Analysis and Optimization on the Process of Adjustable Double Drum Castor Shelling Based on Discrete Element Method

Self Cite

Castor is one of the important oil crop, the shelling process of which directly affects the quality of castor seeds. In the process of shelling, the shelling force of castor is an important index to study its damage. The castor capsule model was established and the shelling test machine was established based on the discrete element method. Then the extrusion law of castor capsule during shelling was analyzed. The shelling process is divided into three stages, which are the Initial stage, stable shelling stage and the final stage. The force law of shelling process is analyzed. The results show that with the increase of rotating speed, the maximum force decreases from 68.78 to 68.10 N, the maximum speed increases from 8.92 to 12.99 m/s, the force of inner drum increases from 509.34 to 533.14 N, and then decreases to 456.15 N. The shelling increases from 91.23% to 91.28%, and then decreases to 88.89%. With the increase of filling amount, the maximum force increases from 55.86 to 76.93 N, the maximum speed decreases from 12.99 to 10.86 m/s, the force of inner drum increases from 338.58 to 603.364 N, and the shelling rate changes from 91% to 90.05%. This study can provide theoretical support for the design of castor shelling machine.

Section: Test Methods and Instrumentsmentioning

confidence: 99%

“…The results suggested that the film was of tensile strength after its mechanical properties have been reinforced. The force and rate of shelling removal of the inner drum were analyzed (Hou et al, 2020). The results provided theoretical support for the design of the castor shelling machine.…”

Section: Introductionmentioning

confidence: 99%

Simulation and Experiment on the Process of Castor Shelling Based on Discrete Element Method

HOU,

REN,

ZHU

et al. 2023

Self Cite

“…In recent decades, two-dimensional cameras have been widely used in the field of computer vision (Bewley et al, 2008;Chen et al, 2018;Junming et al, 2020). However, this technique has limitations in measuring animal body parameters, such as changes in light intensity, difficulty of background separation and image acquisition environment (Viazzi et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Research on Pig Body Size Measurement System Based on Stereo Vision

GENG,

YUE,

et al. 2023

Body size of pigs is an important evaluation indicator in pig breeding. The traditional method of body size measurement is usually in manual way, which requires more employees and causes stress reactions of pigs. In response to the shortcomings of the traditional methods, this paper designed a system for measuring the body size of pigs based on stereo vision. The point cloud of both the calibration object and the pig was collected using dual KinectV2 cameras. Pre-processing was conducted using filtering and random sample consensus to remove background noise from the point clouds. As there was limited overlap between the two sides of the point clouds, the rotation matrix obtained from registering the calibration object was applied to the pig point clouds. Curve fitting and slicing were then utilized to measure the pig's body dimensions, including length, width, height, and abdominal circumference. The results of the study indicated that the mean absolute percentage error (MAPE) was 2.13% for body length, 1.02% for body width, 1.05% for body height, and 2.21% for abdominal girth. These results demonstrate the high accuracy and practical production value of the system.

A General Modelling Approach for Coated Cotton-Seeds Based on the Discrete Element Method

Wang

et al. 2021

In the current paper, a coated cotton-seed discrete element model was established. Furthermore, we designed a device for the simultaneous determination of the repose and accumulation angles, and Plackett–Burman and central composite design (CCD) tests were performed with the repose and accumulation angles as the test indexes. The static friction coefficient between seeds (SFCC) and the dynamic friction coefficient between seeds (DFCC) were observed to have a significant influence on the indexes and were thus selected for the subsequent analysis (P < 0.05). Analysis of variance revealed the terms of these two parameters to have a significant effect on the relative error of the repose angle (RERA) and the relative error of accumulation angles (REAA) (P < 0.05). A solution to the proposed mathematical model was determined via the NSGA-Ⅱ genetic algorithm and the Pareto optimal solution set was obtained. Based on multi-objective optimization, the SFCC and DFCC were determined as 0.174 and 0.068, for RERA and REAA values of 1.715% and 1.712%, respectively. Simulations were then performed using the optimal parameters. Results of the T-test demonstrated that there were no significant differences between the simulated and physical test results.