{"title":"基于离散元法的大豆结合颗粒模型的确定和参数校准","authors":"Dan-Dan Han, Qing Wang, Yun-Xia Wang, Wei Li, Chao Tang, Xiao-Rong Lv","doi":"10.1007/s40571-024-00792-1","DOIUrl":null,"url":null,"abstract":"<p>To determine the desirable bonding parameters of the soybean-bonded particle model for accidentally simulating the working process of a pneumatic soybean seed-metering device. Taking the compressive destructive force (<i>F</i><sub>c<i>,p</i></sub>) derived from the uniaxial compression test of soybean seeds as the evaluation index for the compression simulation tests. The Plackett–Burman and the steepest ascent tests were executed to identify the centroids of the influential factors that substantially affect the bonding force of the soybean-bonded particle model. The optimal values of the significance influencing variables were determined based on the Box–Behnken response surface test. The results indicated that the effect of bonded disk radius (<i>R</i><sub>B<i>,p</i></sub>) between fraction particles on the <i>F</i><sub>c<i>,p</i></sub> was extremely significant, and the effects of the restitution coefficient (<i>e</i><sub>p-steel</sub>) and static friction coefficient (<i>μ</i><sub>p-steel</sub>) of soybean-steel, normal stiffness per unit area (<i>k</i><sub>n<i>,p</i></sub>) and critical normal stress (<i>σ</i><sub>max<i>,p</i></sub>) were found to be statistically significant. The preferred values identified by Box–Behnken response surface test were 0.520 for <i>e</i><sub>p-steel</sub>, 0.274 for <i>μ</i><sub>p-steel</sub>, 4.082 × 10<sup>7</sup> N/m<sup>3</sup> for <i>k</i><sub>n<i>,p</i></sub>, 3.517 × 10<sup>5</sup> Pa for <i>σ</i><sub>max<i>,p</i></sub>, and 0.982 mm for <i>R</i><sub>B<i>,p</i></sub>, respectively. The compressive destructive force of soybean seeds was 211.32 N at this point, which was 0.2% less than the measured value of 211.74 N. The results of comparing the grain morphologies during the actual and simulated compressions indicated that the compression states had a superior consistency. It was determined that the DEM simulation input parameters for the soybean-bonded particle model calibrated were proven to be effective and dependable. The investigation presented in this paper can be utilized to effectively analyze the working process of the pneumatic soybean seed-metering devices through coupled simulation. It can also serve as a reference for other researchers to construct a particle model for DEM simulation using the BPM approach.</p>","PeriodicalId":524,"journal":{"name":"Computational Particle Mechanics","volume":null,"pages":null},"PeriodicalIF":2.8000,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Determination and parameters calibration of the soybean-bonded particle model based on discrete element method\",\"authors\":\"Dan-Dan Han, Qing Wang, Yun-Xia Wang, Wei Li, Chao Tang, Xiao-Rong Lv\",\"doi\":\"10.1007/s40571-024-00792-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>To determine the desirable bonding parameters of the soybean-bonded particle model for accidentally simulating the working process of a pneumatic soybean seed-metering device. Taking the compressive destructive force (<i>F</i><sub>c<i>,p</i></sub>) derived from the uniaxial compression test of soybean seeds as the evaluation index for the compression simulation tests. The Plackett–Burman and the steepest ascent tests were executed to identify the centroids of the influential factors that substantially affect the bonding force of the soybean-bonded particle model. The optimal values of the significance influencing variables were determined based on the Box–Behnken response surface test. The results indicated that the effect of bonded disk radius (<i>R</i><sub>B<i>,p</i></sub>) between fraction particles on the <i>F</i><sub>c<i>,p</i></sub> was extremely significant, and the effects of the restitution coefficient (<i>e</i><sub>p-steel</sub>) and static friction coefficient (<i>μ</i><sub>p-steel</sub>) of soybean-steel, normal stiffness per unit area (<i>k</i><sub>n<i>,p</i></sub>) and critical normal stress (<i>σ</i><sub>max<i>,p</i></sub>) were found to be statistically significant. The preferred values identified by Box–Behnken response surface test were 0.520 for <i>e</i><sub>p-steel</sub>, 0.274 for <i>μ</i><sub>p-steel</sub>, 4.082 × 10<sup>7</sup> N/m<sup>3</sup> for <i>k</i><sub>n<i>,p</i></sub>, 3.517 × 10<sup>5</sup> Pa for <i>σ</i><sub>max<i>,p</i></sub>, and 0.982 mm for <i>R</i><sub>B<i>,p</i></sub>, respectively. The compressive destructive force of soybean seeds was 211.32 N at this point, which was 0.2% less than the measured value of 211.74 N. The results of comparing the grain morphologies during the actual and simulated compressions indicated that the compression states had a superior consistency. It was determined that the DEM simulation input parameters for the soybean-bonded particle model calibrated were proven to be effective and dependable. The investigation presented in this paper can be utilized to effectively analyze the working process of the pneumatic soybean seed-metering devices through coupled simulation. It can also serve as a reference for other researchers to construct a particle model for DEM simulation using the BPM approach.</p>\",\"PeriodicalId\":524,\"journal\":{\"name\":\"Computational Particle Mechanics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2024-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational Particle Mechanics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s40571-024-00792-1\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Particle Mechanics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s40571-024-00792-1","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Determination and parameters calibration of the soybean-bonded particle model based on discrete element method
To determine the desirable bonding parameters of the soybean-bonded particle model for accidentally simulating the working process of a pneumatic soybean seed-metering device. Taking the compressive destructive force (Fc,p) derived from the uniaxial compression test of soybean seeds as the evaluation index for the compression simulation tests. The Plackett–Burman and the steepest ascent tests were executed to identify the centroids of the influential factors that substantially affect the bonding force of the soybean-bonded particle model. The optimal values of the significance influencing variables were determined based on the Box–Behnken response surface test. The results indicated that the effect of bonded disk radius (RB,p) between fraction particles on the Fc,p was extremely significant, and the effects of the restitution coefficient (ep-steel) and static friction coefficient (μp-steel) of soybean-steel, normal stiffness per unit area (kn,p) and critical normal stress (σmax,p) were found to be statistically significant. The preferred values identified by Box–Behnken response surface test were 0.520 for ep-steel, 0.274 for μp-steel, 4.082 × 107 N/m3 for kn,p, 3.517 × 105 Pa for σmax,p, and 0.982 mm for RB,p, respectively. The compressive destructive force of soybean seeds was 211.32 N at this point, which was 0.2% less than the measured value of 211.74 N. The results of comparing the grain morphologies during the actual and simulated compressions indicated that the compression states had a superior consistency. It was determined that the DEM simulation input parameters for the soybean-bonded particle model calibrated were proven to be effective and dependable. The investigation presented in this paper can be utilized to effectively analyze the working process of the pneumatic soybean seed-metering devices through coupled simulation. It can also serve as a reference for other researchers to construct a particle model for DEM simulation using the BPM approach.
期刊介绍：
GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods. The goal is to enhance communication among researchers in the applied sciences who use "particles'''' in one form or another in their research.
SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology. The term "particle methods/mechanics'''' has now come to imply several different things to researchers in the 21st century, including:
(a) Particles as a physical unit in granular media, particulate flows, plasmas, swarms, etc.,
(b) Particles representing material phases in continua at the meso-, micro-and nano-scale and
(c) Particles as a discretization unit in continua and discontinua in numerical methods such as
Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.
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