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Xiao Q. Particle shape effect on the structural evolution and force propagation inside the three-dimensional sandpile. THE EUROPEAN PHYSICAL JOURNAL. E, SOFT MATTER 2023; 46:20. [PMID: 36961630 DOI: 10.1140/epje/s10189-023-00275-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 02/28/2023] [Indexed: 06/18/2023]
Abstract
This paper employs the discrete element method to examine the impact of particle shape on the pressure dip phenomenon and structural characterization of the three-dimensional sandpiles. Particular attention has been given to the underlying mechanism in the sandpile, which arises from the interplay of the initial created structure and the induced changes in the subsequent deposition process. Different aspect ratios produced different initial local geometry. The contact vector and strong contact force rotated away from the z-axis when the aspect ratio deviates from 1.0. The flat particles had a better memory of initial structures under the subsequent deposition process, which plays a vital role in force transmission and stress propagation. However, when the aspect ratio approaches 1.0, the stress state behaves as a joint result of maintained and gained contacts. For a certain range of aspect ratios, the newly generated interactions of elongated particles induced the major stress in the horizontal plane, which thus produces a significant pressure dip phenomenon. The results indicated that complex models accounting for contact creation are required to capture the pressure profile.
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Affiliation(s)
- Qiong Xiao
- School of Civil Engineering, Southeast University, Nanjing, 210096, Jiangsu, China.
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2
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Zhang S, Wang X. Effect of vibration parameters and wall friction on the mixing characteristics of binary particles in a vertical vibrating container subject to cohesive forces. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.118078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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3
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Deng R, Tan Y, Xiao X. Optimization of blade structural parameters of concrete truck mixer based on discrete element method. PARTICULATE SCIENCE AND TECHNOLOGY 2022. [DOI: 10.1080/02726351.2021.1992811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Rong Deng
- School of Mechanical Engineering, University of South China, Hengyang, Hunan, China
| | - Yuanqiang Tan
- Institute of Manufacturing Engineering, Huaqiao University, Xiamen, China
| | - Xianwu Xiao
- School of Mechanical Engineering, University of XiangTan, XiangTan, China
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4
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Dai L, Chan Y, Vastola G, Zhang Y. Discrete element simulation of powder flow in revolution powder analyser: Effects of shape factor, friction and adhesion. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
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5
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Simulation of the thermomechanical behavior of discrete particles in the laser directed energy deposition process. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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6
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Comparison of various forces acting on magnetic particles in a low-intensity magnetic field: A 3D FEA. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117351] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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7
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Zheng K, Kunnath K, Davé RN. DEM
Simulation of Binary Blend Mixing of Cohesive Particles in a High Intensity Vibration System. AIChE J 2022. [DOI: 10.1002/aic.17603] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Kai Zheng
- Chemical and Materials Engineering Department New Jersey Institute of Technology Newark New Jersey USA
| | - Kuriakose Kunnath
- Chemical and Materials Engineering Department New Jersey Institute of Technology Newark New Jersey USA
| | - Rajesh N. Davé
- Chemical and Materials Engineering Department New Jersey Institute of Technology Newark New Jersey USA
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8
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Nguyen VL, Obara H. Investigation of vessel occlusion during cell seeding process. Biomech Model Mechanobiol 2021; 20:2437-2450. [PMID: 34480225 DOI: 10.1007/s10237-021-01517-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 08/25/2021] [Indexed: 11/26/2022]
Abstract
The seeding of cells into an organ is an important step in cell therapy because the final functional properties of the organ are related to the initial cell distribution throughout the organ. However, vessel occlusion is a serious problem that prevents uniform distribution of the cells in the entire organ. Understanding the mechanism of vessel occlusion can help optimize the seeding process. In this study, the vessel occlusion phenomenon under perfusion conditions during cell seeding was investigated. First, we applied a microfluidic system that enabled the observation of the occlusion events during injection. Second, we applied a multiphase numerical model that can describe the cell-cell interactions and cell-fluid interactions to investigate the vessel occlusion phenomenon during the seeding process. In particular, the effects of cell concentration and flow rate were investigated. The results indicate the importance of cell-cell interactions and cell-vessel interactions for the occurrence of vessel occlusion. In addition, it is found that the probability of occurrence of vessel occlusion increases with the increase in cell concentration and decrease in flow rate. The simulation model can help determine the optimum parameters to enhance cell seeding efficiency.
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Affiliation(s)
- Van Lap Nguyen
- Department of Mechanical Systems Engineering, Tokyo Metropolitan University, 1-1 Minami-Osawa, Hachioji, Tokyo, 192-0397, Japan.
