Multiparameter collaborative optimization of the vibrating screen based on the behavior of oil sunflower seed penetrating screen holes
Keywords:
oil sunflower seeds, screening analysis, DEM-MBD, discrete element method, response surface analysisAbstract
The behavior of oil sunflower seeds penetrating screen holes is an important factor that affects the screening performance of oil sunflower seeds. In this study, a double-deck reverse-motion vibrating screening device for oil sunflower seed screening was designed. The force condition and motion law of the oil sunflower seeds on the screen surface were analyzed. This study compared the effect of particle filling amount of discrete element model of oil sunflower seeds on the simulation effects. The screening process was numerically simulated using the coupled Discrete Element Method and Multibody Dynamics (DEM-MBD) technique with the screening percentage of oil sunflower seeds as the index. The influence of the operating parameters of the vibrating screen on the screening effect was analyzed using a multiparameter collaborative optimization scheme. The results of this study can provide a reference for the numerical simulation of crop screening behavior and the development of screening devices. Keywords: oil sunflower seeds, screening analysis, DEM-MBD, discrete element method, response surface analysis DOI: 10.25165/j.ijabe.20241701.8111 Citation: Wei W B, Li J C, Hao J J, Xiao M H, Zhang H J. Multiparameter collaborative optimization of the vibrating screen based on the behavior of oil sunflower seed penetrating screen holes. Int J Agric & Biol Eng, 2024; 17(1): 49-58.References
[1] Jin W, Ding Y C, Bai S H, Zhang X J, Yan J S, Zhou X C. Design and experiments of the reel board header device for an oil sunflower harvester, Transactions of the CSAE, 2021, 37(3): 27–36. (in Chinese)
[2] Liu Y, Huang X M, Ma L N, Zong W Y, Li M, Tang C. Determination of three-dimensional collision restitution coefficient of oil sunflower grain by high-speed photography. Transactions of the CSAE, 2020; 36(4): 44–53. (in Chinese)
[3] Chen Z Q, Li Z F, Xia H H, Tong X. Performance optimization of the elliptically vibrating screen with a hybrid MACO-GBDT algorithm. Particuology, 2021; 56: 193–206.
[4] Yin Z J, Zhang H, Han T. Simulation of particle flow on an elliptical vibrating screen using the discrete element method. Powder Technology, 2016; 302: 443–454.
[5] Liu C S, Wang H, Zhao Y M, Zhao L L, Dong H L. DEM simulation of particle flow on a single deck banana screen. International Journal of Mining Science and Technology, 2013; 23(2): 273–7.
[6] Yang X, Zhao L, Li H, Liu C, Hu E, Li Y, Hou Q. DEM study of particles flow on an industrial-scale roller screen. Advanced Powder Technology, 2020; 31: 4445–4456.
[7] Wang L J, Cui Y Q, Zheng Z H, Feng X, Shen B S, Li Y B. Effect of different motion forms of vibrating screen on screening of particle group. Transactions of the CSAM, 2019; 50(6): 119–129. (in Chinese)
[8] Xiao J Z, Tong X. Characteristics and efficiency of a new vibrating screen with a swing trace. Particuology, 2013; 11(5): 601–606.
[9] Harzanagh A A, Orhan E C, Ergun S L. Discrete element modelling of vibrating screens. Minerals Engineering, 2018; 121: 107–121.
[10] Ma Z, Li Y M, Xu L Z. Discrete-element method simulation of agricultural particles’ motion in variable-amplitude screen box. Comput. Electron. Agr., 2015; 118: 92–99.
[11] Zhao L L, Zhao Y M, Bao C Y, Hou Q F, Yu A B. Optimisation of a circularly vibrating screen based on DEM simulation and Taguchi orthogonal experimental design. Powder Technology, 2017; 310: 307–317.
[12] Feng X, Gong Z P, Wang L J, Yu Y T, Liu T H, Song L L. Behavior of maize particle penetrating a sieve hole based on the particle centroid in an air-screen cleaning unit. Powder Technology, 2021; 385: 501–516.
[13] Wang Y, Yu J Q, Yu Y J, Zhang Q. Validation of a coupled model of discrete element method with multibody kinematics to simulate the screening process of a swing-bar sieve. Powder Technology, 2019; 346: 193–202.
[14] Xia H H, Xin T, Li Z F, Wu X Q. DEM-FEM coupling simulations of the interactions between particles and screen surface of vibrating screen. International Journal of Mining and Mineral Engineering, 2017; 8(3): 250–263.
[15] Wang L J, Wu Z C, Feng X, Feng X, Li R, Yu Y T. Design and experiment of curved screen for maize grain harvester. Transactions of the CSAM, 2019; 50(2): 119–129. (in Chinese)
[16] Liu C L, Wang YL, Song J N, Li Y N, Ma T. Experiment and discrete element model of rice seed based on 3D laser scanning. Transactions of the CSAE, 2016; 32(15): 294–300. (in Chinese)
[17] Wu M C, Cong J L, Yan Q, Zhu T, Peng X Y, Wang Y S. Calibration and experiments for discrete element simulation parameters of peanut seed particles. Transactions of the CSAE, 2020; 36(23): 30–38. (in Chinese)
[18] Ghodki B M, Patel M, Namdeo R, Carpenter G. Calibration of discrete element model parameters: soybeans. Computational Particle Mechanics, 2019; 6: 3–10.
