Minimum Fluidization Velocity At High Temperatures Based on Geldart Powder Classification

Sangeetha, V.; Swathy, R.; Narayanamurthy, N.; Lakshmanan, C.; Miranda, Luis R.

doi:10.1002/1521-4125(200008)23:8<713::aid-ceat713>3.0.co;2-x

Cited by 5 publications

(5 citation statements)

References 19 publications

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“…The correlation derived by Sangeetha et al is incorrect because φ s > 1. The same can be said of the correlations proposed by Adánez and Abanades 20 and Hartman et al…”

Section: Resultsmentioning

confidence: 93%

“…For beds of slag and ilmenite particles, the relationship between Ar and Re mf is linear (see Figures and ). Data on U mf reported by Sangeetha et al for 128-, 163-, and 200-μm ilmenite particles at ambient conditions are also included (Figure ). Because Re mf is less than 20 for both materials, the experimental results have been modeled using eq 8.…”

Section: Resultsmentioning

confidence: 99%

“…33.95 0.0465 0.51 0.62 Lucas et al 0.8 ≤ φ s ≤ 1.0 29.5 0.0357 0.42 0.84 0.5 ≤ φ s ≤ 0.8 32.1 0.0571 0.55 0.60 Wu and Baeyens 30.85 0.0379 0.44 0.78 Sangeetha et al 15.898 0.0201 0.26 2.00…”

Section: Resultsmentioning

confidence: 99%

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Fluidization and Flow Regimes of Titaniferous Solids

Luckos

Hoed

2004

Ind. Eng. Chem. Res.

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Physical properties of ilmenite and titania slag particlessproperties such as particle density, bulk density, packed-bed voidage and sphericityshave been determined for narrow size fractions ranging from 50 to 850 µm of each material. Particle sphericities measured by image analysis decrease with particle size. A comparison with other techniques shows that image analysis predicts lower values of sphericity. For both materials, the minimum fluidizing velocity, U mf , and transport velocity, U tr , were determined in air at room temperature and atmospheric pressure. The measured minimum fluidizing velocities are higher for ilmenite particles than for slag particles because the density and sphericity of the ilmenite are higher. Separate correlations for U mf , based on a simplified version of the Ergun equation, were fitted for ilmenite and slag particles. Both of these correlations tend to underestimate the minimum fluidizing velocity for small (<50-µm) particles. The experimental values of the transport velocity were fitted to a single equation, which predicts U tr for both materials with a maximum deviation not exceeding 8%. Flow-regime maps for the upward transport of Cl 2 -ilmenite and Cl 2 -slag systems at 1000 °C and 0.1 MPa were constructed.

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“…The correlation derived by Sangeetha et al is incorrect because φ s > 1. The same can be said of the correlations proposed by Adánez and Abanades 20 and Hartman et al…”

Section: Resultsmentioning

confidence: 93%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Fluidization and Flow Regimes of Titaniferous Solids

Luckos

Hoed

2004

Ind. Eng. Chem. Res.

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“…This is, however, rather time-consuming and costly, especially considering the fact that real industrial fluidized beds always operate under elevated temperatures and pressures. Chemical engineers always fitted the measured U mf with the properties of particles and gases and established corresponding empirical correlations for convenience. ,− However, the accuracy and consistency of empirical correlations are impaired since most of these correlations were developed based on the data with limited experiments, which are only applicable for the situations with the same solid–fluid system under similar experimental conditions. ,,,, For example, Gupta et al investigated the suitability of 79 correlations for fine tailings materials and found that most correlations underestimate the values of U mf . Anantharaman et al also found that most correlations are highly empirical and system-specified, which hinders their applicability if tested on systems outside their scope .…”

Section: Introductionmentioning

confidence: 99%

“…5,8−10 However, the accuracy and consistency of empirical correlations are impaired since most of these correlations were developed based on the data with limited experiments, which are only applicable for the situations with the same solid−fluid system under similar experimental conditions. 5,8,9,11,12 For example, Gupta et al investigated the suitability of 79 correlations for fine tailings materials and found that most correlations underestimate the values of U mf . 13 Anantharaman et al also found that most correlations are highly empirical and system-specified, which hinders their applicability if tested on systems outside their scope.…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Prediction of Minimum Fluidization Velocity in Gas-Fluidized Beds Using Data Extracted by Text Mining

Zhou

Liu

et al. 2021

Ind. Eng. Chem. Res.

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Minimum fluidization velocity (U mf ) is of fundamental importance in gas fluidization. Lots of empirical correlations have so far been reported in the literature to calculate U mf . However, U mf is affected by numerous factors, including, among others, the operation conditions and physical properties of both solids and gases. The applicability of empirical correlations relies essentially on the experiments upon which they were developed, and in practice, the choice of U mf is a matter of the knowledge and experience of chemical engineers. In this work, we proposed to establish a database by extracting experimental data of U mf from open literature using the text mining technique. We first presented a pipeline of natural language processing to identify and extract the functional parameters related to U mf with 83% accuracy from ∼40 000 papers. A database of U mf containing eight impacting factors, i.e., particle diameter, particle density, particle sphericity, bed voidage at minimum fluidization, gas density, gas viscosity, operating temperature, and pressure, was created. We then used a data-driven machine learning method with the extracting data to predict U mf , which is shown superior over the empirical correlations by achieving higher accuracy for a much wider range of gas−solid systems. We expect this work illustrates a potential and promising approach to make use of the huge amount of experimental data in the literature and replace the empirical correlations in practical chemical engineering design and operations.

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Towards a general correlation for minimum fluidization velocity in gas-fluidized beds: Based on a database mining from the literature

Zhou

Liu

2022

Chemical Engineering Science

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Minimum Fluidization Velocity At High Temperatures Based on Geldart Powder Classification

Cited by 5 publications

References 19 publications

Fluidization and Flow Regimes of Titaniferous Solids

Fluidization and Flow Regimes of Titaniferous Solids

Data-Driven Prediction of Minimum Fluidization Velocity in Gas-Fluidized Beds Using Data Extracted by Text Mining

Towards a general correlation for minimum fluidization velocity in gas-fluidized beds: Based on a database mining from the literature

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