Discrete element modeling and parameter calibration of safflower biomechanical properties

被引:5
作者
Zhang, Zhenguo [1 ,2 ]
Zeng, Chao [1 ,2 ]
Xing, Zhenyu [1 ,2 ]
Xu, Peng [1 ,2 ]
Guo, Quanfeng [1 ,2 ]
Shi, Ruimeng [1 ,2 ]
Wang, Yunze [1 ,2 ]
机构
[1] Xinjiang Agr Univ, Coll Mech & Elect Engn, 311 Nongda East Rd, Urumqi 830052, Peoples R China
[2] Xinjiang Agr Univ, Key Lab Xinjiang Intelligent Agr Equipment, Urumqi 830052, Peoples R China
基金
中国国家自然科学基金;
关键词
safflower; DEM; parameter calibration; shear test; biomechanical properties; SIMULATION;
D O I
10.25165/j.ijabe.20241702.8857
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
Understanding the biomechanical properties of safflowers is essential for appropriately designing harvesting machinery and optimizing the harvesting process. Safflower is a flexible crop that lacks a basis for relevant simulation parameters, which causes difficulties in designing harvesting machinery. In this study, a calibration method for safflowers was proposed. First, a discrete element model was established by measuring the intrinsic parameters of a safflower, such as its geometric parameters, density, Poisson's ratio, and modulus of elasticity. Second, the contact and bonding parameters were calibrated using a combination of physical and simulation tests. In the contact parameter tests, the Hertz-Mindlin (no-slip) model was implemented for the stacking angle tests conducted regarding the safflower filament. A regular two-level factorial design was used to determine the important factors and perform the steepest climb test. Moreover, the Box-Behnken design was adopted to obtain the optimal contact parameters. In the bonding parameter tests, the Hertz-Mindlin model with bonding contact was applied for the safflower shear simulation tests; moreover, the optimum bonding parameters were obtained through the central composite design test. The results demonstrated that the relative errors between the simulated and measured stacking angles and maximum shear were 3.19% and 5.29%, respectively. As a result, the safflower simulation parameters were accurately calibrated, providing a reference for appropriately setting the simulation parameters and designing key mechanical components.
引用
收藏
页码:37 / 46
页数:10
相关论文
共 50 条
  • [41] Benefits of virtual calibration for discrete element parameter estimation from bulk experiments
    Ben Turkia, Salma
    Wilke, Daniel N.
    Pizette, Patrick
    Govender, Nicolin
    Abriak, Nor-Edine
    GRANULAR MATTER, 2019, 21 (04)
  • [42] Research on discrete element parameter calibration of ore particles based on Tavares breakage model in a SAG mill
    Bao, Ming
    Wu, Wanrong
    Tian, Guangtian
    Qiu, Binghui
    PARTICUOLOGY, 2025, 96 : 44 - 56
  • [43] MATERIAL CHARACTERISATION FOR DISCRETE ELEMENT MODELLING CALIBRATION
    Frankowski, P.
    Paulick, M.
    Combarros, M.
    Simons, T. A. H.
    Kwade, A.
    Schilling, M.
    Feise, H. J.
    Morgeneyer, M.
    PARTICLE-BASED METHODS III: FUNDAMENTALS AND APPLICATIONS, 2013, : 375 - 383
  • [44] Calibration of discrete element properties and the modelling of packed rock beds
    Coetzee, C. J.
    Nel, R. G.
    POWDER TECHNOLOGY, 2014, 264 : 332 - 342
  • [45] Calibration of discrete element model parameters: soybeans
    Bhupendra M Ghodki
    Manish Patel
    Rohit Namdeo
    Gopal Carpenter
    Computational Particle Mechanics, 2019, 6 : 3 - 10
  • [46] Calibration of Discrete Element Heat Transfer Parameters by Central Composite Design
    Deng, Zongquan
    Cui, Jinsheng
    Hou, Xuyan
    Jiang, Shengyuan
    CHINESE JOURNAL OF MECHANICAL ENGINEERING, 2017, 30 (02) : 419 - 427
  • [47] Calibration and Testing of Discrete Element Modeling Parameters for Fresh Goji Berries
    Yu, Yang
    Ren, Simin
    Li, Jie
    Chang, Jiaqian
    Yu, Song
    Sun, Chao
    Chen, Tingmin
    APPLIED SCIENCES-BASEL, 2022, 12 (22):
  • [48] Calibration and experimental verification of discrete element parameters for modelling feed pelleting
    Sun, Wanfeng
    Sun, Yu
    Wang, Yu
    He, Haomeng
    BIOSYSTEMS ENGINEERING, 2024, 237 : 182 - 195
  • [49] Discrete element modeling and physical experiment research on the biomechanical properties of banana bunch stalk for postharvest machine development
    Guo, Jie
    Karkee, Manoj
    Yang, Zhou
    Fu, Han
    Li, Jun
    Jiang, Yinlong
    Jiang, Tingting
    Liu, Enxiu
    Duan, Jieli
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2021, 188
  • [50] Discrete Element Simulation Modeling Method and Parameters Calibration of Sugarcane Leaves
    Ren, Jiahui
    Wu, Tao
    Mo, Wangyujie
    Li, Ke
    Hu, Ping
    Xu, Fengying
    Liu, Qingting
    AGRONOMY-BASEL, 2022, 12 (08):