883 resultados para design of experiment methodology


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Smart material technology has become an area of increasing interest for the development of lighter and stronger structures which are able to incorporate actuator and sensor capabilities for collocated control. In the design of actively controlled structures, the determination of the actuator locations and the controller gains, is a very important issue. For that purpose, smart material modelling, modal analysis methods, control and optimization techniques are the most important ingredients to be taken into account. The optimization problem to be solved in this context presents two interdependent aspects. The first one is related to the discrete optimal actuator location selection problem, which is solved in this paper using genetic algorithms. The second is represented by a continuous variable optimization problem, through which the control gains are determined using classical techniques. A cantilever Euler-Bernoulli beam is used to illustrate the presented methodology.

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The objective of this article is to apply the Design of experiments technique along with the Discrete Events Simulation technique in an automotive process. The benefits of the design of experiments in simulation include the possibility to improve the performance in the simulation process, avoiding trial and error to seek solutions. The methodology of the conjoint use of Design of Experiments and Computer Simulation is presented to assess the effects of the variables and its interactions involved in the process. In this paper, the efficacy of the use of process mapping and design of experiments on the phases of conception and analysis are confirmed. © 2007 IEEE.

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The objective of this article is to apply the Design of Experiments technique along with the Discrete Events Simulation technique in an automotive process. The benefits of the design of experiments in simulation include the possibility to improve the performance in the simulation process, avoiding trial and error to seek solutions. The methodology of the conjoint use of Design of Experiments and Computer Simulation is presented to assess the effects of the variables and its interactions involved in the process. In this paper, the efficacy of the use of process mapping and design of experiments on the phases of conception and analysis are confirmed.

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Nowadays, one of the most important concerns for many companies is to maintain the operation of their systems without sudden equipment break down. Because of this, new techniques for fault detection and location in mechanical systems subject to dynamic loads have been developed. This paper studies of the influence of the decay rate in the design of state observers using LMI for fault detection in mechanical systems. This influence is analyzed by the performance index proposed by Huh and Stein for the condition of a state observer. An example is presented to illustrate the methodology discussed.

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Based on literature review, electronic systems design employ largely top-down methodology. The top-down methodology is vital for success in the synthesis and implementation of electronic systems. In this context, this paper presents a new computational tool, named BD2XML, to support electronic systems design. From a block diagram system of mixed-signal is generated object code in XML markup language. XML language is interesting because it has great flexibility and readability. The BD2XML was developed with object-oriented paradigm. It was used the AD7528 converter modeled in MATLAB / Simulink as a case study. The MATLAB / Simulink was chosen as a target due to its wide dissemination in academia and industry. From this case study it is possible to demonstrate the functionality of the BD2XML and make it a reflection on the design challenges. Therefore, an automatic tool for electronic systems design reduces the time and costs of the design.

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This paper proposes a new switched control design method for some classes of linear time-invariant systems with polytopic uncertainties. This method uses a quadratic Lyapunov function to design the feedback controller gains based on linear matrix inequalities (LMIs). The controller gain is chosen by a switching law that returns the smallest value of the time derivative of the Lyapunov function. The proposed methodology offers less conservative alternative than the well-known controller for uncertain systems with only one state feedback gain. The control design of a magnetic levitator illustrates the procedure. © 2013 Wallysonn A. de Souza et al.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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

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A reversed-phase high performance liquid chromatography method was validated for the determination of cefazolin sodium in lyophilized powder for solution for injection to be applied for quality control in pharmaceutical industry. The liquid chromatography method was conducted on a Zorbax Eclipse Plus C18 column (250 x 4.6 mm, 5 μm), maintained at room temperature. The mobile phase consisted of purified water: acetonitrile (60: 40 v/v), adjusted to pH 8 with triethylamine. The flow rate was of 0.5 mL min-1 and effluents were monitored at 270 nm. The retention time for cefazolin sodium was 3.6 min. The method proved to be linear (r2 =0.9999) over the concentration range of 30-80 µg mL-1. The selectivity of the method was proven through degradation studies. The method demonstrated satisfactory results for precision, accuracy, limits of detection and quantitation. The robustness of this method was evaluated using the Plackett–Burman fractional factorial experimental design with a matrix of 15 experiments and the statistical treatment proposed by Youden and Steiner. Finally, the proposed method could be also an advantageous option for the analysis of cefazolin sodium, contributing to improve the quality control and to assure the therapeutic efficacy

