Novel designs of blade mixer impellers from the discrete element method and topology optimization
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The use of simulation elements, numerical control methods, algorithms, and additive manufacturing, among others, can allow significant advancements in the design and optimization of elements in turbomachinery.
“For example, the use of simulation elements, numerical control methods, algorithms, and additive manufacturing, among others, can allow significant advancements in the design and optimization of elements in turbomachinery [152,153].”
From Towards Sustainability in Hydraulic Machinery Manufacturing by 3D Printing (2024) · cites this paper as [153]
Cites
A review on genetic algorithm: past, present, and future
Katoch, S., Chauhan, S. S., & Kumar, V. (2021) · Multimedia Tools and Applications · doi:10.1007/s11042-020-10139-6 · Cited by 4,655 · see citing works
Models, algorithms and validation for opensource DEM and CFD-DEM
Kloss, C., Goniva, C., Hager, A., Amberger, S., & Pirker, S. (2012) · Progress in Computational Fluid Dynamics An International Journal · doi:10.1504/pcfd.2012.047457 · Cited by 1,834 · see citing works
Tao, F., Xiao, B., Qi, Q., Cheng, J., & Ji, P. (2022) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2022.06.015 · Cited by 1,255 · see citing works
Developments in the theory of particle mixing
Lacey, P. (1954) · Journal of Applied Chemistry · doi:10.1002/jctb.5010040504 · Cited by 803 · see citing works
Topology optimization of multi-scale structures: a review
Wu, J., Sigmund, O., & Groen, J. P. (2021) · Structural and Multidisciplinary Optimization · doi:10.1007/s00158-021-02881-8 · Cited by 700 · see citing works
Design of compliant mechanisms using continuum topology optimization: A review
Zhu, B., Zhang, X., Zhang, H., Liang, J., Zang, H., Li, H., & Wang, R. (2019) · Mechanism and Machine Theory · doi:10.1016/j.mechmachtheory.2019.103622 · Cited by 417 · see citing works
A review of digital twin in product design and development
Lo, C.-H., Chen, C., & Zhong, R. Y. (2021) · Advanced Engineering Informatics · doi:10.1016/j.aei.2021.101297 · Cited by 369 · see citing works
CROSSOVER OPERATORS IN GENETIC ALGORITHMS: A REVIEW
Umbarkar, A. J., & Sheth, P. D. (2015) · ICTACT Journal on Soft Computing · doi:10.21917/ijsc.2015.0150 · Cited by 364 · see citing works
O’Sullivan, C., & Bray, J. D. (2004) · Engineering Computations · doi:10.1108/02644400410519794 · Cited by 296 · see citing works
Topology optimization of heat exchangers: A review
Fawaz, A., Hua, Y., Corre, S. L., Fan, Y., & Luo, L. (2022) · Energy · doi:10.1016/j.energy.2022.124053 · Cited by 278 · see citing works
Review and implementation of CFD-DEM applied to chemical process systems
Golshan, S., Sotudeh‐Gharebagh, R., Zarghami, R., Mostoufi, N., Blais, B., & Kuipers, J. A. M. (2020) · Chemical Engineering Science · doi:10.1016/j.ces.2020.115646 · Cited by 273 · see citing works
Theories and Applications of CFD–DEM Coupling Approach for Granular Flow: A Review
El‐Emam, M. A., Zhou, L. H., Shi, W., Han, C., Bai, L., & Agarwal, R. K. (2021) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-021-09568-9 · Cited by 240 · see citing works
Analysis of particle motion in a paddle mixer using Discrete Element Method (DEM)
Hassanpour, A., Tan, H., Bayly, A. E., Gopalkrishnan, P. V., Ng, B., & Ghadiri, M. (2010) · Powder Technology · doi:10.1016/j.powtec.2010.07.025 · Cited by 112 · see citing works
A review of existing mixing indices in solid-based continuous blending operations
Bhalode, P., & Ierapetritou, M. (2020) · Powder Technology · doi:10.1016/j.powtec.2020.06.043 · Cited by 99 · see citing works
Tiismus, H., Kallaste, A., Vaimann, T., & Rassõlkin, A. (2022) · Additive manufacturing · doi:10.1016/j.addma.2022.102778 · Cited by 99 · see citing works
