930 resultados para Creo Parametric


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[ES]Mediante este trabajo se va a diseñar un mecanismo para crear un sistema de suspensión progresiva para la suspensión trasera de una motocicleta a partir de un muelle lineal. El muelle introducido en la suspensión será lineal, por lo tanto, tendrá una sola rigidez, constante y la cual delimita el muelle, pero gracias a un mecanismo diseñado especialmente para la suspensión trasera de una moto, se va conseguir que la rigidez varíe. El mecanismo utilizado para este trabajo se llama Pro-Link y la empresa que lo emplea es Honda. Para ello, se creará un esquema del mecanismo en sí y tras un análisis cinemático mediante el programa Creo Parametric, y haciendo varios cambios en el sistema para ajustarlo a la mejor progresividad posible, se obtendrá la gráfica en la que se observará la curva que marca la rigidez progresiva. Esto es, se verá la evolución de la nueva rigidez dependiendo de la oscilación vertical de la rueda. Por otra parte, gracias a un análisis dinámico del mismo programa se conseguirán las reacciones del sistema y se calcularán los elementos auxiliares de éste para el buen funcionamiento del mismo. Finalmente, se creará el diseño del triángulo y un diseño preliminar del basculante mediante el método de elementos finitos del programa.

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[EU]Gradu amaierako lan honetan, baskulatzaile baten orejeten diseinua eta optimizazio erresistentea burutuko dira. Orejeta horien betebeharra, esekidura-triangeluaren eta baskulatzailearen arteko lotura izatea izango da. Diseinua eta optimizazio erresistentea garatzeko egin behar diren elementu finituen analisiak, PTC Creo Parametric softwarearen bidez gauzatuko dira. Proiektu honen abiapuntua, motostudent lehiaketako motozikleta baten baskulatzailea da. Honi aipatutako orejetak gehitu beharko zaizkio, eta horien optimizazio erresistentea lortu. Optimizazioa bilatzeko orejeten lehen bertsio bat diseinatuko da. Behin orejetak baskulatzaileari erantsita, elementu finituen analisiak burutuko dira orejeten bariazio geometriko desberdinekin. Analisi horien helburua, orejetek geometria optimoena izatea da, agertzen diren tentsioak neke-tentsio onargarria baino txikiagoak izanik.

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Questo elaborato riguarda il dimensionamento di un motore brushless lineare utilizzato in un piano vibrante per l’alimentazione di fiale, flaconi e carpule in macchine per il packaging farmaceutico: in particolare con questo piano vibrante si alimentano macchine astucciatrici e termoformatrici. Con packaging farmaceutico si intente tutto ciò che comporta il confezionamento di prodotti legati al mercato farmaceutico, ma macchinari simili soddisfano anche il mercato per il confezionamento di prodotti alimentari e cosmetici. Il piano vibrante descritto nella trattazione, svolge sia la funzione di alimentazione del prodotto nella macchina, sia quella di buffer. La tesi è stata svolta all’interno di Marchesini Group S.p.a., gruppo industriale fondato nel 1974 che vanta una posizione di livello mondiale nel settore delle macchine automatiche: in particolare si occupa dell’automazione per packaging nel settore farmaceutico, cosmetico e alimentare. Avendo dovuto fare un intervento di sostituzione di un motore su un gruppo già in funzione, nella riprogettazione dei particolari si è cercato di apportare il minor numero di modifiche possibile, per minimizzare il numero di pezzi da sostituire qualora un motore in funzione si rompa o venga danneggiato. Questo studio mi ha dato la possibilità di approfondire diversi aspetti della progettazione meccanica: in particolare ho avuto la possibilità di utilizzare Creo Parametric, il programma di disegno 3D usato in Marchesini, e quindi approfondire molteplici aspetti e regole del disegno e della messa in tavola. Insieme a questo, oltre a studiare le diverse tipologie di motori lineari ho potuto approfondire i metodi di scelta di un motore lineare, consultando anche i fornitori.

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This paper presents a detailed description of the influence of critical parameters that govern the vulnerability of columns under lateral impact loads. Numerical simulations are conducted by using the Finite Element program LS-DYNA, incorporating steel reinforcement, material models and strain rate effects. A simplified method based on impact pulse generated from full scale impact tests is used for impact reconstruction and effects of the various pulse loading parameters are investigated under low to medium velocity impacts. A constitutive material model which can simulate failures under tri-axial state of stresses is used for concrete. Confinement effects are also introduced to the numerical simulation and columns of Grade 30 to 50 concrete under pure axial loading are analysed in detail. This research confirmed that the vulnerability of the axially loaded columns can be mitigated by reducing the slenderness ratio and concrete grade, and by choosing the design option with a minimal amount of longitudinal steel. Additionally, it is evident that approximately a 50% increase in impact capacity can be gained for columns in medium rise buildings by enhancing the confinement effects alone. Results also indicated that the ductility as well as the mode of failure under impact can be changed with the volumetric ratio of lateral steel. Moreover, to increase the impact capacity of the vulnerable columns, a higher confining stress is required. The general provisions of current design codes do not sufficiently cover this aspect and hence this research will provide additional guidelines to overcome the inadequacies of code provisions.

