Settling velocities of particulate systems: 9. Phenomenological theory of sedimentation processes: numerical simulation of the transient behaviour of flocculated suspensions in an ideal batch or continuous thickener

Bürger, Raimund; Bustos, María Cristina; Concha, F.

doi:10.1016/s0301-7516(98)00037-4

Cited by 65 publications

(32 citation statements)

References 16 publications

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“…The choice of f D is subject to the requirement that the concentration increases downwards. See Bürger et al (1999) and Bürger and Concha (1998) for details. Consider the three steady states with parameters given in Table 1.…”

Section: Continuous Thickening Of F Locculated Suspensionsmentioning

confidence: 99%

A Century of Research in Sedimentation and Thickening

Concha

Bürger

2002

KONA

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Section: Continuous Thickening Of F Locculated Suspensionsmentioning

confidence: 99%

A Century of Research in Sedimentation and Thickening

Concha

Bürger

2002

KONA

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“…Many models have been developed for settling of flocculent particles in suspension. In a series of papers [4][5][6][7][8][9], presented a phenomenological theory of sedimentation of flocculated suspensions, which provides a valuable framework for the simulation of batch and continuous thickening of suspensions. Also, in a numerical method introduced by [10], a software was developed for the simulation of batch and continuous thickening of suspensions.…”

Section: Conditioner Dewaterability Sewage Sludgementioning

confidence: 99%

Effect of Conditioner on Dewaterability of Sewage Sludge

Obianyo¹,

Agunwamba²

2014

Nig. J. Tech.

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ABSTRACT ABSTRACTA model for dewaterability of conditioned sludge was derived A model for dewaterability of conditioned sludge was derived A model for dewaterability of conditioned sludge was derived A model for dewaterability of conditioned sludge was derived experiments experiments experiments experiments using six sand drying beds using six sand drying beds using six sand drying beds using six sand drying beds conditioner and served as control experiment. Ferric Chloride was added to the remaining five beds in the conditioner and served as control experiment. Ferric Chloride was added to the remaining five beds in the conditioner and served as control experiment. Ferric Chloride was added to the remaining five beds in the conditioner and served as control experiment. Ferric Chloride was added to the remaining five beds in the neighborhood of 1%, 2%, 3%, 4%, and 5% respectively, corresponding to 30g, 60g, 9 neighborhood of 1%, 2%, 3%, 4%, and 5% respectively, corresponding to 30g, 60g, 9 neighborhood of 1%, 2%, 3%, 4%, and 5% respectively, corresponding to 30g, 60g, 9 neighborhood of 1%, 2%, 3%, 4%, and 5% respectively, corresponding to 30g, 60g, 9 Seepage (sg) was derived as a linear function of time Seepage (sg) was derived as a linear function of time Seepage (sg) was derived as a linear function of time Seepage (sg) was derived as a linear function of time regression regression regression regression of seepage against time corresponding to 30g, 60g, 90g, 120g and 150g are 0. 860, 0.844, 0.781, 0.722 of seepage against time corresponding to 30g, 60g, 90g, 120g and 150g are 0.860, 0.844, 0.781, 0.722 of seepage against time corresponding to 30g, 60g, 90g, 120g and 150g are 0.860, 0.844, 0.781, 0.722 of seepage against time corresponding to 30g, 60g, 90g, 120g and 150g are 0.860, 0.844, 0.781, 0.722 and 0 and 0 and 0 and 0.535 .535 .535.535 respectively. respectively. respectively. respectively. Moisture content of sludge was 86.69% when no coagulant was added, it was 69.47%, Moisture content of sludge was 86.69% when no coagulant was added, it was 69.47%, Moisture content of sludge was 86.69% when no coagulant was added, it was 69.47%, Moisture content of sludge was 86.69% when no coagulant was added, it was 69.47%, 57.32%, 54.01%, 52.79% and 47.81% when 30g, 60g, 90g, 120g and 150g doses were used with a range of 38.88%. 57.32%, 54.01%, 52.79% and 47.81% when 30g, 60g, 90g, 120g and 150g doses were used with a range of 38.88%. 57.32%, 54.01%, 52.79% and 47.81% when 30g, 60g, 90g, 120g and 150g doses were used with a range of 38.88%. 57.32%, 54.01%, 52.79% and 47.81% when 30g, 60g, 90g, 120g and 150g doses were used with a range of 38.88%. Dewaterability enhancement ratio was 1:1 for co Dewaterability enhancement ratio was 1:1 for co Dewaterability enhancement ratio was 1:1 for co Dewaterability enhancement ratio was 1:1 for co for 30g, 60g, 90g, 120g, and 150g doses respectively for 30g, 60g, 90g, 120g, and 150g doses respectively for 30g, 60g, 90g, 120g, and 150g doses respectively for ...

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“…This can be modelled by a one-dimensional PDE which includes a diffusion term. This term requires another constitutive relation, namely the effective solid stress, or compressive yield stress, as a function of the concentration, see Auzerais et al (1988), Bürger et al (1999Bürger et al ( , 2000d, Buscall and White (1987), Buscall (1990), Concha et al (1996), Davis and Russel (1989), Howells et al (1990) and Landman and White (1994). The case of a strongly degenerate parabolic PDE, when the diffusion term vanishes below the critical concentration, has been analysed thoroughly by Bürger et al (2000b,c), Bürger and Wendland (1998a,b), Evje and Karlsen (2000) and Karlsen et al (2002Karlsen et al ( , 2003.…”

Section: Kinematic Sedimentation Modelsmentioning

confidence: 99%

Estimation of the batch-settling flux function for an ideal suspension from only two experiments

Diehl

2007

Chemical Engineering Science

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Settling velocities of particulate systems: 9. Phenomenological theory of sedimentation processes: numerical simulation of the transient behaviour of flocculated suspensions in an ideal batch or continuous thickener

Cited by 65 publications

References 16 publications

A Century of Research in Sedimentation and Thickening

A Century of Research in Sedimentation and Thickening

Effect of Conditioner on Dewaterability of Sewage Sludge

Estimation of the batch-settling flux function for an ideal suspension from only two experiments

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