- Faculty of Mechanical Engineering, Thuyloi University, 175 Tay Son, Dong Da, Hanoi, Vietnam.
| | - Hiromichi Obara
- Department of Mechanical Systems Engineering, Tokyo Metropolitan University, 1-1 Minami-Osawa, Hachioji, Tokyo, 192-0397, Japan
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Dai L, Chan Y, Vastola G, Khan N, Raghavan S, Zhang Y. Characterizing the intrinsic properties of powder – A combined discrete element analysis and Hall flowmeter testing study. ADV POWDER TECHNOL 2021. [DOI: 10.1016/j.apt.2020.11.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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10
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Calibration of cohesive DEM parameters under rapid flow conditions and low consolidation stresses. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2020.07.017] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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11
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Delacroix B, Bouarab A, Fradette L, Bertrand F, Blais B. Simulation of granular flow in a rotating frame of reference using the discrete element method. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2020.05.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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12
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Tan Y, Deng R, Zhang H, Jiang S. Study of mixing and discharging of dry particles in a truck mixer. PARTICULATE SCIENCE AND TECHNOLOGY 2020. [DOI: 10.1080/02726351.2018.1536091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Yuanqiang Tan
- Institute of Manufacturing Engineering, Huaqiao University, Xiamen, Fujian, China
| | - Rong Deng
- School of Mechanical Engineering, University of South China, Hengyang, Hunan, China
| | - Hao Zhang
- School of Metallurgy, Northeastern University, Shenyang, Liaoning, China
| | - Shengqiang Jiang
- School of Mechanical Engineering, Xiangtan University, Xiangtan, Hunan, China
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Hassanzadeh V, Wensrich CM, Moreno-Atanasio R. Elucidation of the role of cohesion in the macroscopic behaviour of coarse particulate systems using DEM. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2019.07.070] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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15
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Raw Material Variability and Its Impact on the Online Adaptive Control of Cohesive Powder Blend Homogeneity Using NIR Spectroscopy. Processes (Basel) 2019. [DOI: 10.3390/pr7090568] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
It is significant to analyze the blend homogeneity of cohesive powders during pharmaceutical manufacturing in order to provide the exact content of the active pharmaceutical ingredient (API) for each individual dose unit. In this paper, an online monitoring platform using an MEMS near infrared (NIR) sensor was designed to control the bin blending process of cohesive powders. The state of blend homogeneity was detected by an adaptive algorithm, which was calibration free. The online control procedures and algorithm’s parameters were fine-tuned through six pilot experiments and were successfully transferred to the industrial production. The reliability of homogeneity detection results was validated by 16 commercial scale experiments using 16 kinds of natural product powders (NPPs), respectively. Furthermore, 19 physical quality attributes of all NPPs and the excipient were fully characterized. The blending end time was used to denote the degree of difficulty of blending. The empirical relationships between variability of NPPs and the blending end time were captured by latent variable modeling. The critical material attributes (CMAs) affecting the blending process were identified as the particle shape and flowability descriptors of cohesive powders. Under the framework of quality by design (QbD) and process analytical technology (PAT), the online NIR spectroscopy together with the powder characterization facilitated a deeper understanding of the mixing process.
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Yeom SB, Ha ES, Kim MS, Jeong SH, Hwang SJ, Choi DH. Application of the Discrete Element Method for Manufacturing Process Simulation in the Pharmaceutical Industry. Pharmaceutics 2019; 11:E414. [PMID: 31443327 PMCID: PMC6723742 DOI: 10.3390/pharmaceutics11080414] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 08/10/2019] [Accepted: 08/12/2019] [Indexed: 12/15/2022] Open
Abstract
Process simulation using mathematical modeling tools is becoming more common in the pharmaceutical industry. A mechanistic model is a mathematical modeling tool that can enhance process understanding, reduce experimentation cost and improve product quality. A commonly used mechanistic modeling approach for powder is the discrete element method (DEM). Most pharmaceutical materials have powder or granular material. Therefore, DEM might be widely applied in the pharmaceutical industry. This review focused on the basic elements of DEM and its implementations in pharmaceutical manufacturing simulation. Contact models and input parameters are essential elements in DEM simulation. Contact models computed contact forces acting on the particle-particle and particle-geometry interactions. Input parameters were divided into two types-material properties and interaction parameters. Various calibration methods were presented to define the interaction parameters of pharmaceutical materials. Several applications of DEM simulation in pharmaceutical manufacturing processes, such as milling, blending, granulation and coating, were categorized and summarized. Based on this review, DEM simulation might provide a systematic process understanding and process control to ensure the quality of a drug product.
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Affiliation(s)
- Su Bin Yeom
- Department of Pharmaceutical Engineering, Inje University, Gyeongnam 621-749, Korea
| | - Eun-Sol Ha
- College of Pharmacy, Pusan National University, Busandaehak-ro 63 beon-gil, Geumjeong-gu, Busan 46241, Korea
| | - Min-Soo Kim
- College of Pharmacy, Pusan National University, Busandaehak-ro 63 beon-gil, Geumjeong-gu, Busan 46241, Korea.
| | | | - Sung-Joo Hwang
- College of Pharmacy, Yonsei University, 85 Songdogwahak-ro, Yeonsu-gu, Incheon 21983, Korea
| | - Du Hyung Choi
- Department of Pharmaceutical Engineering, Inje University, Gyeongnam 621-749, Korea.