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Objectives The objectives of this project were two-fold: • Assess the ease with which current architectural CAD systems supported the use ofparametric descriptions in defining building shape, engineering system performance and cost at the early stages of building design; • Assess the feasibility of implementing a software decision support system that allowed designers to trade-off the characteristics and configuration of various engineering systems to move towards a “global optimum” rather than considering each system in isolation and expecting humans to weigh up all of the costs and benefits. The first stage of the project consisted of using four different CAD systems to define building shells (envelopes) with different usages. These models were then exported into a shared database using the IFC information exchange specifications. The second stage involved the implementation of small computer programs that were able to estimate relevant system parameters based on performance requirements and the constraints imposed by the other systems. These are presented in a unified user interface that extracts the appropriate building shape parameters from the shared database Note that the term parametric in this context refers to the relationships among and between all elements of the building model - not just geometric associations - which will enable the desired coordination.

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A parametric study was carried out to investigate the effects on reconstructed images from a ground penetrating radar (GPR) due to (a) the centre frequency of the GPR excitation pulse, (b) the height of transmitting and receiving antennas above ground level, and (c) the proximity of the buried objects. An integrated software package was developed to streamline the computer simulation based on synthetic data generated by GPRMax.

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Survival probability prediction using covariate-based hazard approach is a known statistical methodology in engineering asset health management. We have previously reported the semi-parametric Explicit Hazard Model (EHM) which incorporates three types of information: population characteristics; condition indicators; and operating environment indicators for hazard prediction. This model assumes the baseline hazard has the form of the Weibull distribution. To avoid this assumption, this paper presents the non-parametric EHM which is a distribution-free covariate-based hazard model. In this paper, an application of the non-parametric EHM is demonstrated via a case study. In this case study, survival probabilities of a set of resistance elements using the non-parametric EHM are compared with the Weibull proportional hazard model and traditional Weibull model. The results show that the non-parametric EHM can effectively predict asset life using the condition indicator, operating environment indicator, and failure history.

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Distributed Denial-of-Service (DDoS) attacks continue to be one of the most pernicious threats to the delivery of services over the Internet. Not only are DDoS attacks present in many guises, they are also continuously evolving as new vulnerabilities are exploited. Hence accurate detection of these attacks still remains a challenging problem and a necessity for ensuring high-end network security. An intrinsic challenge in addressing this problem is to effectively distinguish these Denial-of-Service attacks from similar looking Flash Events (FEs) created by legitimate clients. A considerable overlap between the general characteristics of FEs and DDoS attacks makes it difficult to precisely separate these two classes of Internet activity. In this paper we propose parameters which can be used to explicitly distinguish FEs from DDoS attacks and analyse two real-world publicly available datasets to validate our proposal. Our analysis shows that even though FEs appear very similar to DDoS attacks, there are several subtle dissimilarities which can be exploited to separate these two classes of events.

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There is a growing need for parametric design software that communicates building performance feedback in early architectural exploration to support decision-making. This paper examines how the circuit of design and analysis process can be closed to provide active and concurrent feedback between architecture and services engineering domains. It presents the structure for an openly customisable design system that couples parametric modelling and energy analysis software to allow designers to assess the performance of early design iterations quickly. Finally, it discusses how user interactions with the system foster information exchanges that facilitate the sharing of design intelligence across disciplines.

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This paper seeks to identify and quantify sources of the lagging productivity in Singapore’s retail sector as reported in the Economic Strategies Committee 2010 report. A two-stage analysis is adopted. In the first stage, the Malmquist productivity index is employed which provides measures of productivity change, technological change and efficiency change. In the second stage, technical efficiency estimates are regressed against explanatory variables based on a truncated regression model. Sources of technical efficiency were attributed to quality of workers while product assortment and competition negatively impacted on efficiency.

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Forecasts generated by time series models traditionally place greater weight on more recent observations. This paper develops an alternative semi-parametric method for forecasting that does not rely on this convention and applies it to the problem of forecasting asset return volatility. In this approach, a forecast is a weighted average of historical volatility, with the greatest weight given to periods that exhibit similar market conditions to the time at which the forecast is being formed. Weighting is determined by comparing short-term trends in volatility across time (as a measure of market conditions) by means of a multivariate kernel scheme. It is found that the semi-parametric method produces forecasts that are significantly more accurate than a number of competing approaches at both short and long forecast horizons.

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Quantifying spatial and/or temporal trends in environmental modelling data requires that measurements be taken at multiple sites. The number of sites and duration of measurement at each site must be balanced against costs of equipment and availability of trained staff. The split panel design comprises short measurement campaigns at multiple locations and continuous monitoring at reference sites [2]. Here we present a modelling approach for a spatio-temporal model of ultrafine particle number concentration (PNC) recorded according to a split panel design. The model describes the temporal trends and background levels at each site. The data were measured as part of the “Ultrafine Particles from Transport Emissions and Child Health” (UPTECH) project which aims to link air quality measurements, child health outcomes and a questionnaire on the child’s history and demographics. The UPTECH project involves measuring aerosol and particle counts and local meteorology at each of 25 primary schools for two weeks and at three long term monitoring stations, and health outcomes for a cohort of students at each school [3].

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The mining environment presents a challenging prospect for stereo vision. Our objective is to produce a stereo vision sensor suited to close-range scenes consisting mostly of rocks. This sensor should produce a dense depth map within real-time constraints. Speed and robustness are of foremost importance for this application. This paper compares a number of stereo matching algorithms in terms of robustness and suitability to fast implementation. These include traditional area-based algorithms, and algorithms based on non-parametric transforms, notably the rank and census transforms. Our experimental results show that the rank and census transforms are robust with respect to radiometric distortion and introduce less computational complexity than conventional area-based matching techniques.