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Rafael Font - One of the best experts on this subject based on the ideXlab platform.

  • Calculation of the compression zone height in continuous thickeners
    Aiche Journal, 2004
    Co-Authors: Rafael Font
    Abstract:

    A method to calculate the compression zone height in continuous thickeners is presented. With this method, it is necessary to know the variations of the pulp-supernatant interface and the sediment height vs. time in a Batch Test. This method is discussed considering the following aspects: relationship between the settling rate of solids and their concentration in the settling zone; and the compression of solids due to the squeeze transmitted by the upper layers—unbuoyed weight of particles minus force of friction due to the Darcian flow. When the variation of the sediment height vs. time becomes linear, it is possible to calculate the maximum solids concentration which can be reached by sedimentation. The change of the solids matrix permeability and its influence on the method proposed are also analyzed.

  • Simulation of Batch and continuous thickeners
    Chemical Engineering Science, 2001
    Co-Authors: Rafael Font, F Ruiz
    Abstract:

    Abstract The design of continuous thickeners from Batch Tests is considered on the basis of numerical simulations corresponding to both operations. The method proposed in other papers has been corroborated. The simulation has been carried out using dimensionless equations to generalize the discussion. The performance of the continuous thickener at non-steady state is studied following the evolution of the supernatant—suspension interface, the sediment interface and the lines of constant concentration. The utility of the Batch Test for designing continuous thickeners is discussed. The behaviour of continuous thickeners is analysed on the basis of the simulated results.

  • Semi-Batch Test of sedimentation. Application to design
    Chemical Engineering Journal, 2000
    Co-Authors: Rafael Font, M.l. Laveda
    Abstract:

    In a Batch Test of sedimentation with flocculated suspensions, from the evolution of the supernatant-suspension discontinuity height with time, it is possible to obtain the design parameters for continuous gravity thickeners. Nevertheless, the design is only approximate because normally the surface height of the sediment, growing on the bottom of the cylinder, is not visible. On the other hand, the design corresponds to sediment heights much smaller than the initial height of the Batch Tests, and consequently to very small sediment heights. In the method presented in this paper, the semi-Batch Test is carried out with periodical withdrawals of supernatant and additions of fresh suspension at the top of the liquid, obtaining a zig-zag variation. Considering the Kynch theorems, that are applicable to the suspension above the sediment, it is possible to obtain the variation of the sediment surface height versus time, and this sediment height can be close to the initial height of the suspension. In this way, it is possible to obtain the exact relationship between the settling flux density of solids in the hindered settling or non-compression zone, and consequently the design parameters for a continuous thickener can be obtained for an underflow solids concentration range and sediment height range wider than those obtained from a Batch Test.

  • Analysis of the Variation of the Upper Discontinuity in Sedimentation Batch Test
    Separation Science and Technology, 1998
    Co-Authors: Rafael Font, P. Garcı́a, Manuel Pérez
    Abstract:

    ABSTRACT Variations of the supernatant-suspension discontinuity in Batch sedimentation Tests are examined using numerical simulation, considering the corresponding momentum laws for the noncompression zone and for the compression zone separately. A generalized treatment, considering some assumptions that are discussed, and introducing dimensionless variables is carried out. The paper analyses the variations of the derivative of the supernatant-suspension discontinuity height with respect to time versus the ratio of the supernatant-suspension discontinuity height to the initial supernatant-suspension discontinuity height. In cases where it is possible to estimate the location of the characteristic that rises from the bottom tangently to the sediment surface in a height-time diagram, the value of the critical solids concentration (boundary between hindered settling zone and compression zone) can be obtained. Another important contribution is the mathematical explanation of the exponential decrease of the se...

Simon Walters - One of the best experts on this subject based on the ideXlab platform.

  • Production Testing of spark plugs using a neural network
    Lecture Notes in Computer Science, 2005
    Co-Authors: Simon Walters, P.a. Howson, Bob R. J. Hewlett
    Abstract:

    Despite nearly 150 years' evolution, there have been relatively few advances in the design, and methods of production Testing, of spark plugs. For years, an ingenious yet relatively simple go/no go Batch Test has been favoured, yet this Testing solution exhibits some major disadvantages. This paper describes an alternative method of spark plug Testing, offering elementary diagnosis of faults as well as detection. In this functional Test regime, spark voltage waveforms are classified using a neural network. The promising results of this experimental work indicate that neural networks may offer considerable potential for the future of spark plug Testing.

