40 research outputs found

    Assessment of Various Methods in Solving Inverse Heat Conduction Problems

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    Linear stability analysis of finite length journal bearings in laminar and turbulent regimes

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    Dynamic coefficients of a finite length journal bearing are numerically calculated under laminar and turbulent regimes based on Ng-Pan-Elrod and Constantinescu models. Linear stability charts of a flexible rotor supported on laminar and turbulent journal bearings are found by calculating the threshold speed of instability associated to the start of instable oil whirl phenomenon. Local journal trajectories of the rotor-bearing system were found at different operating conditions solely based on the calculated dynamic coefficients in laminar and turbulent flow. Results show no difference between laminar and turbulent models at low loading while significant change of the size of the stable region was observed by increasing the Reynolds number in turbulent models. Stable margins based on the laminar flow at relatively low Sommerfeld numbers S ? 0. 05 were shown to fall inside the unstable region and hence rendering the laminar stability curves obsolete at high Reynolds numbers. Ng-Pan turbulent model was found to be generally more conservative and hence is recommended for rotor-bearing design. 1 Institution of Mechanical Engineers.The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The authors would like to thank the Qatar National Research Fund (QNRF) for partially funding this project.Scopu

    Identifying crack parameters in slow rotating machinery using vibration measurements and hybrid neuro-particle swarm technique

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    Low-cycle fatigue-initiated cracks may result in failure in slow-rotating equipments. Online monitoring to identify such fault/crack parameters, namely crack size and crack location, would be critical in providing an early warning signal to the operator and would be used in calculating estimate about the remaining safe life of the equipment in operation. In an earlier study, a scaled-down slow-rotating washer drum was constructed to experimentally investigate the vibrations of a cracked rotor and/or drums. Cracks were simulated using the bolt removal method (BRM), and the vibration signals identifying signatures of certain cracks were measured. Thereafter, a 3D finite element model was used to solve the forward analysis of the inverse problem of crack identification. In this paper, the scaled-down experimental setup is introduced to cracks at different locations of the drum/rotor. Vibration signals identifying signatures of such cracks are measured. Since noisy signals, similar patterns of faults, and similar vibration fault signals create particular challenges for feature extraction systems, two techniques for feature extraction are considered and compared in this work. The fast Fourier transform (FFT) of the vibration signals showing variation in amplitude of the harmonics as time progresses are presented for comparison with the full time signal feature extraction. A hybrid particle-swarm artificial Neural Networks (neuroparticle swarm) is used to identify both the crack size andcrack location. The hybrid neuro-particle swarm technique is compared with the previously investigated fuzzy genetic algorithms. 2010 by ASME.Scopus2-s2.0-8488145829

    A Robust Modification to the Universal Cavitation Algorithm in Journal Bearings

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    In the current study, a modified fast converging, mass-conserving, and robust algorithm is proposed for calculation of the pressure distribution of a cavitated axially grooved journal bearing based on the finite volume discretization of the Adams/Elrod cavitation model. The solution of cavitation problem is shown to strongly depend on the specific values chosen for the lubricant bulk modulus. It is shown how the new proposed scheme is capable of handling the stiff discrete numerical system for any chosen value of the lubricant bulk modulus (β) and hence a significant improvement in the robustness is achieved compared to traditionally implemented schemes in the literature. Enhanced robustness is shown not to affect the accuracy of the obtained results, and the convergence speed is also shown to be considerably faster than the widely used techniques in the literature. Effects of bulk modulus, static load, and mesh size are studied on numerical stability of the system by means of eigenvalue analysis of the coefficient matrix of the discrete numerical system. It is shown that the impact of static load and mesh size is negligible on numerical stability compared to dominant significance of varying bulk modulus values. Common softening techniques of artificial bulk modulus reduction is found to be tolerable with maximum two order of magnitudes reduction of β to avoid large errors of more than 3-40% in calculated results.The authors would like to thank Qatar National Research Fund (QNRF) for partially funding this project

    Dynamic analysis of free-falling penetrometers in soil deposits

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    The simulation of free falling objects penetrating seabed soil deposits is one of the most sophisticated and challenging problems encountered in numerical modelling when using the Finite Element Method. This paper describes a robust numerical method for dealing with such complex and difficult problems. The approach is based on the Arbitrary Lagrangian-Eulerian (ALE) method of analysis, whose main features and challenges are described briefly in the paper. Application of this method to the simulation of dynamic penetration of instruments into undrained layers of uniform soil is discussed in some detail and comparisons with experimental observations are made

    Plane plastic flow of porous metals

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