An experimentally validated DEM study of powder mixing in a paddle blade mixer
Pantaleev, S., Slavina, Y., Janda, Á., Marigo, M., & Ooi, J. Y. (2017) · Powder Technology · doi:10.1016/j.powtec.2016.12.053 · Cited by 99 · see citing works
The effect of the number of impeller blades on granular flow in a bladed mixer
Boonkanokwong, V., Remy, B., Khinast, J., & Glasser, B. J. (2016) · Powder Technology · doi:10.1016/j.powtec.2016.08.064 · Cited by 95 · see citing works
Topology optimization of acoustic mechanical interaction problems: a comparative review
Dilgen, C. B., Dilgen, S. B., Aage, N., & Jensen, J. S. (2019) · Structural and Multidisciplinary Optimization · doi:10.1007/s00158-019-02236-4 · Cited by 95 · see citing works
Effects of blade rake angle and gap on particle mixing in a cylindrical mixer
Chandratilleke, G. R., Yu, A., Stewart, R. L., & Bridgwater, J. (2009) · Powder Technology · doi:10.1016/j.powtec.2009.03.007 · Cited by 90 · see citing works
Hlosta, J., Jezerská, L., Rozbroj, J., Žurovec, D., Nečas, J., & Zegzulka, J. (2020) · Processes · doi:10.3390/pr8020222 · Cited by 81 · see citing works
DEM simulation for optimal design of powder mixing in a ribbon mixer
Tsugeno, Y., Sakai, M., Yamazaki, S., & Nishinomiya, T. (2021) · Advanced Powder Technology · doi:10.1016/j.apt.2021.03.026 · Cited by 79 · see citing works
A DEM study of the mixing of particles induced by a flat blade
Chandratilleke, G. R., Yu, A., & Bridgwater, J. (2012) · Chemical Engineering Science · doi:10.1016/j.ces.2012.05.010 · Cited by 72 · see citing works
Advanced DEM simulation on powder mixing for ellipsoidal particles in an industrial mixer
Mori, Y., & Sakai, M. (2021) · Chemical Engineering Journal · doi:10.1016/j.cej.2021.132415 · Cited by 69 · see citing works
EVALUATION OF TOPOLOGY OPTIMIZATION AND GENERATIVE DESIGN TOOLS AS SUPPORT FOR CONCEPTUAL DESIGN
Vlah, D., Žavbi, R., & Vukašinović, N. (2020) · Proceedings of the Design Society DESIGN Conference · doi:10.1017/dsd.2020.165 · Cited by 68 · see citing works
Using discrete element method to analyze the mixing of the solid particles in a slant cone mixer
Alian, M., Ein‐Mozaffari, F., Upreti, S. R., & Wu, J. (2014) · Process Safety and Environmental Protection · doi:10.1016/j.cherd.2014.07.003 · Cited by 62 · see citing works
Bao, Y., Li, T., Wang, D., Cai, Z., & Gao, Z. (2019) · Particuology · doi:10.1016/j.partic.2019.02.002 · Cited by 62 · see citing works
DEM study of the effect of blade-support spokes on mixing performance in a ribbon mixer
Chandratilleke, G. R., Dong, K., & Shen, Y. (2017) · Powder Technology · doi:10.1016/j.powtec.2017.12.055 · Cited by 51 · see citing works
Li, S., Kajiwara, S., & Sakai, M. (2020) · Powder Technology · doi:10.1016/j.powtec.2020.08.085 · Cited by 46 · see citing works
A comprehensive review of the application of DEM in the investigation of batch solid mixers
Jadidi, B., Ebrahimi, M., Ein‐Mozaffari, F., & Lohi, A. (2022) · Reviews in Chemical Engineering · doi:10.1515/revce-2021-0049 · Cited by 45 · see citing works
Behjani, M. A., Motlagh, Y. G., Bayly, A. E., & Hassanpour, A. (2019) · Powder Technology · doi:10.1016/j.powtec.2019.10.102 · Cited by 45 · see citing works
Alchikh-Sulaiman, B., Ein‐Mozaffari, F., & Lohi, A. (2015) · Process Safety and Environmental Protection · doi:10.1016/j.cherd.2015.02.020 · Cited by 37 · see citing works
Tahvildarian, P., Ein‐Mozaffari, F., & Upreti, S. R. (2013) · Particuology · doi:10.1016/j.partic.2012.12.010 · Cited by 35 · see citing works
Du, W., Ren, X., Chen, Y., Ma, C., Radović, M., & Pei, Z. (2018) · ASME International Manufacturing Science and Engineering Conference (MSEC) · doi:10.1115/msec2018-6651 · Cited by 33 · see citing works
