discrete element model
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2022 ◽  
Vol 261-262 ◽  
pp. 106730
Author(s):  
Haiyang Zhao ◽  
Liangchi Zhang ◽  
Zhonghuai Wu ◽  
Ang Liu

2022 ◽  
Vol 214 ◽  
pp. 1-10
Author(s):  
Atta Ur Rehman ◽  
Kwame Awuah-Offei ◽  
Taghi Sherizadeh ◽  
Dogukan Guner

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Istvan Keppler ◽  
Adrienn Bablena ◽  
Nihal D. Salman ◽  
Péter Kiss

PurposeTransportation of the measurement samples from their original place to the measurement site causes significant changes in their mechanical properties. The possibility of making in situ measurements helps to create more precise discrete element models.Design/methodology/approachThe possibility of using in situ modified vane shear test based measurement for the calibration of discrete element models is demonstrated in this work.FindingsThe advantage of employing the adjusted vane test is that the values of in situ measurements can be used for the calibration.Originality/valueThe procedure we present allows us to perform accurate discrete element calibration using data from on-site measurements that can be performed quickly and easily.


2021 ◽  
Vol 11 (22) ◽  
pp. 10749
Author(s):  
Zhenwei Dai ◽  
Mingliang Wu ◽  
Zhichao Fang ◽  
Yongbo Qu

In the simulation analysis of the lily harvesting process, the intrinsic parameters of the lily bulb and the contact parameters between the lily bulb and the lily mechanized harvesting equipment (Q235 steel) are deficient. Thus, the three-axis size, density, moisture content, Poisson’s ratio, elastic modulus, and other parameters of lily bulbs are measured in this paper with lily bulbs as the research object. Moreover, the discrete element model of the lily bulb was established using 3D scanning technology. The contact parameters between the lily bulb and Q235 steel were calibrated through bench test and simulation parameter test. The relative error between the measured value of the lily bulb accumulation angle and the simulated value is taken as response value to calibrate three parameters (collision recovery coefficient, static friction coefficient, and dynamic friction coefficient between lily bulbs). A regression model of the relative error of the stacking angle and three parameters is established, and the response surface is optimized. The results demonstrate that collision recovery coefficient, static friction coefficient, and dynamic friction coefficient between lily bulb and Q235 steel are 0.301, 0.423, and 0.063, respectively; these coefficients between lily bulbs are 0.455, 0.425, and 0.158, respectively. Additionally, a better combination of parameters is adopted to perform the simulation stacking test. The measured stacking angle is 32.31°, which is 0.34% in error with the stacking angle obtained by the physical stacking test. The test results suggest that the discrete element model and contact parameters of the lily bulb can be used in the discrete element simulation test. Furthermore, these research results could provide references for simulation tests, such as mechanized harvesting and post-harvest processing, of lily.


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