Calibration and experiment of the contact parameters for the discrete meta-simulation of peanut pods during harvest in saline soils

Authors

  • Zengcun Chang College of Mechanical and Electrical Engineering, Shandong Agricultural University, Tai’an 271018, China
  • Jialin Hou College of Mechanical and Electrical Engineering, Shandong Agricultural University, Tai’an 271018, China
  • Baiqiang Zuo Yellow River Delta Intelligent Agricultural Machinery Equipment Industry Academy, Dongying 257300, China
  • Shiyang Yin Qingdao Agricultural Technology Extension Center, Qingdao 266071, China
  • Dongjie Li College of Mechanical and Electrical Engineering, Shandong Agricultural University, Tai’an 271018, China
  • Yuanhao Wang College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
  • Pengcheng Ji College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
  • Dongwei Wang Yellow River Delta Intelligent Agricultural Machinery Equipment Industry Academy, Dongying 257300, China

DOI:

https://doi.org/10.25165/ijabe.v18i4.9692

Keywords:

peanut pods, saline soil, discrete element, contact parameter, stacking angle, calibration and experiment

Abstract

In this study, a simulation model of peanut pod particles during harvest in saline soil was tested to calibrate contact parameters. Discrete meta-fill models of peanut pods were generated by a 3D meter and EDEM software. The range of values of contact parameters for peanut pods was measured by conducting collision and other tests using a homemade test rig. The parameters that affect the significance of the simulation process of stacking angle were screened by the Plackett-Burman experiment, the steepest ascent experiment, and the Box-Behnken experiment. An optimization test determined the optimal simulation model parameters: The peanut pods had a Poisson’s ratio of 0.386 and a shear modulus of 3.04 MPa. The coefficient of recovery for pods-pods collisions was 0.335, the coefficient of static friction was 0.854, and the coefficient of rolling friction was 0.346. The coefficient of recovery of collision between the pods-65Mn steel was 0.339, the coefficient of static friction was 0.589, and the coefficient of rolling friction was 0.159. The test results showed a relative error of 0.42% between the stacking angle bench and simulation tests. The results can provide data support for studying the discrete metamaterial characterization of peanut pods. Keywords: peanut pods, saline soil, discrete element, contact parameter, stacking angle, calibration and experiment DOI: 10.25165/j.ijabe.20251804.9692 Citation: Chang Z C, Hou J L, Zuo B Q, Yin S Y, Li D J, Wang Y H, et al. Calibration and experiment of the contact parameters for the discrete meta-simulation of peanut pods during harvest in saline soils. Int J Agric & Biol Eng, 2025; 18(4): 53–62.

References

Wang D W, Shang S Q, Zhao D J, Zhu H J. Type-4HBL-4 two-ridges and four-lines semi-feeding self-propelled peanut combine harvester. Transactions of the CSAM, 2013; 44(10): 86–92.

Lu Y G, Wu N, Wang B, Yu Z Y, Lin D Z, Hu Z C. Measurement and analysis of peanuts’ restitution coefficient in point-to-plate collision mode. Journal of China Agricultural University, 2016; 21(8): 111–118. (in Chinese)

NBS. 2023 China Statistical Yearbook; China Statistics Press: Beijing, China, 2023; pp.147–152. (in Chinese)

Zhang H J, Han X, Yang H W, Chen X B, Zhao G Z, Sun J W, et al. Calibrating and simulating contact parameters of the discrete element for apple particles. Transactions of the CSAE, 2024; 40(12): 66–76.

Chang Z C, Sun B, Li D J, Zheng X S, Yan H P, Wang D W, et al. Design and testing of an extruded shaking vibration type pea-nut digging and harvesting machine for saline soil. AgriEngineering, 2024(4): 4182–4202.

Yu J Q, Fu H, Li H, Shen Y F. Application of discrete element method to research and design of working parts of agricultural machines. Transactions of the CSAE, 2005; 21(5): 1–6. (in Chinese)

Zeng Z W, Ma X, Cao X L, Li Z H, Wang X C. Critical review of applications of discrete element method in agricultural engineering. Transactions of the CSAM, 2021; 52(4): 1–20.

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.

Horabik J, Molenda M. Parameters and contact models for DEM simulations of agricultural granular materials: A review. Biosyst. Eng, 2016; 147: 206–225.

Li X L, Ji S Y, Duan Q L. International research progress on discrete element methods. Intern. Aca. Develop, 2017(4): 21–23. (in Chinese)

Sun J B, Liu Q, Yang F Z, Liu Z J, Wang Z. Calibration of discrete element simulation parameters of sloping soil on loess plateau and its interaction with rotary tillage components. Transactions of the CSAM, 2022; 53(1): 63–73.

Song Z H, Li H, Yan Y F, Tian F Y, Li Y D, Li F D. Calibration method of contact characteristic parameters of soil in mulberry field based on unequal diameter particles DEM theory. Transactions of the CSAM, 2022; 53(6): 21–33.

