between both IDEs is created by building C/C++ MEX file functions. These programs contain functions or subroutines that can be dynamically linked and executed from MATLAB. This process achieves reductions in simulation time up to two orders of magnitude. The tests performed with different integrators, also reveal the stiff character of the differential equations corresponding to the electrical subsystem, and allow the improvement of the cosimulation process. When varying the parameters of the integration and/or the initial conditions of the problem, the solutions of the system of equations show better dynamic response and stability, depending on the integrator used. Several integrators, with variable and non-variable step-size, and for stiff and non-stiff problems are applied to the coupled ODE system. Then, the results are analyzed, compared and discussed. From all the above, the project can be divided into four main parts: 1. Creation of the equation-based electric vehicle model; 2. Programming, simulation and adjustment of the electric vehicle model; 3. Application of co-simulation methodologies to MBS3D and the electric powertrain subsystem; and 4. Code optimization and study of different integrators. Additionally, in order to deeply understand the context of the project, the first chapters include an introduction to basic vehicle dynamics, current classification of hybrid and electric vehicles and an explanation of the involved technologies such as brake energy regeneration, electric and non-electric propulsion systems for EVs and HEVs (hybrid electric vehicles) and their control strategies. Later, the problem of dynamic modeling of hybrid and electric vehicles is discussed. The integrated development environment and the simulation tool are also briefly described. The core chapters include an explanation of the major co-simulation methodologies and how they have been programmed and applied to the electric powertrain model together with the multibody system dynamic model. Finally, the last chapters summarize the main results and conclusions of the project and propose further research topics. In conclusion, co-simulation methodologies are applicable within the integrated development environments MATLAB and Visual Studio, and the simulation tool MBS3D 2.0, where equation-based models of multidisciplinary subsystems, consisting of mechanical and electrical components, are coupled and integrated in a very efficient way.

