Abstract
Introduction
High-shear wet granulation (HSWG) is most commonly used in the pharmaceutical industry, with the advantages of being fully enclosed, having a good mixing effect, and being highly efficient. However, only a few studies are geared toward an in-depth understanding of the pre-mixing process in the high-shear wet granulator (HSWGr).
Objectives
In this paper, the effect of impeller speed and fill level on the mixing performance of particles is investigated using the discrete element method (DEM), which provides theoretical references for the energy-saving operation in HSWGr.
Methods
Relative standard deviation (RSD) was used as a mixing index to quantify mixing quality, particle temperature over a vertical distance to quantify particle motion bias, and total power consumption per unit mass to monitor the loss effect.
Results
The simulation results show that the impeller speed only affects the mixing process and does not change the mixing uniformity; the fill level has a significant effect on the particle mixing, and a higher fill level will inhibit the particle mixing; based on the uniform mixing, the fill level has little effect on the total power consumption per unit mass.
Conclusion
The results of the study show that increasing the fill level and impeller speed contributes to the energy-saving operation of HSWGr.
Similar content being viewed by others
References
Wei S, Chen Y, Fang Z, Zhou H, Xie Y, Yang L. Research on the particle breakage mechanism in high-speed shear wet granulation. Processes. 2023;11:989.
Koyanagi K, Ueno A, Hattori Y, Sasaki T, Sakamoto T, Otsuka M. Analysis of granulation mechanism in a high-shear wet granulation method using near-infrared spectroscopy and stirring power consumption. Colloid Polym Sci. 2020;298:977–87.
Oka S, Smrčka D, Kataria A, Emady H, Muzzio F, Štěpánek F, Ramachandran R. Analysis of the origins of content non-uniformity in high-shear wet granulation. Int J Pharm. 2017;528:578–85.
Mandal S, Khakhar DV. An experimental study of the flow of nonspherical grains in a rotating cylinder. AIChE J. 2017;63:4307–15.
Windows-Yule CRK, Seville JPK, Ingram A, Parker DJ. Positron emission particle tracking of granular flows. Annu Rev Chem Biomol Eng. 2020;11:367–96.
Moodley TL, Govender I. Experimental validation of DEM in rotating drums using positron emission particle tracking. Mech Res Commun. 2022;121: 103861.
Nadeem H, Jamdagni P, Subramaniam S, Nere NK, Heindel TJ. Assessing solid particle mixing using X-ray radiographic particle tracking. Chem Eng Res Des. 2023;194:563–72.
Dewulf W, Bosse H, Carmignato S, Leach R. Advances in the metrological traceability and performance of X-ray computed tomography. CIRP Ann. 2022;71:693–716.
Jadidi B, Ebrahimi M, Ein-Mozaffari F, Lohi A. A comprehensive review of the application of DEM in the investigation of batch solid mixers. Rev Chem Eng. 2023;39:729–64.
Jin X, Chandratilleke GR, Wang S, Shen Y. DEM investigation of mixing indices in a ribbon mixer. Particuology. 2022;60:37–47.
Cai R, Hou Z, Zhao Y. Numerical study on particle mixing in a double-screw conical mixer. Powder Technol. 2019;352:193–208.
Jiang C, An X, Li M, Wu Y, Gou D, Wu Y. DEM modelling and analysis of the mixing characteristics of sphere-cylinder granular mixture in a rotating drum. Powder Technol. 2023;426: 118653.
Lu X, Dai B, Yang S. DEM Study of the effect of impeller design on mixing performance in a vertical mixer. Ind Eng Chem Res. 2022;61:8112–27.
Jin X, Wang S, Shen Y. DEM study of the effect of impeller design on mixing performance in a U-shape ribbon mixer. Adv Powder Technol. 2022;33: 103334.
Zuo Z, Wang J, Gong S, Zhang J. Effect of blade configuration on the mixing process of particles in an intensive mixer. Part Sci Technol. 2023;41:1088–102.
