1、Pre-sales engineer471 articles found for: pub-date 2008 and tak(Computer theory) or (basic knowledge) or (operating systems) or storage or (Debug network equipment) or (network fault analysis) or judgments or solving) and ( Server or disk or (array product) or EMC or HP or IBM or NETAPP or (disk arr
2、ay products) or Pre-sales or engineer)Bifurcation and chaos analysis of spur gear pair with and without nonlinear suspensionOriginal Research ArticleNonlinear Analysis: Real World ApplicationsThis study performs a systematic analysis of the dynamic behavior of a single degree-of-freedom spur gear sy
3、stem with and without nonlinear suspension. The dynamic orbits of the system are observed using bifurcation diagrams plotted using the dimensionless damping coefficient and the dimensionless rotational speed ratio as control parameters. The onset of chaotic motion is identified from the phase diagra
4、ms, power spectra, Poincar maps, Lyapunov exponents and fractal dimension of the gear system. The numerical results reveal that the system exhibits a diverse range of periodic, sub-harmonic and chaotic behaviors. The results presented in this study provide an understanding of the operating condition
5、s under which undesirable dynamic motion takes place in a spur gear system and therefore serve as a useful source of reference for engineers in designing and controlling such systems.Article OutlineNomenclature1. Introduction2. Mathematical modeling3. Analytical tools for observing nonlinear dynamic
6、s of spur gear pair system 3.1. Dynamic trajectories and Poincar maps3.2. Power spectrum3.3. Bifurcation diagram3.4. Lyapunov exponent3.5. Fractal dimension4. Numerical results and discussions5. ConclusionsAnalysis of the finite source MAP/PH/N retrial G-queue operating in a random environmentApplie
7、d Mathematical ModellingFinite source retrial G-queues are good mathematical models of communication systems and networks, so their investigation is important for theory and applications. In this paper, we analyze the MAP/PH/N retrial queue with finite number of sources and MAP arrivals of negative
8、customers operating in a finite state Markovian random environment. The arrival of a negative customer with equal probability goes to any busy server to remove the customer being in service. The multi-dimensional Markov chain describing the behavior of the system is investigated. The algorithms for
9、calculating the stationary state probabilities are elaborated. Main performance measures are obtained. Illustrative numerical examples are presented.2. Model description3. Process of the system states4. Stationary distribution5. Performance measures6. Numerical examples7. ConclusionsAcknowledgements
10、ReferencesMolecular thermodynamics modeling of equilibrium moisture in foodsJournal of Food EngineeringMoisture content in foods affects many aspects of processing and storage, as well as quality and pathological activity. Understanding its behavior is very important in the food industry for designi
11、ng effective long-term food management strategies, in particular transportation and storage. Most approaches found in the literature dealing with moisture in foods consist of measuring it as a function of relative humidity and temperature and then fitting the data to empirical or semi-empirical mode
12、ls for interpolation or correlation purposes. Most semi-empirical models are modifications of early gas adsorption models on hard surfaces, which fundamentally are not well suited to describe water in softer materials such as foods. In this work, we propose and use a more general framework based on
13、equilibrium molecular thermodynamics to model and correlate equilibrium moisture content (EMC) in foods that takes into account other non-adsorption phenomena such as mixing and swelling of the biopolymers in foods. The framework is general, and the current model shows very good results correlating
14、and modeling EMC. The model parameters provide insight into the nature of the water activity in food products, providing potentially useful information for food processing and modeling.1. Introduction 1.1. EMC Modeling background2. Methodology 2.1. Helmholtz free energy expressions2.2. Chemical potential expressions2.3. Equilibrium formulation3. Results and discussion 3.1. Rice and potatoes3.2. Other softer foods4. ConclusionsNumerical solutions for functionally graded solids under thermal and mechanical loads using a high-order control volume fini
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