Affiliation:
1. College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot / China
Abstract
An optimization method based on a regression model was established by combining physical experiments, and an extended distinct element method (EDEM) simulation was proposed to address the difficult problem of obtaining the contact characteristic parameters used in the discrete element method (DEM) model of quinoa grains and for calibrating the parameters of the quinoa DEM model. The Plackett-Burman test was designed using Design-Expert software to screen the parameters of the quinoa DEM model, and the quinoa-quinoa static friction coefficient, quinoa-polylactic acid (PLA) static friction coefficient and quinoa-quinoa rolling friction coefficient were found to have significant effects on the repose angle. The optimal value intervals of the parameters with a significant impact on the repose angle were determined using the steepest ascent test. A regression model of the repose angle and the parameters with a significant impact on the repose angle was then established with the Box-Behnken design and further optimized, and the combination of optimal parameters was as follows: 0.26 for the quinoa-quinoa static friction coefficient (E), 0.38 for the quinoa-PLA static friction coefficient (F), and 0.08 for the quinoa-quinoa rolling friction coefficient (G). Lastly, the optimal combination was used in the verification performed by the DEM simulation, and the error between the simulated repose angle and the target repose angle was 0.86%. These findings indicated that it was feasible to use the response surface optimization to calibrate the parameters required for quinoa DEM simulation and that the combination of optimal parameters can provide a reference for selecting the characteristic contact parameters used in quinoa DEM simulation.
Publisher
R and D National Institute for Agricultural and Food Industry Machinery - INMA Bucharest
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering,Food Science
Reference15 articles.
1. Guang Chen, Yang Sun, Gang Wang, Huan Chen, Shanshan Tang, Xiaoxuao Yu. (2018). Comprehensive utilization and development prospect of whole-plant chenopodium quinoa. Journal of Jilin Agricultural University, Vol. 40, issue 1, pp. 1-6;
2. Ucgul, M., Saunders C., Fielke, J. M. (2017). Discrete element modelling of tillage forces and soil movement of a one-third scale mouldboard plough. Biosystems Engineering, Vol 155, issue 3, pp. 44-54;
3. Ucgul, M., Saunders, C. (2020). Simulation of tillage forces and furrow profile during soil-mouldboard plough interaction using discrete element modelling. Biosystems Engineering, Vol190, issue 2, pp.58-70;
4. Zhao Z., Li Y., Liang Z., Gong Z. (2013). DEM simulation and physical testing of rice seed impact against a grain loss sensor. Biosystems Engineering, Vol 116, issue 4, pp. 410-419;
5. Sun J., Wang Y., Ma Y., Tong J., Zhang Z. (2018). DEM simulation of bionic subsoilers (tillage depth > 40 cm) with drag reduction and lower soil disturbance characteristics. Advances in Engineering Software, Vol 119, issue 5, pp. 30-37;
Cited by
20 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献