Determination of the mixing time in a discontinuous powder mixer by using image analysis

Daumann, Björn; Fath, Abdelkrim; Anlauf, Harald; Nirschl, Hermann

doi:10.1016/j.ces.2009.01.032

Cited by 37 publications

(13 citation statements)

References 31 publications

(9 reference statements)

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“…Image analysis seems to be a good technique to analyze a tracer in a powder blend, as already shown in literature (Daumann et al, 2009). In the present work, an image analysis technique has been set up to quantify the proportion of colored semolina.…”

Section: Semolina Tracermentioning

confidence: 79%

Powder flow dynamics in a horizontal convective blender: Tracer experiments

Legoix

Gatumel

Milhé

et al. 2017

Chemical Engineering Research and Design

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The stirring of powders of different flow behavior, namely one free-flowing (semolina) and one cohesive (lactose) is investigated in a four-blade horizontal convective mixer. The kinetics of homogenization are investigated for each powder separately, thanks to tracer experiments performed with colored semolina and talc, respectively tracers of the freeflowing and of the cohesive powder. Different stirring times and rotational speeds of the impeller are studied. Three flow mechanisms are identified: convection, avalanching and diffusion. Convection conveys important amounts of powder near the blades, while the avalanching mechanism takes place on the powder bed surface. Diffusion, which is the slowest mechanism, allows powder transport to the zones of the blender in which blades do not pass through. The final tracer dispersion in the blender's volume is better for the free-flowing powder than for the cohesive powder, and is enhanced by an increase of the rotational speed. A simple Markov chain model based on the identified mechanisms is developed as a basis for discussion of the results. * Corresponding author. a liquid. Concerning dry powders, this attraction is mainly due to Van Der Waals forces that can be considered as more important than gravity when particle size is smaller than 100 m (Bridgwater, 1976). Two main technologies are employed to mix powders: convective mixers for which the vessel is fixed and an impeller allows the motion of the bulk; tumbling mixers for which the vessel itself is put into motion. Powder mixing in tumbling blenders have been studied, for both free-flowing and cohesive powders (Aoun-Habbache et al., 2002;

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Section: Semolina Tracermentioning

confidence: 79%

Powder flow dynamics in a horizontal convective blender: Tracer experiments

Legoix

Gatumel

Milhé

et al. 2017

Chemical Engineering Research and Design

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“…Non-invasive methods do not disrupt the mixing process to determine its mixing quality [7]. Because of this, these methods present more accurate data and analysis on the mixing process [8].…”

Section: Non-invasive Methods For Mixing Quality Determinationmentioning

confidence: 99%

A review of image processing technique in particle mixing analysis

Rahman

Zuki

Yassin

2012

2012 IEEE 8th International Colloquium on Signal Processing and Its Applications

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Many industries, such as chemical, mining, food, pharmaceutical and agriculture require mixing as part of the production process. Several industries such as pharmaceutical and mining, mixing is a critical process that plays a significant role towards the quality of the final product. The mixing process, therefore, must be scrutinized to ensure homogeneity of mixtures. The characteristics of a mixing process can be analysed by either invasive or non-invasive method. Because of disadvantages of invasive methods, non-invasive methods such as Positron Emission Particle Tracking (PEPT), Discrete Element Model (DEM) Simulation and Magnetic Resonance Imaging (MRI) have been used to analyze the mixing process. However, these non-invasive methods used high and advanced technology in their applications. Moreover, they are expensive techniques and require stringent safety procedures. Therefore, image processing has become an interesting new method for studying particle property and a necessary means for particles analysis. This paper presents a review of image processing applications in mixing. The paper begins with a review of invasive and non-invasive methods for evaluating mixing characteristics, followed by a review of recent application of image processing techniques for mixing process.

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“…9, the increased agglomerate or surface moisture for the star agitator after mixing times of t M ≥ 300 s leads to increased adhesion forces according to [19] and [20] such that agglomerates larger than those of the pin agitator can be formed. Further published findings on mixing and agglomeration in batch powder mixers can be found in [21,22]. …”

Section: Mixing Testsmentioning

confidence: 96%

Mixing Agglomeration in a High‐Shear Mixer with a Stirred Mixing Vessel

et al. 2010

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This paper deals with the agglomeration process in a high-shear mixer. Highshear mixers rotate with a very high mixing tool speed such that not only a mixing effect, but also a grinding effect is achieved. The parameter study reported here was carried out to determine the parameters influencing mixing agglomeration. The results will help the user to decide which parameters have to be considered for an optimum mixing agglomeration. This article will highlight some of the findings obtained from the comprehensive parameter study.

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Determination of the mixing time in a discontinuous powder mixer by using image analysis

Cited by 37 publications

References 31 publications

Powder flow dynamics in a horizontal convective blender: Tracer experiments

Powder flow dynamics in a horizontal convective blender: Tracer experiments

A review of image processing technique in particle mixing analysis

Mixing Agglomeration in a High‐Shear Mixer with a Stirred Mixing Vessel

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