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

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Sensor and actuator based on laminated piezocomposite shells have shown increasing demand in the field of smart structures. The distribution of piezoelectric material within material layers affects the performance of these structures; therefore, its amount, shape, size, placement, and polarization should be simultaneously considered in an optimization problem. In addition, previous works suggest the concept of laminated piezocomposite structure that includes fiber-reinforced composite layer can increase the performance of these piezoelectric transducers; however, the design optimization of these devices has not been fully explored yet. Thus, this work aims the development of a methodology using topology optimization techniques for static design of laminated piezocomposite shell structures by considering the optimization of piezoelectric material and polarization distributions together with the optimization of the fiber angle of the composite orthotropic layers, which is free to assume different values along the same composite layer. The finite element model is based on the laminated piezoelectric shell theory, using the degenerate three-dimensional solid approach and first-order shell theory kinematics that accounts for the transverse shear deformation and rotary inertia effects. The topology optimization formulation is implemented by combining the piezoelectric material with penalization and polarization model and the discrete material optimization, where the design variables describe the amount of piezoelectric material and polarization sign at each finite element, with the fiber angles, respectively. Three different objective functions are formulated for the design of actuators, sensors, and energy harvesters. Results of laminated piezocomposite shell transducers are presented to illustrate the method. Copyright (C) 2012 John Wiley & Sons, Ltd.

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The Passifloraceae family is extensively used in native Brazilian folk medicine to treat a wide variety of diseases. The problem of flavonoid extraction from Passiflora was treated by application of design of experiments (DOE), as an experiment with mixture including one categorical process variable. The components of the binary mixture were: ethanol (component A) and water (component B); the categorical process variable: extraction method (factor C) was varied at two levels: (+1) maceration and (-1) percolation. ANOVA suggested a cubic model for P. edulis extraction and a quadratic model for P. alata.These results indicate that the proportion of components A and B in the mixture is the main factor involved in significantly increasing flavonoid extraction. In regard to the extraction methods, no important differences were observed, which indicates that these two traditional extraction methods could be effectively used to extract flavonoids from both medicinal plants. The evaluation of antioxidant activity of the extract by ORAC method showed that P. edulis displays twice as much antioxidant activity as P. alata. Considering that maceration is a simple, rapid and environmentally friendly extraction method, in this study, the optimized conditions for flavonoid extraction from these Passiflora species is maceration with 75% ethanol for P. edulis and 50% ethanol for P. alata.

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Hybrid vehicles represent the future for automakers, since they allow to improve the fuel economy and to reduce the pollutant emissions. A key component of the hybrid powertrain is the Energy Storage System, that determines the ability of the vehicle to store and reuse energy. Though electrified Energy Storage Systems (ESS), based on batteries and ultracapacitors, are a proven technology, Alternative Energy Storage Systems (AESS), based on mechanical, hydraulic and pneumatic devices, are gaining interest because they give the possibility of realizing low-cost mild-hybrid vehicles. Currently, most literature of design methodologies focuses on electric ESS, which are not suitable for AESS design. In this contest, The Ohio State University has developed an Alternative Energy Storage System design methodology. This work focuses on the development of driving cycle analysis methodology that is a key component of Alternative Energy Storage System design procedure. The proposed methodology is based on a statistical approach to analyzing driving schedules that represent the vehicle typical use. Driving data are broken up into power events sequence, namely traction and braking events, and for each of them, energy-related and dynamic metrics are calculated. By means of a clustering process and statistical synthesis methods, statistically-relevant metrics are determined. These metrics define cycle representative braking events. By using these events as inputs for the Alternative Energy Storage System design methodology, different system designs are obtained. Each of them is characterized by attributes, namely system volume and weight. In the last part the work, the designs are evaluated in simulation by introducing and calculating a metric related to the energy conversion efficiency. Finally, the designs are compared accounting for attributes and efficiency values. In order to automate the driving data extraction and synthesis process, a specific script Matlab based has been developed. Results show that the driving cycle analysis methodology, based on the statistical approach, allows to extract and synthesize cycle representative data. The designs based on cycle statistically-relevant metrics are properly sized and have satisfying efficiency values with respect to the expectations. An exception is the design based on the cycle worst-case scenario, corresponding to same approach adopted by the conventional electric ESS design methodologies. In this case, a heavy system with poor efficiency is produced. The proposed new methodology seems to be a valid and consistent support for Alternative Energy Storage System design.

