journal article·2025-10-01Open access

Effect of wet paddy and stalk parameter for DEM simulation based on Hertz–Mindlin with JKR model

Pengfei Qian, Qi He, Zhong Tang, Tingwei Gu, Liquan Tian

AIP Advances· Volume 15· Issue 10

Abstract

The cleaning of wet rice threshed outputs presents a critical constraint on the operational efficiency of harvesters during humid conditions. This study aimed to quantify the specific impact of wet-state conditions on the physical properties of rice threshed outputs. Utilizing the Hertz–Mindlin with Johnson–Kendal–Roberts contact model, Plackett–Burman screening experiments were designed in Design-Expert to identify contact parameters significantly influencing the dynamic angle of repose. For the six most significant parameters, a six-factor, three-level Box–Behnken experimental design was implemented. Analysis of variance was performed on the experimental data, establishing a multivariate nonlinear regression model relating the dynamic angle of repose to the key contact parameters. Systematic measurements were conducted to determine the compositional content and key physical parameters of the constituent materials: the elastic modulus of paddy was 216.3 MPa; the elastic moduli of stalks (categorized by diameters of 4, 5, and 6 mm) were 5.59, 6.28, and 8.93 MPa, respectively; the paddy friction coefficient was 0.518; the stalk sliding friction coefficient was 0.566 and rolling friction coefficient was 0.115; and the surface moisture contents were 7.76% for paddy and 11.8% for stalks, respectively. The optimized contact parameter group of wet paddy and stalks was compared with the measured values. The relative error of the predicted angle of repose for the paddy was only 0.23%, and the error for the rice stalks was 1.3%. The precise contact parameters established in this study provide crucial foundational support for the development of subsequent CFD-DEM coupled numerical models.
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Research context

OpenAlex topics: Granular flow and fluidized beds · Landslides and related hazards · Soil Mechanics and Vehicle Dynamics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Mechanical Engineering, Jiangsu University 1 , Zhenjiang 212013,

School of Agricultural Engineering, Jiangsu University 2 , Zhenjiang 212013,

Intelligent Manufacturing College, Jinhua University of Vocational Technology 3 , Jinhua 321017,

Funding

Natural Science Foundation of Jiangsu Province · Key Laboratory Equipment of Modern Agriculture Equipment and Technology, Ministry of Education · Nantong Social Livelihood Science and Technology Project · Innovation and Practice Fund Project of the School of Artificial Intelligence and Intelligent Manufacturing of Jiangsu University · Postgraduate Research and Practice Innovation Program of Jiangsu Province · National Natural Science Foundation of China

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