Long, J., Wang, C., Zhu, J., Zhan, X., Sun, Z., Shen, B., & Li, X. (2022) · Advanced Powder Technology · doi:10.1016/j.apt.2022.103437 · Cited by 30 · see citing works
Martin, C. L., Yan, Z., Jauffrès, D., Bouvard, D., & Bordia, R. K. (2016) · Journal of the Ceramic Society of Japan · doi:10.2109/jcersj2.15269 · Cited by 30 · see citing works
Discrete element method based analysis of mixing and collision dynamics in adhesive mixing process
Deng, X., Zheng, K., & Davé, R. N. (2018) · Chemical Engineering Science · doi:10.1016/j.ces.2018.06.043 · Cited by 27 · see citing works
Pezo, L. L., Pezo, M. L., Banjac, V. V., Jovanović, A. P., Krulj, J. A., Kojić, J. S., & Kojić, P. S. (2020) · Powder Technology · doi:10.1016/j.powtec.2020.07.104 · Cited by 23 · see citing works
Granular dynamics in a vertical bladed mixer: Secondary flow patterns
Havlica, J., Jirounkova, K., Trávníčková, T., Stanovský, P., Petrus, P., & Kohout, M. (2018) · Powder Technology · doi:10.1016/j.powtec.2018.11.094 · Cited by 21 · see citing works
Zuo, Z., Gong, S., & Xie, G. (2020) · Chinese Journal of Chemical Engineering · doi:10.1016/j.cjche.2020.10.036 · Cited by 20 · see citing works
POD-based identification approach for powder mixing mechanism in Eulerian–Lagrangian simulations
Li, S., Duan, G., & Sakai, M. (2021) · Advanced Powder Technology · doi:10.1016/j.apt.2021.11.016 · Cited by 19 · see citing works
Critical time step for discrete element method simulations of convex particles with central symmetry
Peng, D., Burns, S. J., & Hanley, K. J. (2020) · International Journal for Numerical Methods in Engineering · doi:10.1002/nme.6568 · Cited by 18 · see citing works
Prediction of particle mixing time in a rotary drum by 2D DEM simulations and cross-correlation
Wu, W., Chen, K., & Tsotsas, E. (2022) · Advanced Powder Technology · doi:10.1016/j.apt.2022.103512 · Cited by 17 · see citing works
Colorants in plastic applications
Pfaff, G. (2020) · Physical Sciences Reviews · doi:10.1515/psr-2019-0104 · Cited by 16 · see citing works
Numerical simulation of free flowing particles mixing in V-blender
Bouhaouche, A., Kaoua, S., & Daoud, K. (2019) · Granular Matter · doi:10.1007/s10035-019-0885-7 · Cited by 8 · see citing works
Topology optimization of impeller blades in baffled stirred tanks
Munz, J., & Schäfer, M. (2020) · Case Studies in Chemical and Environmental Engineering · doi:10.1016/j.cscee.2020.100043 · Cited by 4 · see citing works
Optimization of forming machine stiffness for increased production accuracy
Ráž, K., & Čechura, M. (2019) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/651/1/012015 · Cited by 3 · see citing works
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- Authors
- Castro, M. T., & Ocon, J. D.
- Affiliations
- University of the Philippines Diliman (PH)
- University of the Philippines System (PH)
- Corresponding author
- Castro, Michael T.
- Ocon, Joey D.
- Venue
- Chemical Engineering Journal
- Publisher
- Elsevier BV
- Published
- 2024-06
- Volume
- 490
- Pages
- 151863
- ISSN
- 1385-8947 (ISSN-L)
- OpenAlex
- W4396621130
- Cited by
- 14
- References
- 46
- Citations by year
- 2026: 7 · 2025: 4 · 2024: 3
- FWCI
- 2.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Chemical Engineering Journal (publishedVersion)
- Topics
- Physical Sciences › Engineering › Computational Mechanics › Granular flow and fluidized beds
- Physical Sciences › Engineering › Civil and Structural Engineering › Topology Optimization in Engineering
- Physical Sciences › Engineering › Mechanical Engineering › Mineral Processing and Grinding
- Keywords
- bulk material flow, discrete element method, topology optimization, genetic algorithm, impeller blade design, mixing performance, energy consumption, particle size reduction
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