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The Illinois Institute of Technology (iit) campus, Chicago, by architect Ludwig Mies van der Rohe, is often considered as a transitional work, usually acknowledged as significant for the reorientation of his professional career after he emigrated to the United States. Moreover, its favorable recognition today is somehow indicative of its relevance as a model for urban intervention in the contemporary American city and for contemporary city planning in general, not to mention the profound impact that it had on the cityscape of Chicago. However, today we know it was rather the result of a close collaboration between he and Ludwig Hilberseimer —later on, to be completed with Alfred Caldwell— who merged their personal ideas and expertise in the design for the first time. In addition to this, when one tries to locate the design within its own historical context and evaluate the sources of its approach to it, some contradictions arise. The major impact of the images produced by Mies to promote its realization —widely disseminated in most contemporary architectural periodicals— probably outshined the particular circumstances in which the design was conceived. In fact, it would never be materialized as originally presented, but it was, instead, continuously reworked according to land availability in the site —a circumstance often ignored by subsequent architectural critic, that enthusiastically praised the design even before it was fully completed. One of the main consequences of looking at iit from such a standpoint is that, when historically contextualized, one can appreciate that, due to the urban scale of its implementation process, the design had to face a complex reality very different to that initially planned by the architect, often far from his actual possibilities of intervention. Such approach is in contradiction with the common description of the design as a ‘tabula rasa’ that allegedly would have been formulated on the basis of a full denial of its context. On the contrary, the ever-changing circumstances of the design motivated a necessary re-interpretation of the relation between its executed fragments, in order to keep the original identity of the whole in an ever-changing context. This situation implied a continuous transformation of the design by means of a steady re-composition of its elements: as the number of completed buildings increased in its successive stages, their relation to their site-specific context changed, in a very particular process that these lines try to delineate. Requiring decades to be erected, neither of its authors would ever see the design finished as planned, partially because of the difficulties in acquiring the extension of land that it required. Considering the study of this process as able to provide a valuable gateway to understand the urban discourse that the architects entailed, the aim of these lines is to analyze the problems that the iit campus design had to face. As a starting point, a relationship between practice and theory in the activity of the authors implied in iit campus design has been assumed. Far from being interrupted during World War ii, strong historical evidence can be found to infer that both were developed in parallel. Consequently, the historical sequence of the preserved testimonies has been put into context, as well as their transformation while Mies remained in charge for the campus Master Plan. Notably, when seen from this perspective, some ideas already expressed during his previous European practice were still present during the design process. Particularly, Mies's particular understanding of certain architectural concepts — such as those of ‘order’ and ‘structure’—can be traced paralleling the theories about urban planning from his collaborators, a fact that possibly facilitated the campus successful development. The study of the way these ideas were actually redeveloped and modified in the American urban context, added to the specific process of the implementation of iit campus design, sheds a new light for a critical interpretation of the reasons that made it possible, and of the actual responsibility of Mies's collaborators in its overall development and final completion. RESUMEN El campus del Illinois Institute of Technology (iit) de Chicago, obra del arquitecto Ludwig Mies van der Rohe, es a menudo considerado como una obra de transición que, por lo general, ha venido siendo reconocida como relevante para la reorientación de su carrera profesional posterior a su exilio en los Estados Unidos. El reconocimiento del que goza el proyecto es indicativo, de algún modo, de su importancia como modelo para la intervención urbana en la ciudad norteamericana contemporánea y el planeamiento de la ciudad contemporánea en general, sin olvidar el profundo impacto que ha tenido sobre el paisaje urbano de Chicago. Sin embargo, hoy sabemos que el resultado se benefició de su estrecha colaboración con Ludwig Hilberseimer y se completaría más tarde con la de Alfred Caldwell, quienes unieron sus ideas y experiencia profesional en el proyecto por primera vez. Asimismo, cuando se intenta ubicar el proyecto dentro de su propio contexto histórico y evaluar los criterios de su manera de abordarlo, surgen algunas contradicciones. El considerable impacto de las imágenes producidas por Mies para impulsar su ejecución —ampliamente difundidas en la mayoría de publicaciones de arquitectura de la época— probablemente eclipsó las particulares circunstancias en las que el proyecto fue concebido. De hecho, nunca llegó a materializarse tal y como fue inicialmente presentado. Por contra, fue reelaborado de manera continua, de acuerdo a la disponibilidad de suelo en el emplazamiento; una circunstancia a menudo ignorada por la crítica posterior, que elogió con entusiasmo el proyecto antes siquiera de que fuese terminado. Una de las principales consecuencias de contemplar el iit desde semejante punto de vista es que, una vez contextualizada históricamente su puesta en obra, se puede apreciar que el arquitecto tuvo que enfrentarse a una compleja realidad urbana muy diferente a la inicialmente prevista —probablemente debido a la escala del proyecto— a menudo lejos de sus posibilidades reales de intervención. Este enfoque contradice la descripción habitual del proyecto como una ‘tabula rasa’, que supuestamente se habría formulado sobre la base de una negación completa de su contexto. Por el contrario, las circunstancias cambiantes del proyecto obligaron una necesaria reinterpretación de la relación entre sus frag mentos ejecutados, con el fin de mantener la identidad original del conjunto en un contexto en constante cambio. Esta situación implicó una continua transformación del proyecto por medio de una permanente re-composición de sus elementos: según se incrementaba el número de edificios construidos en las etapas sucesivas de desarrollo del conjunto, variaba su relación con el contexto específico en que se emplazaban, en un proceso muy particular que estas líneas tratan de perfilar. Al necesitar décadas para ser levantado, ninguno de sus autores vería el conjunto terminado según lo planificado, en parte debido a las dificultades para la adquisición de la extensión de suelo que demandaba. Asumiendo que el estudio de este proceso es capaz de proporcionar una valiosa puerta de entrada para elucidar el discurso urbano asumido por los Mies, el objetivo de estas líneas es analizar los problemas a los que el proyecto del campus del iit tuvo que enfrentarse. Como punto de partida, se ha supuesto una relación entre la práctica y la teoría en la actividad de los autores implicados en el proyecto del campus del iit. Lejos de interrumpirse durante la Segunda Guerra Mundial, existen evidencias históricas sólidas para deducir que ambas vertientes se desarrollaron en paralelo. En consecuencia, se ha contextualizado la secuencia histórica de los testimonios conservados, así como su transformación durante el periodo en que Mies estuvo a cargo del Plan General del campus. Significativamente, al ser contempladas bajo esta perspectiva, algunas ideas ya expresadas durante su práctica europea anterior resultan aún presentes durante la redacción del proyecto. En concreto, se puede trazar un paralelismo entre la comprensión particular de Mies de ciertos conceptos arquitectónicos —como los de ‘orden’ y ‘estructura’— y las teorías sobre el urbanismo de sus colaboradores, hecho que posiblemente facilitó el exitoso desarrollo del proyecto. El estudio de la manera en que estas ideas fueron reelaboradas y modificadas en el contexto urbano estadounidense, sumado al proceso específico de su aplicación en el proyecto del campus del iit, arroja una nueva luz para una interpretación crítica tanto de las razones que lo hicieron posible, como del papel real que los colaboradores de Mies tuvieron en su desarrollo y ejecución final.

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The Helix Research Institute (HRI) in Japan is releasing 4356 HUman Novel Transcripts and related information in the newly established HUNT database. The institute is a joint research project principally funded by the Japanese Ministry of International Trade and Industry, and the clones were sequenced in the governmental New Energy and Industrial Technology Development Organization (NEDO) Human cDNA Sequencing Project. The HUNT database contains an extensive amount of annotation from advanced analysis and represents an essential bioinformatics contribution towards understanding of the gene function. The HRI human cDNA clones were obtained from full-length enriched cDNA libraries constructed with the oligo-capping method and have resulted in novel full-length cDNA sequences. A large fraction has little similarity to any proteins of known function and to obtain clues about possible function we have developed original analysis procedures. Any putative function deduced here can be validated or refuted by complementary analysis results. The user can also extract information from specific categories like PROSITE patterns, PFAM domains, PSORT localization, transmembrane helices and clones with GENIUS structure assignments. The HUNT database can be accessed at http://www.hri.co.jp/HUNT.

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"NIOSH technical information."

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Mode of access: Internet.

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"October 1980."