  • KES (4) - Production Testing of spark plugs using a neural network
    Lecture Notes in Computer Science, 2005
    Co-Authors: Simon Walters, P.a. Howson, Bob R. J. Howlett
    Abstract:

    Despite nearly 150 years' evolution, there have been relatively few advances in the design, and methods of production Testing, of spark plugs. For years, an ingenious yet relatively simple “go/no go” Batch Test has been favoured, yet this Testing solution exhibits some major disadvantages. This paper describes an alternative method of spark plug Testing, offering elementary diagnosis of faults as well as detection. In this functional Test regime, spark voltage waveforms are classified using a neural network. The promising results of this experimental work indicate that neural networks may offer considerable potential for the future of spark plug Testing.

Bob R. J. Hewlett - One of the best experts on this subject based on the ideXlab platform.

  • Production Testing of spark plugs using a neural network
    Lecture Notes in Computer Science, 2005
    Co-Authors: Simon Walters, P.a. Howson, Bob R. J. Hewlett
    Abstract:

    Despite nearly 150 years' evolution, there have been relatively few advances in the design, and methods of production Testing, of spark plugs. For years, an ingenious yet relatively simple go/no go Batch Test has been favoured, yet this Testing solution exhibits some major disadvantages. This paper describes an alternative method of spark plug Testing, offering elementary diagnosis of faults as well as detection. In this functional Test regime, spark voltage waveforms are classified using a neural network. The promising results of this experimental work indicate that neural networks may offer considerable potential for the future of spark plug Testing.

Bob R. J. Howlett - One of the best experts on this subject based on the ideXlab platform.

  • KES (4) - Production Testing of spark plugs using a neural network
    Lecture Notes in Computer Science, 2005
    Co-Authors: Simon Walters, P.a. Howson, Bob R. J. Howlett
    Abstract:

    Despite nearly 150 years' evolution, there have been relatively few advances in the design, and methods of production Testing, of spark plugs. For years, an ingenious yet relatively simple “go/no go” Batch Test has been favoured, yet this Testing solution exhibits some major disadvantages. This paper describes an alternative method of spark plug Testing, offering elementary diagnosis of faults as well as detection. In this functional Test regime, spark voltage waveforms are classified using a neural network. The promising results of this experimental work indicate that neural networks may offer considerable potential for the future of spark plug Testing.

P.a. Howson - One of the best experts on this subject based on the ideXlab platform.

  • Production Testing of spark plugs using a neural network
    Lecture Notes in Computer Science, 2005
    Co-Authors: Simon Walters, P.a. Howson, Bob R. J. Hewlett
    Abstract:

    Despite nearly 150 years' evolution, there have been relatively few advances in the design, and methods of production Testing, of spark plugs. For years, an ingenious yet relatively simple go/no go Batch Test has been favoured, yet this Testing solution exhibits some major disadvantages. This paper describes an alternative method of spark plug Testing, offering elementary diagnosis of faults as well as detection. In this functional Test regime, spark voltage waveforms are classified using a neural network. The promising results of this experimental work indicate that neural networks may offer considerable potential for the future of spark plug Testing.

  • KES (4) - Production Testing of spark plugs using a neural network
    Lecture Notes in Computer Science, 2005
    Co-Authors: Simon Walters, P.a. Howson, Bob R. J. Howlett
    Abstract:

    Despite nearly 150 years' evolution, there have been relatively few advances in the design, and methods of production Testing, of spark plugs. For years, an ingenious yet relatively simple “go/no go” Batch Test has been favoured, yet this Testing solution exhibits some major disadvantages. This paper describes an alternative method of spark plug Testing, offering elementary diagnosis of faults as well as detection. In this functional Test regime, spark voltage waveforms are classified using a neural network. The promising results of this experimental work indicate that neural networks may offer considerable potential for the future of spark plug Testing.