Abstract
Particle size plays a major role in segregation phenomena in mixing process. In pharmaceutical industry, it is essential to have a proper analysis to make sure that the good product is well mixed and to prevent segregation. In this study, Digital Image processing has been used as an alternative method to thief probe, to study the effect of particle size on mixing and segregation process. The experiment started with execution of image acquisition process of mixing process. The images taken were further analyzed using Image Processing Tool in MATLAB software. The experiments were done with two different arrangement of particle in the bed using air velocity of 0.94 ms−1. The mixture was considered to be well mixed when the intensity of red of colour histogram is approximately constant. For the layered position, the good mixing time for set 1, 2, 3 and 4 were achieved at 62, 84, 86 and 74 s respectively. Then, for random position, homogeneous mixture were achieved at 62, 76, 82 and 72 s for set 1, 2, 3 and 4 respectively. This finding has been quantified by using Lacey Mixing Index where the value obtained was nearly to 1.0 which showed uniform mixing.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Susana L, Canu P, Santomaso AC (20100) Development and characterization of a new thief sampling device for cohesive powders. Int J Pharm 416:260–267
Allen T (1981) Powder technology theory. Chapman & Hall, London
Kaye BH (1997) Powder mixing. Chapman & Hall, London
Chaikittisilp W, Taenumtrakul T, Boonsuwan P, Tanthapanichakoon W, Charinpanitkul T (2006) Analysis of solid particle mixing in inclined fluidized beds using DEM simulation. Chem Eng J 122:21–29
Di Renzo A, Di Maio FP, Girimonte R, Formisani B (2008) DEM simulation of the mixing equilibrium in fluidized beds of two solids differing in density. Powder Technol 184:214–223
Richardson JC, Bowtell RW, Mäder K, Melia CD (2005) Pharmaceutical applications of magnetic resonance imaging (MRI). Adv Drug Deliv Rev 57:1191–1209
Hardy EH, Hoferer J, Kasper G (2007) The mixing state of fine powders measured by magnetic resonance imaging. Powder Technol 177:12–22
Müller CR, Holland DJ, Sederman AJ, Mantle MD, Gladden LF, Davidson JF (2008) Magnetic resonance imaging of fluidized beds. Powder Technol 183:53–62
Rafiee M, Bakalisa S, Fryer PJ, Ingram A (2011) Study of laminar mixing in kenics static mixer by using positron emission particle tracking (PEPT). Procedia Food Sci 1:678–684
Stellema CS, Vlek J, Mudde RF, de Goeij JJM, van den Bleek CM (1998) Development of an improved positron emission particle tracking system. Nucl Instrum Methods Phys Res Sect A 404:334–348
Berthiaux H, Mosorov V, Tomczak L, Gatumel C, Demeyre JF (2006) Principal component analysis for characterising homogeneity in powder mixing using image processing techniques. Chem Eng Process 45:397–403
Le Coënt AL, Rivoire A, Briançon S, Lieto J (2005) An original image processing technique for obtaining the mixing time: the box-counting with erosions method. Powder Technol 152:62–71
Muerza S, Berthiaux H, Massol-Chaudeur S, Thomas G (2002) A dynamic study of static mixing using on-line image analysis. Powder Technol 128:195–204
Abdul Rahman N, Mohd Zuki SA, Mohd Yassin I (2012) A review of image processing technique in particle mixing analysis. In: Proceeding of 2012 IEEE 8th international colloquium on signal processing and its applications
Mohd Zuki SA, Abdul Rahman N, Mohd Yassin I (2013) Particle mixing analysis using digital image processing technique. J Appl Sci 14:1392–1396
Feng YQ, Xu BH, Zhang SJ, Yu AB (2004) Discrete particle simulation of gas fluidization of particle mixures. AIChE J 50:1713–1728
Hogg R (2009) Mixing and segregation in powders: evaluation. Mech Processes Powder Part J 27:3–17
Acknowledgement
The authors would like to thank the Research Management Institute of Universiti Teknologi MARA for Excellence Fund (600-RMI/DANA5/3/RIF(90/2012)) for the financial support, Faculty of Chemical Engineering and Universiti Teknologi MARA.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer Science+Business Media Singapore
About this paper
Cite this paper
Mohd Zuki, S.A., Abd Rahman, N., Mohd Yassin, I., Md Zaki, N.A., Suhaimi, M.S.I. (2015). Particles Mixing in a Fluidized Bed by Using Digital Image Processing and Thief Probe. In: Hashim, M. (eds) ICGSCE 2014. Springer, Singapore. https://doi.org/10.1007/978-981-287-505-1_19
Download citation
DOI: https://doi.org/10.1007/978-981-287-505-1_19
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-287-504-4
Online ISBN: 978-981-287-505-1
eBook Packages: Chemistry and Materials ScienceChemistry and Material Science (R0)