[19] Yuan J B, Wang J F, Li H, Qi X D, Wang Y J, Li C. Optimization of the cylindrical sieves for separating threshed rice mixture using EDEM. Int J Agric & Biol Eng, 2022; 15(2): 236–247.
[20] Zhou L, Yu J, Liang L, Yu Y, Yan D, Sun K, Wang Y. Study on key issues in the modelling of maize seeds based on the multi-sphere method. Powder Technology, 2021; 394: 791–812.
[21] Shen G L, Chen Z Q, Wu X Q, Li Z F, Tong X. Stepwise shape optimization of the surface of a vibrating screen. Particuology, 2021; 58: 26–34.
[22] Gao X J, Cui T, Zhou Z Y, Yu Y B, Xu Y, Zhang D X, Song W. DEM study of particle motion in novel high-speed seed metering device. Adv. Powder Technol, 2021; 32(5): 1438–1449.
[23] Qiao J P, Duan C L, Jiang H S, Zhao Y M, Chen J W, Huang L, et al. Research on screening mechanism and parameters optimization of equal thickness screen with variable amplitude based on DEM simulation. Powder Technology, 2018; 331: 296–309.
[24] Di Renzo A, Di Maio F P. Comparison of contact-force models for the simulation of collisions in DEM-based granular flow codes. Chem. Eng. Sci., 2004; 59(3): 525–541.
[25] Dun G Q, Mao N, Gao Z Y, Wu X P, Liu W H, Zhou C. Model construction of soybean average diameter and hole parameters of seed-metering wheel based on DEM. Int J Agric & Biol Eng, 2022; 15(1): 101–110.
[26] Li X Y, Du Y F, Mao E R, Zhang Y A, Liu L, Guo D F. Design and experiment of corn low damage threshing device based on DEM. Int J Agric & Biol Eng, 2023; 16(3): 55–63.
[27] Long S F, Xu S M, Zhang Y J, Zhang J, Wang J. Effect of modeling parameters on the mechanical response of macroscopic crushing of agglomerate. Powder Technology, 2022; 408: 117720.
[28] Hao J J, Wei W B, Huang P C, Qin J H, Zhao J G. Calibration and experimental verification of discrete element parameters of oil sunflower seeds. Transactions of the CSAE, 2021; 37(12): 36–44. (in Chinese)
[29] Long, S F, Wei W B, Li D F, Kang S, Wang J. Study on separation of the tuber-soil binary mixture based on vibration and airflow coupling. Biosystems Engineering, 2024; 239: 13–24.
[30] Zhou H L, Hu Z Q, Chen J G, Lv X, Xie N. Calibration of DEM models for irregular particles based on experimental Check for design method and bulk experiments. Powder Technology, 2018; 332: 210–223.
[31] Roessler T, Katterfeld A. Scaling of the angle of repose test and its influence on the calibration of DEM parameters using upscaled particles. Powder Technology, 2018; 330: 58–66.
[2] Liu Y, Huang X M, Ma L N, Zong W Y, Li M, Tang C. Determination of three-dimensional collision restitution coefficient of oil sunflower grain by high-speed photography. Transactions of the CSAE, 2020; 36(4): 44–53. (in Chinese)
[3] Chen Z Q, Li Z F, Xia H H, Tong X. Performance optimization of the elliptically vibrating screen with a hybrid MACO-GBDT algorithm. Particuology, 2021; 56: 193–206.
[4] Yin Z J, Zhang H, Han T. Simulation of particle flow on an elliptical vibrating screen using the discrete element method. Powder Technology, 2016; 302: 443–454.
[5] Liu C S, Wang H, Zhao Y M, Zhao L L, Dong H L. DEM simulation of particle flow on a single deck banana screen. International Journal of Mining Science and Technology, 2013; 23(2): 273–7.
[6] Yang X, Zhao L, Li H, Liu C, Hu E, Li Y, Hou Q. DEM study of particles flow on an industrial-scale roller screen. Advanced Powder Technology, 2020; 31: 4445–4456.
[7] Wang L J, Cui Y Q, Zheng Z H, Feng X, Shen B S, Li Y B. Effect of different motion forms of vibrating screen on screening of particle group. Transactions of the CSAM, 2019; 50(6): 119–129. (in Chinese)
[8] Xiao J Z, Tong X. Characteristics and efficiency of a new vibrating screen with a swing trace. Particuology, 2013; 11(5): 601–606.
[9] Harzanagh A A, Orhan E C, Ergun S L. Discrete element modelling of vibrating screens. Minerals Engineering, 2018; 121: 107–121.
[10] Ma Z, Li Y M, Xu L Z. Discrete-element method simulation of agricultural particles’ motion in variable-amplitude screen box. Comput. Electron. Agr., 2015; 118: 92–99.
[11] Zhao L L, Zhao Y M, Bao C Y, Hou Q F, Yu A B. Optimisation of a circularly vibrating screen based on DEM simulation and Taguchi orthogonal experimental design. Powder Technology, 2017; 310: 307–317.