Halidan M, Chandratilleke GR, Dong KJ, Yu AB. Mixing performance of ribbon mixers: effects of operational parameters. Powder Technol. 2018;325:92–106.
Shah GN, Siraj MS. DEM study of dry and wet granular flows in a vertical bladed mixer. Part Sci Technol. 2021;39:797–808.
Yaraghi A, Ebrahimi M, Ein-Mozaffari F, Lohi A. Mixing assessment of non-cohesive particles in a paddle mixer through experiments and discrete element method (DEM). Adv Powder Technol. 2018;29:2693–706.
Lin J, Bao M, Zhang F, Yang J, Li H. Mixing simulation of cohesive particles in a soil mixer. Powder Technol. 2022;399: 117218.
Bao Y, Lu Y, Gao Z, Cai Z. Effects of rotational speed and fill level on particle mixing in a stirred tank with different impellers. Chin J Chem Eng. 2018;26(6):1383–91.
Golshan S, Blais B. Insights into granular mixing in vertical ribbon mixers. Can J Chem Eng. 2021;99:1570–81.
Fan R, Zhao M, Luo L, Wang Y, Zhou K, Liu Z, Zhou Y, Guan T, Sun H, Dai C. Investigation of mixing homogeneity of binary particle systems in high-shear wet granulator by DEM. Drug Dev Ind Pharm. 2023;49:179–88.
Long J, Wang C, Zhu J, Zhan X, Sun Z, Shen B, Li X. Discrete element simulation for mixing performances and power consumption in a twin-blade planetary mixer with non-cohesive particles. Adv Powder Technol. 2022;33: 103437.
Yuan Q, Xu L, Ma S, Niu C, Yan C, Zhao S. The effect of paddle configurations on particle mixing in a soil-fertilizer continuous mixing device. Powder Technol. 2021;391:292–300.
Zuo Z, Gong S, Xie G. Numerical investigation of granular mixing in an intensive mixer: effect of process and structural parameters on mixing performance and power consumption. Chin J Chem Eng. 2021;32:241–52.
Herman AP, Gan J, Zhou Z, Yu A. Discrete particle simulation for mixing of granular materials in ribbon mixers: a scale-up study. Powder Technol. 2022;400: 117222.
Kenekar VV, Ghugare SB, Patil-Shinde V. Multi-objective optimization of high-shear wet granulation process for better granule properties and fluidized bed drying characteristics. Powder Technol. 2023;420: 118373.
Thapa P, Tripathi J, Jeong SH. Recent trends and future perspective of pharmaceutical wet granulation for better process understanding and product development. Powder Technol. 2019;344:864–82.
Cundall PA, Strack ODL. Discussion: a discrete numerical model for granular assemblies. Géotechnique. 1980;30:331–6.
Kruisz J, Rehrl J, Hörmann-Kincses TR, Khinast JG. Effects of signal processing on the relative standard deviation in powder feeding characterization for continuous manufacturing. Powder Technol. 2021;389:536–48.
Zhou YC, Yu AB, Bridgwater J. Segregation of binary mixture of particles in a bladed mixer. J of Chemical Tech & Biotech. 2003;78:187–93.
Yu Y, Zhao L, Li Y, Zhou Q. A model to improve granular temperature in CFD-DEM simulations. Energies. 2020;13:4730.
Potiguar FQ. On the translational and rotational granular temperatures in periodically excited 2D granular systems. Physica A. 2021;577: 126077.
Funding
This research was funded by the Natural Science Foundation Innovation and Development Joint Fund Project of Chongqing (2023NSCQ-LZX0187) and the Natural Science Foundation of Chongqing (CSTB2023NSCQ-MSX0712).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of Interest
The authors declare no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Liu, Z., Liu, C., Fan, R. et al. An Understanding of the Relationship Between Mixing Performance and Power Consumption in a High-Shear Wet Granulation Pre-mixing. J Pharm Innov 19, 10 (2024). https://doi.org/10.1007/s12247-024-09816-y
Accepted:
Published:
DOI: https://doi.org/10.1007/s12247-024-09816-y