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Tamadondar MR, Martín L, Rasmuson A. Agglomerate breakage and adhesion upon impact with complex‐shaped particles. AIChE J 2019. [DOI: 10.1002/aic.16581] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Mohammad R. Tamadondar
- Department of Chemistry and Chemical Engineering Chalmers University of Technology Gothenburg Sweden
| | - Lilian Martín
- Department of Chemistry and Chemical Engineering Chalmers University of Technology Gothenburg Sweden
| | - Anders Rasmuson
- Department of Chemistry and Chemical Engineering Chalmers University of Technology Gothenburg Sweden
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18
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Deng X, Zheng K, Davé RN. Discrete element method based analysis of mixing and collision dynamics in adhesive mixing process. Chem Eng Sci 2018. [DOI: 10.1016/j.ces.2018.06.043] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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19
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The influence of particle interfacial energies and mixing energy on the mixture quality of the dry-coating process. POWDER TECHNOL 2018. [DOI: 10.1016/j.powtec.2018.07.022] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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20
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Hærvig J, Kleinhans U, Wieland C, Spliethoff H, Jensen A, Sørensen K, Condra T. On the adhesive JKR contact and rolling models for reduced particle stiffness discrete element simulations. POWDER TECHNOL 2017. [DOI: 10.1016/j.powtec.2017.07.006] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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21
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Sun L, Luo K, Fan J. Numerical study on flow behavior of ultrafine powders in conical spouted bed with coarse particles. Chem Eng Res Des 2017. [DOI: 10.1016/j.cherd.2017.07.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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22
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23
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Esmailpour AA, Zarghami R, Mostoufi N. An improved model for determining fractal structure of nano-agglomerates. CAN J CHEM ENG 2015. [DOI: 10.1002/cjce.22270] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Ali Asghar Esmailpour
- Multiphase Systems Research Lab., School of Chemical Engineering; College of Engineering, University of Tehran; P.O. Box 11155/4563 Tehran Iran
| | - Reza Zarghami
- Multiphase Systems Research Lab., School of Chemical Engineering; College of Engineering, University of Tehran; P.O. Box 11155/4563 Tehran Iran
| | - Navid Mostoufi
- Multiphase Systems Research Lab., School of Chemical Engineering; College of Engineering, University of Tehran; P.O. Box 11155/4563 Tehran Iran
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25
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Gontijo R, Cunha F. Dynamic numerical simulations of magnetically interacting suspensions in creeping flow. POWDER TECHNOL 2015. [DOI: 10.1016/j.powtec.2015.03.033] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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26
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Deng X, Scicolone J, Han X, Davé RN. Discrete element method simulation of a conical screen mill: A continuous dry coating device. Chem Eng Sci 2015. [DOI: 10.1016/j.ces.2014.08.051] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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27
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Physicochemical behavior of pharmaceutical particles and distribution of additives in tablets due to process shear and lubricant composition. POWDER TECHNOL 2014. [DOI: 10.1016/j.powtec.2014.07.049] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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28
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Parteli EJR, Schmidt J, Blümel C, Wirth KE, Peukert W, Pöschel T. Attractive particle interaction forces and packing density of fine glass powders. Sci Rep 2014; 4:6227. [PMID: 25178812 PMCID: PMC4151152 DOI: 10.1038/srep06227] [Citation(s) in RCA: 94] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2014] [Accepted: 08/04/2014] [Indexed: 11/12/2022] Open
Abstract
We study the packing of fine glass powders of mean particle diameter in the range (4-52) μm both experimentally and by numerical DEM simulations. We obtain quantitative agreement between the experimental and numerical results, if both types of attractive forces of particle interaction, adhesion and non-bonded van der Waals forces are taken into account. Our results suggest that considering only viscoelastic and adhesive forces in DEM simulations may lead to incorrect numerical predictions of the behavior of fine powders. Based on the results from simulations and experiments, we propose a mathematical expression to estimate the packing fraction of fine polydisperse powders as a function of the average particle size.
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Affiliation(s)
| | - Jochen Schmidt
- Institute of Particle Technology (LFG), University of Erlangen-Nuremberg (FAU), Cauerstraße 4, D-91058 Erlangen, Germany
| | - Christina Blümel
- Institute of Particle Technology (LFG), University of Erlangen-Nuremberg (FAU), Cauerstraße 4, D-91058 Erlangen, Germany
| | - Karl-Ernst Wirth
- Institute of Particle Technology (LFG), University of Erlangen-Nuremberg (FAU), Cauerstraße 4, D-91058 Erlangen, Germany
| | - Wolfgang Peukert
- Institute of Particle Technology (LFG), University of Erlangen-Nuremberg (FAU), Cauerstraße 4, D-91058 Erlangen, Germany
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Developments in the tools for the investigation of mixing in particulate systems – A review. ADV POWDER TECHNOL 2014. [DOI: 10.1016/j.apt.2013.10.007] [Citation(s) in RCA: 71] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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