[12] Feng X, Gong Z P, Wang L J, Yu Y T, Liu T H, Song L L. Behavior of maize particle penetrating a sieve hole based on the particle centroid in an air-screen cleaning unit. Powder Technology, 2021; 385: 501–516.
[13] Wang Y, Yu J Q, Yu Y J, Zhang Q. Validation of a coupled model of discrete element method with multibody kinematics to simulate the screening process of a swing-bar sieve. Powder Technology, 2019; 346: 193–202.
[14] Xia H H, Xin T, Li Z F, Wu X Q. DEM-FEM coupling simulations of the interactions between particles and screen surface of vibrating screen. International Journal of Mining and Mineral Engineering, 2017; 8(3): 250–263.
[15] Wang L J, Wu Z C, Feng X, Feng X, Li R, Yu Y T. Design and experiment of curved screen for maize grain harvester. Transactions of the CSAM, 2019; 50(2): 119–129. (in Chinese)
[16] Liu C L, Wang YL, Song J N, Li Y N, Ma T. Experiment and discrete element model of rice seed based on 3D laser scanning. Transactions of the CSAE, 2016; 32(15): 294–300. (in Chinese)
[17] Wu M C, Cong J L, Yan Q, Zhu T, Peng X Y, Wang Y S. Calibration and experiments for discrete element simulation parameters of peanut seed particles. Transactions of the CSAE, 2020; 36(23): 30–38. (in Chinese)
[18] Ghodki B M, Patel M, Namdeo R, Carpenter G. Calibration of discrete element model parameters: soybeans. Computational Particle Mechanics, 2019; 6: 3–10.
[19] Yuan J B, Wang J F, Li H, Qi X D, Wang Y J, Li C. Optimization of the cylindrical sieves for separating threshed rice mixture using EDEM. Int J Agric & Biol Eng, 2022; 15(2): 236–247.
[20] Zhou L, Yu J, Liang L, Yu Y, Yan D, Sun K, Wang Y. Study on key issues in the modelling of maize seeds based on the multi-sphere method. Powder Technology, 2021; 394: 791–812.
[21] Shen G L, Chen Z Q, Wu X Q, Li Z F, Tong X. Stepwise shape optimization of the surface of a vibrating screen. Particuology, 2021; 58: 26–34.
[22] Gao X J, Cui T, Zhou Z Y, Yu Y B, Xu Y, Zhang D X, Song W. DEM study of particle motion in novel high-speed seed metering device. Adv. Powder Technol, 2021; 32(5): 1438–1449.
[23] Qiao J P, Duan C L, Jiang H S, Zhao Y M, Chen J W, Huang L, et al. Research on screening mechanism and parameters optimization of equal thickness screen with variable amplitude based on DEM simulation. Powder Technology, 2018; 331: 296–309.
[24] Di Renzo A, Di Maio F P. Comparison of contact-force models for the simulation of collisions in DEM-based granular flow codes. Chem. Eng. Sci., 2004; 59(3): 525–541.
[25] Dun G Q, Mao N, Gao Z Y, Wu X P, Liu W H, Zhou C. Model construction of soybean average diameter and hole parameters of seed-metering wheel based on DEM. Int J Agric & Biol Eng, 2022; 15(1): 101–110.
[26] Li X Y, Du Y F, Mao E R, Zhang Y A, Liu L, Guo D F. Design and experiment of corn low damage threshing device based on DEM. Int J Agric & Biol Eng, 2023; 16(3): 55–63.
[27] Long S F, Xu S M, Zhang Y J, Zhang J, Wang J. Effect of modeling parameters on the mechanical response of macroscopic crushing of agglomerate. Powder Technology, 2022; 408: 117720.
[28] Hao J J, Wei W B, Huang P C, Qin J H, Zhao J G. Calibration and experimental verification of discrete element parameters of oil sunflower seeds. Transactions of the CSAE, 2021; 37(12): 36–44. (in Chinese)
[29] Long, S F, Wei W B, Li D F, Kang S, Wang J. Study on separation of the tuber-soil binary mixture based on vibration and airflow coupling. Biosystems Engineering, 2024; 239: 13–24.
[30] Zhou H L, Hu Z Q, Chen J G, Lv X, Xie N. Calibration of DEM models for irregular particles based on experimental Check for design method and bulk experiments. Powder Technology, 2018; 332: 210–223.
[31] Roessler T, Katterfeld A. Scaling of the angle of repose test and its influence on the calibration of DEM parameters using upscaled particles. Powder Technology, 2018; 330: 58–66.
Downloads
Published
2024-03-31
How to Cite
Wei, W., Li, J., Hao, J., Xiao, M., & Zhang, H. (2024). Multiparameter collaborative optimization of the vibrating screen based on the behavior of oil sunflower seed penetrating screen holes. International Journal of Agricultural and Biological Engineering, 17(1), 49–58. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/8111
Issue
Section
Applied Science, Engineering and Technology
License
IJABE is an international peer reviewed open access journal, adopting Creative Commons Copyright Notices as follows.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