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Diese Arbeit ist ein Beitrag zu den schnell wachsenden Forschungsgebieten der Nano-Biotechnologie und Nanomedizin. Sie behandelt die spezifische Gestaltung magnetischer Nanomaterialien für verschiedene biomedizinische Anwendungsgebiete, wie beispielsweise Kontrastmittel für die magnetische Resonanztomographie (MRT) oder "theragnostische" Agenzien für simultane optische/MR Detektion und Behandlung mittels photodynamischer Therapie (PDT).rnEine Vielzahl magnetischer Nanopartikel (NP) mit unterschiedlichsten magnetischen Eigenschaften wurden im Rahmen dieser Arbeit synthetisiert und erschöpfend charakterisiert. Darüber hinaus wurde eine ganze Reihe von Oberflächenmodifizierungsstrategien entwickelt, um sowohl die kolloidale als auch die chemische Stabilität der Partikel zu verbessern, und dadurch den hohen Anforderungen der in vitro und in vivo Applikation gerecht zu werden. Diese Strategien beinhalteten nicht nur die Verwendung bi-funktionaler und multifunktioneller Polymerliganden, sondern auch die Kondensation geeigneter Silanverbindungen, um eine robuste, chemisch inerte und hydrophile Siliziumdioxid- (SiO2) Schale um die magnetischen NP auszubilden.rnGenauer gesagt, der Bildungsmechanismus und die magnetischen Eigenschaften monodisperser MnO NPs wurden ausgiebig untersucht. Aufgrund ihres einzigartigen magnetischen Verhaltens eignen sich diese NPs besonders als (positive) Kontrastmittel zur Verkürzung der longitudinalen Relaxationszeit T1, was zu einer Aufhellung im entsprechenden MRT-Bild führt. Tatsächlich wurde dieses kontrastverbessernde Potential in mehreren Studien mit unterschiedlichen Oberflächenliganden bestätigt. Au@MnO „Nanoblumen“, auf der anderen Seite, sind Vertreter einer weiteren Klasse von Nanomaterialien, die in den vergangenen Jahren erhebliches Interesse in der wissenschaftlichen Welt geweckt hat und oft „Nano-hetero-Materialien“ genannt wird. Solche Nano-hetero-partikel vereinen die individuellen physikalischen und chemischen Eigenschaften der jeweiligen Komponenten in einem nanopartikulärem System und erhöhen dadurch die Vielseitigkeit der möglichen Anwendungen. Sowohl die magnetischen Merkmale von MnO, als auch die optischen Eigenschaften von Au bieten die Möglichkeit, diese „Nanoblumen“ für die kombinierte MRT und optische Bildgebung zu verwenden. Darüber hinaus erlaubt das Vorliegen zweier chemisch unterschiedlicher Oberflächen die gleichzeitige selektive Anbindung von Katecholliganden (auf MnO) und Thiolliganden (auf Au). Außerdem wurde das therapeutische Potential von magnetischen NPs anhand von MnO NPs demonstriert, die mit dem Photosensibilisator Protoporhyrin IX (PP) funktionalisiert waren. Bei Bestrahlung mit sichtbarem Licht initiiert PP die Produktion von zytotoxisch-reaktivem Sauerstoff. Wir zeigen, dass Nierenkrebszellen, die mit PP-funktionalisierten MnO NPs inkubiert wurden nach Bestrahlung mit Laserlicht verenden, während sie ohne Bestrahlung unverändert bleiben. In einem ähnlichen Experiment untersuchten wir die Eigenschaften von SiO2 beschichteten MnO NPs. Dafür wurde eigens eine neuartige SiO2-Beschichtungsmethode entwickelt, die einer nachfolgende weitere Anbindung verschiedenster Liganden und die Einlagerung von Fluoreszenzfarbstoffen durch herkömmliche Silan- Sol-Gel Chemie erlaubt. Die Partikel zeigten eine ausgezeichnete Stabilität in einer ganzen Reihe wässriger Lösungen, darunter auch physiologische Kochsalzlösung, Pufferlösungen und humanes Blutserum, und waren weniger anfällig gegenüber Mn-Ionenauswaschung als einfache PEGylierte MnO NPs. Des Weiteren konnte bewiesen werden, dass die dünne SiO2 Schicht nur einen geringen Einfluss auf das magnetische Verhalten der NPs hatte, so dass sie weiterhin als T1-Kontrastmittel verwendet werden können. Schließlich konnten zusätzlich FePt@MnO NPs hergestellt werden, welche die individuellen magnetischen Merkmale eines ferromagnetischen (FePt) und eines antiferromagnetischen (MnO) Materials vereinen. Wir zeigen, dass wir die jeweiligen Partikelgrößen, und damit das resultierende magnetische Verhalten, durch Veränderung der experimentellen Parameter variieren können. Die magnetische Wechselwirkung zwischen beiden Materialien kann dabei auf Spinkommunikation an der Grenzfläche zwischen beiden NP-Sorten zurückgeführt werden.rn