Horabik J, Beczek M, Mazur R, Parafiniuk P, Ryzak M, Molenda M. Determination of the restitution coefficient of seeds and coefficients of viscoelastic Hertz contact models for DEM simulations. Biosyst. Eng, 2017; 161: 106–119.

Zhang G Z, Chen L M, Liu H P, Dong Z, Zhang Q H, Zhou Y. Calibration and experiments of the discrete element simulation parameters for water chestnut. Transactions of the CSAE, 2022; 38(11): 41–50.

Zhang W X, Wang F Y. Parameter calibration of American ginseng seeds for discrete element simulation. Int J Agric & Biol Eng, 2022; 15(6): 16–22.

Jia H L, Deng J Y, Deng Y L, Chen T Y, Wang G, Sun Z J, Guo H. Contact parameter analysis and calibration in discrete element simulation of rice straw. Int J Agric & Biol Eng, 2021; 14(4): 72–81.

Xu F L, He J L, Wang Y H, Li J J, Liu S H, Wu N. Simulation parameters calibration about capsule discrete element model of blue flax. Journal of Gansu Agricultural University, 2021; 56(4): 144–153. (in Chinese)

Zhao S H, Liu H P, Yang C, Yang L L, Gao L L, Yang Y Q. Design and discrete element simulation of interactive layered subsoiler with maize straw returned to filed. Transactions of the CSAM, 2021; 52(3): 75–87.

Guan C S, Fu J J, Xu L, Jiang X Z, Wang S L, Cui Z C. Study on the reduction of soil adhesion and tillage force of bionic cutter teeth in secondary soil crushing. Biosyst. Eng, 2022; 213: 133–147.

Zhu H B, Qian C, Bai L Z, Zhao H R, Ma S J, Zhang X, et al. Design and experiments of active anti-blocking device with forward-reverse rotation. Transactions of the CSAE, 2022; 38(1): 1–11.

Wang G Q, Hao W J, Wang J X. Discrete unit method and its practice on EDEM; Northwestern Polytechnical University Press Co., Ltd: Xi’an, China, 2010. (in Chinese)

Li J W, Tong J, Hu B, Wang H B, Mao C Y, Ma Y H. Calibration of parameters of interaction between clayey black soil with different moisture content and soil-engaging component in northeast China. Transactions of the CSAE, 2019; 35(06): 130–140. (in Chinese)

Joseph St. ASAE S368.4 DEC2000 (R2017): Compression test of food materials of convex shape; American Society of Agricultural and Biological Engineers, 2017.

Xing J J, Zhang R, Wu P, Zhang X R, Dong X H, Chen Y, et al. Parameter calibration of discrete element simulation model for latosol particles in hot areas of Hainan Province. Transactions of the CSAE, 2020; 36(5): 158–166. (in Chinese)

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.

Zhang K P, Hou C K, Sun B G, Su Z K. Discrete element simulation parameter calibration of pea grains at harvest time. Agricultural Research in the Arid Areas, 2022; 40(6): 286–294. (in Chinese)

Li Y, Hu C. Experiment design and data processing. Chemical Industry Press Co., Ltd. Beijing, China, 2017. (in Chinese)

Shen H Y, Gu M, Guo K, Ling J, Gu F W, Pan L, et al. Research on the mechanical properties of peanuts during the harvesting period. AgriEngineering, 2024; 6(3): 3070–3083. DOI: 10.3390/AGRIENGINEE RING6030176

Ling J, Gu M, Luo W W, Shen H Y, Hu Z C, Gu F W, et al. Simulation analysis and test of a cleaning device for a fresh-peanut-picking combine harvester based on computational fluid dynamics–discrete element method coupling. Agriculture, 2024; 14(9): 1594. [30] Chen K, Yin X, Ma W P, Jin C Q, Liao Y Y. Contact parameter calibration for discrete element potato minituber seed simulation. Agriculture, 2024; 14(12): 2298.

Zhang J, Jiang X M, Yu Y J. Modeling method of corn kernel based on discrete element method and its experimental study. Agriculture, 2024; 14(12): 2195.

Liu F Y. Discrete element modelling of the wheat particles and short straw in cleaning devices. PhD thesis, Northwest A&F University, Shaanxi, China, 2018. (in Chinese)

Coetzee C J. Calibration of the discrete element method and the effect of particle shape. Powder Technol, 2017; 310: 104–142.

Downloads

Published

2025-08-21

How to Cite

Chang, Z., Hou, J., Zuo, B., Yin, S., Li, D., Wang, Y., … Wang, D. (2025). Calibration and experiment of the contact parameters for the discrete meta-simulation of peanut pods during harvest in saline soils. International Journal of Agricultural and Biological Engineering, 18(4), 53–62. https://doi.org/10.25165/ijabe.v18i4.9692

Issue

Vol. 18 No. 4 (2025): IJABE

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:


  1. 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.

  2. 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.

  3. 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).