Calibration and Experimental Validation of Contact Parameters in a Discrete Element Model for Tobacco Strips

Jiang, Wei; Wang, Lihua; Tang, Jun; Yin, Yunfei; Zhang, Hao; Jia, Tongpeng; Qin, Jiwei; Wang, Huaiyu; Wei, Qike

doi:10.3390/pr10050998

Cited by 6 publications

(8 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This study revealed that µ r,pp , µ s,pp and µ s,ps exert significant effects on the stacking angle, which is consistent with previous research works' conclusions [28,30]. This might occur because walnuts make autorotation to respond to the coupling effect between the frictional force and gravity during cylinder lifting.…”

Section: Discussionsupporting

confidence: 90%

Determination Method of Core Parameters for the Mechanical Classification Simulation of Thin-Skinned Walnuts

Jiang

Tang

et al. 2022

Agriculture

View full text Add to dashboard Cite

Simulation can be used to visualize the mechanical classification of walnuts. It can collect microscopic information about walnuts in the classification roller and guide its optimization design. In this process, simulation parameters are essential factors that ensure the effectiveness of the simulation. In this study, the crucial parameters of thin-skinned walnut particles in classification simulation were determined by combining the discrete element method (DEM) and physical tests. Firstly, the moisture content, shear modulus, stacking angle, and some contact parameters in the shell and kernel were obtained by drying test, compression test, cylinder lifting test, and physical test of contact parameters, respectively. A walnut model was constructed using reverse modeling technology. Then, the ranges of the rest contact parameters were determined using simulation inversion based on the Generic EDEM Material Model database. Second, the parameters significantly influencing the stacking angle were screened via the Plackett–Burman test using contact parameters as factors and stacking angle as the index. The results revealed that the walnut–walnut static friction coefficient, walnut–walnut rolling friction coefficient, and walnut–steel plate static friction coefficient significantly affect the stacking angle. The steepest ascent experiment produced the optimal value intervals of crucial parameters. Besides, a quadratic regression model of important parameters was built using the Box–Behnken test to achieve the optimal parameter combination. The stacking and classification experiments verified that the stacking angle and morphology are mostly similar under calibration parameters without any considerable differences. The relative error was only 0.068%. Notably, the relative error of the average staying time of walnut in the classification roller was 0.671%, and the dimensionless distribution curves of stay time were consistent. This study provides technological support to the simulation analysis of walnut classification and recommends novel methods and references to determine the parameters of other shell materials.

show abstract

Section: Discussionsupporting

confidence: 90%

Determination Method of Core Parameters for the Mechanical Classification Simulation of Thin-Skinned Walnuts

Jiang

Tang

et al. 2022

Agriculture

View full text Add to dashboard Cite

show abstract

Section: Experimental Verification Of the Moisture Contentmentioning

confidence: 99%

“…The experimental material used was Yuxi tobacco strips with a density of 280 kg/m 3 [8], which were sampled and placed in a sealed bag. The initial moisture content of heaped tobacco strips was calculated to be 8.5% by using the weight method [30] after drying at 105 • C. The experimental equipment includes a scaled-down rewet box (0.39 m × 0.44 m × 0.7 m), some net baskets (0.08 m × 0.08 m × 0.1 m), a temperature-controlled steamer, an electronic balance, a ruler, and a temperature and relative humidity meter.…”

Section: Experimental Verification Of the Moisture Contentmentioning

confidence: 99%

“…No matter which rewetting method is used, it is greatly influenced by the process parameters. Because of the numerous and complex process parameters [5][6][7] and because adjustment mainly relies on manual experience [8], various problems arise, such as reduced tobacco quality and high moisture and vapor consumption [9]. The influence of relative humidity and temperature on rewetting characteristics is a problem that urgently needs to be solved.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of Rewetting Characteristics and Process Parameters in Tobacco Strip Redrying Stage

