Browse > Article
http://dx.doi.org/10.15207/JKCS.2020.11.10.219

Performance Evaluation of Multi-Degree-of-Freedom Robotic Mixer using Discrete Element Mixing Simulations  

Son, Kwon Joong (Department of Mechanical and Design Engineering, Hongik University)
Publication Information
Journal of the Korea Convergence Society / v.11, no.10, 2020 , pp. 219-224 More about this Journal
Abstract
Industrial mixers to homogeneously blend particulate materials have been developed and widely used in various industries. However, most industrial mixers have at most two-degree-of-freedom for the operation, which limits the range of operation parameter selection for optimal blending. This paper proposes a multi-degree-of-freedom robotic mixer designed by converging a conventional drum blender and a robotic manipulator and evaluated its performance in a virtual operating environment. Discrete element simulations were conducted for mixing performance evaluation. The numerical results showed that the proposed mixer design exhibits a better mixing performance than conventional ones.
Keywords
DEM; MDOF mixing; Robotic mixer; Drum mixer; Mixing simulation; Convergence design;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 P. W. Cleary. (2000). DEM Simulation of Industrial Particle Flows: Case Studies of Dragline Excavators, Mixing in Tumblers and Centrifugal Mills. Powder Technology, 109(1-3), 83-104. DOI : 10.1016/S0032-5910(99)00229-6   DOI
2 P. Y. Liu, R. Y. Yang & A. B. Yu. (2013). DEM Study of the Transverse Mixing of Wet Particles in Rotating Drums. Chemical Engineering Science, 86, 99-107. DOI : 10.1016/j.ces.2012.06.015   DOI
3 R. K. Soni, R. Mohanty, S. Mohanty & B. K. Mishra. (2016). Numerical Analysis of Mixing of Particles in Drum Mixers using DEM. Advanced Powder Technology, 27(2), 531-540. DOI : 10.1016/j.apt.2016.01.016   DOI
4 M. S. Escotet-Espinoza, C. J. Foster & M. Ierapetritou. (2018). Discrete Element Modeling (DEM) for Mixing of Cohesive Solids in Rotating Cylinders. Powder Technology, 335, 124-136. DOI : 10.1016/j.powtec.2018.05.024   DOI
5 S. Yang, Y. Sun & J. W. Chew. (2018). Simulation of the Granular Flow of Cylindrical Particles in the Rotating Drum. Particle Technology and Fluidization, 64(11), 3835-3848. DOI : 10.1002/aic.16342
6 E. Yazdani & S. H. Hashemabadi. (2019). The Influence of Cohesiveness on Particulate Bed Segregation and Mixing in Rotating Drum using DEM. Physica A: Statistical Mechanics and its Applicatoins, 525, 788-797. DOI : 10.1016/j.physa.2019.03.127   DOI
7 H. Ma & Y. Zhao. (2017). Modelling of the Flow of Ellipsoidal Particles in a Horizontal Rotating Drum based on DEM Simulation. Chemical Engineering Science, 172, 636-651. DOI : 10.1016/j.ces.2017.07.017   DOI
8 N. Raval, V. Tambe, R. Maheshwari, P. K. Deb & R. K. Tekade. (2018). Chapter 19 - Scale-Up Studies in Pharmaceutical Products Development. Dosage Form Design Considerations. London : Academic Press. DOI : 10.1016/B978-0-12-814423-7.00019-8
9 K. J. Son. (2018). A Numerical Study of the Influence of Rheology of Cohesive Particles on Blade Free Planetary Mixing. Korea-Australia Rheology Journal, 30(3), 199-209. DOI : 10.1007/s13367-018-0020-z   DOI
10 K. J. Son. (2019). A Numerical Study of the Influence of Operating Conditions of a Blade Free Planetary Mixer on Blending of Cohesive Powders. Korea-Australia Rheology Journal, 31(1), 15-23. DOI : 10.1007/s13367-019-0002-9   DOI
11 Y. Wen, M. Liu, B. Liu & Y. Shao. (2015). Comparative Study on the Characterization Method of Particle Mixing Index Using DEM Method. Procedia Engineering, 102, 1630-1642. DOI : 10.1016/j.proeng.2015.01.299   DOI
12 H. R. Norouzi, R. Zarghami, R. Sotudeh-Gharebagh & N. Mostoufi. (2016). Coupled CFD-DEM Modeling: Formulation, Implementation and Application to Multiphase Flows. Chichester : John Wiley & Sons. DOI : 10.1002/9781119005315
13 F. Bertrand, L. -A. Leclaire & G. Levecque. (2005). DEM-Based Models for the Mixing of Granular Materials. Chemical Engineering Science, 60(8-9), 2517-2531. DOI : 10.1016/j.ces.2004.11.048   DOI
14 K. J. Son. (2018). A Discrete Element Model for the influence of Surfactants on Sedimentation Characteristics of Magnetorheological Fluids. Korea-Australia Rheology Journal, 30(1), 29-39. DOI : 10.1007/s13367-018-0004-z   DOI
15 H. Mio, A. Shimosaka, Y. Shirakawa & J. Hidaka (2005). Optimum Cell Size for Contact Detection in the Algorithm of the Discrete Element Method. Journal of Chemical Engineering of Japan, 38(12), 969-975. DOI : 10.1252/jcej.38.969   DOI