Wang

Jiang

et al. 2022

Applied Sciences

Self Cite

View full text Add to dashboard Cite

To study the rewetting characteristics of tobacco strips during the redrying stage, a conjugate heat and mass transfer model of tobacco strips was established based on their physical properties. The fundamental relationship between the multiphysical fields and humidity fields of tobacco strips and the key process parameters was considered in this model, and the feasibility of the model was verified via experiments. Based on this model, the transfer and variation laws of the moisture content, humidification rate, and temperature of tobacco strips under different relative humidity and temperature conditions were studied, and the rewetting process parameters of tobacco strips were determined using COMSOL Multiphysics. The results show that this model can be used to study the rewetting characteristics of tobacco strips during the redrying stage. The rewetting of tobacco strips can be divided into two stages, namely, the accelerated stage and approximate constant rate increase stage, where the former stage has a greater impact on the rewetting effect. The higher the relative humidity and temperature, the greater the change in the moisture content, humidification rate, and effective moisture diffusivity, and the faster the increase rate. The best rewetting effect was achieved when the relative humidity was 85% and the temperature was 55 °C. Under these conditions, the moisture content of the tobacco strips was 11% to 13%, the humidification rate was 0.03 %/s to 0.29 %/s, the highest effective moisture diffusivity was 7.8 × 10−10 m2/s, and the maximum activation energy was 37.86 kJ/mol. This study provides a theoretical basis and data support for analyzing the characteristics of the rewetting process and for optimizing the process parameters.

show abstract

“…accurately and rapidly acquired the DEM model parameters of pig manure organic manure grains after treatment with Hermetia illucens, and with the repose angle as the response value and on basis of response surface method (RSM), calibrated the pig manure organic manure simulation parameters at the water content of 43.6% after the treatment with Hermetia illucens, providing a theoretical basis for fertilization machine screening [15]. As for calibration of other parameters, Wei Jiang et al simulated the repose angle of tobacco through DEM, and built a regression RSM model between the repose angle (as the response value) and contact parameters [16]. Jiahui Ren et al measured the basic physical parameters and repose angle of sugar cane leaves through physical experiments, and conducted DEM simulation using the repose angle as the response value, which offered reference for parameter calibration of the strip-and blade-shaped straw materials [17].…”

Section: Introductionmentioning

confidence: 99%

Physical parameter measurement and discrete element simulation parameter calibration with fresh Rhizoma polygonati

Zheng,

Hu,

Yang

et al. 2024

Preprint

View full text Add to dashboard Cite

This study is aimed to solve the parameter shortage during discrete element method (DEM) simulation in mechanized deseeding of fresh Rhizoma polygonati, and to calibrate DEM simulation parameters of fresh R. polygonati using physical measurement and simulation trials. First, the physical properties of fresh R. polygonati from picking to 15 days of stacking, and the contact parameters between fresh R. polygonati and different materials along with the prolonging of stacking days were measured through physical experiments. Based on the physical test results, the parameters significantly affecting the repose angle of fresh R. polygonati were screened out via Plackett-Burman test. The collision recovery coefficient, static friction coefficient, and rolling friction coefficient between fresh R. polygonati fruits all significantly affected the repose angle of fresh R. polygonati. On basis of Plackett-Burman test, a steepest ascent test was designed to further clarify the ranges of the significant parameters. Targeting at the actual repose angle of fresh R. olygonati (27.23°), we conducted Box-Behnken test and obtained the optimal parameter combination for DEM simulation of fresh R. polygonati. Verification tests showed the relative errors between the simulated values and measured values of repose angle in fresh R. polygonati were less than 3%, which proves the DEM simulation parameters are reliable.

show abstract

Calibration and Experimental Validation of Contact Parameters in a Discrete Element Model for Tobacco Strips

Cited by 6 publications

References 21 publications

Determination Method of Core Parameters for the Mechanical Classification Simulation of Thin-Skinned Walnuts

Determination Method of Core Parameters for the Mechanical Classification Simulation of Thin-Skinned Walnuts

Analysis of Rewetting Characteristics and Process Parameters in Tobacco Strip Redrying Stage

Physical parameter measurement and discrete element simulation parameter calibration with fresh Rhizoma polygonati

Contact Info

Product

Resources

About