Dem Simulation and Experiment of Corn Grain Grinding Process

Wang, Di; Tian, Haiqing; Zhang, Tao; He, Changbin; Liu, Fei

doi:10.1590/1809-4430-eng.agric.v41n5p559-566/2021

Cited by 7 publications

(4 citation statements)

References 14 publications

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“…Similarly, Vukmirovic et al [15] compared the effects through two different grinding methods, and their result showed that materials were more uniform in size after grinding by roller mill but generally had a larger diameter; this was quite contrary for the hammer mill. Wang et al [16] designed a pointed hammer and a bevel-faced hammer. The DEM analysis revealed that using the pointed hammerhead would improve the productivity of hammerhead mill.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Structural Optimization Test on the Collision Mechanical Model of Blade Jun-Cao Grinding Hammer

Zheng,

Chen,

Guo

2024

Agriculture

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Aiming at the problems found in grinding Jun-Cao, such as poor grinding effect and high grinding power of mill, this study proposes a blade Jun-Cao grinding hammer based on the traditional hammer mill. With dynamics model analysis, it had better performance than a traditional hammer. By simulating the operation process in the DEM, forces on Jun-Cao and their motions were analyzed. By optimizing the structural parameters of the hammer blade based on multiobjective optimization using the genetic algorithm, an optimal solution set was obtained as a reference for practical production. Meanwhile, a bench test was designed to compare the traditional rectangular hammer with the new blade hammer regarding the operation effect. The result proved the following: (1) cutting edge length, cutting edge thickness and hammer thickness had a significant influence on the grinding effect and grinding power; (2) a total of 22 optimal solution sets were obtained, based on which the blade hammer with a cutting edge length of 45 mm, a cutting edge thickness of 3 mm and a hammer thickness of 7 mm was finally selected in the bench test; (3) the bench test proved that the blade hammer was generally superior to the traditional rectangular hammer with the output per kilowatt-hour having been improved by 13.55% on average.

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Section: Introductionmentioning

confidence: 99%

Analysis and Structural Optimization Test on the Collision Mechanical Model of Blade Jun-Cao Grinding Hammer

Zheng,

Chen,

Guo

2024

Agriculture

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“…However, the study did not delineate a specific method for multiobjective optimization. Wang and colleagues [12] endeavored to enhance the operational efficiency of the hammer mill by designing hammer blades with both tip and slant hammer shapes. They utilized a blend of the discrete element method (DEM) and experimental techniques to explore the crushing processes of corn particles using different hammerheads.…”

Section: Introductionmentioning

confidence: 99%

Simulation Analysis and Multiobjective Optimization of Pulverization Process of Seed-Used Watermelon Peel Pulverizer Based on EDEM

Mou,

Wan,

et al. 2024

Agriculture

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To enhance the utilization of seed-used watermelon peel and mitigate environmental pollution, a hammer-blade seed-used watermelon peel crusher was designed and manufactured, and its structure and working parameters were optimized. Initially, the seed-used watermelon peel crusher and seed-used watermelon peel model were constructed, and the model’s parameters were calibrated. Subsequently, the discrete element method (EDEM2022) was employed to investigate the effects of spindle speed (MSS), the number of hammers (NCB), and feeding volume (FQ) on the pulverizing process. Multivariate nonlinear regression prediction models were developed for the percentage of pulverized particle size less than 8 mm (Psv), pulverizing efficiency (Ge), and power density (Ppd), followed by the analysis of influencing factors and prediction models using ANOVA. The multiobjective optimization of the prediction model utilizing the improved hybrid metacellular genetic algorithm CellDE resulted in solutions of 90.02%, 89.57%, and 8.35 × 10−3 t/(h-kw) for Psv-opt, Ge-opt, and Ppd-opt, respectively. The corresponding optimal interaction values of MSS, NCB, and FQ were determined to be 1500 r/min, 108, and 150 kg/min. Finally, a prototype test was conducted by combining the optimal factor interaction values, yielding statistically calculated values of 96.63%, 92.37%, and 7.76 × 10−3 t/(h-kw) for Psv-pr, Ge-pr, and Ppd-pr, respectively. The results indicate that the optimized values of Psv-opt, Ge-opt, and Ppd-opt models have an error of less than 8% compared to the statistically calculated values of the prototype test and outperform the values of Psv-ori, Ge-ori, and Ppd-ori obtained under the original parameters.

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“…In China, scientific research institutions and related enterprises, such as Foton Lovol, Wuzheng Group, and Yongmeng Company, have done a lot of research on corn grain combine harvesters, and have had good field test results in various provinces. However, due to the high grain moisture content of corn harvested in my country, there is still serious kernel damage (Feng et al, 2019, Chen, 2020, Wang, 2021.…”

Section: Introductionmentioning

confidence: 99%

Design and Experiment of Transverse Axial Flow Corn Flexible Threshing Device

Wang

et al. 2023

INMATEH

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In order to solve the problem of high broken rate and impurity rate in the direct harvesting of corn kernels in China, a flexible threshing element with variable stiffness consisting of a conical spring and rasp bar was developed on the basis of the existing horizontal axial-flow flow corn threshing cylinder structure to achieve low loss harvesting of corn kernels. Through mechanical analysis of the key components of the threshing element, its structure and operating parameters were determined. Then, orthogonal tests were carried out using the feed amount, threshing clearance and cylinder speed as the test factors, and the broken rate and impurity rate of the corn kernels as the test indicators. The results showed that the feed amount, threshing clearance and cylinder speed had a significant effect on the broken rate and impurity rate of corn kernels; the optimum parameters for the corn variable stiffness flexible threshing device were feed amount 6.1 kg•s−1, threshing clearance 40 mm and cylinder speed 392 r•min−1. The broken rate of corn kernels was 1.67% and impurity rate 1.03%. The test results fully met the requirements of the national standards for corn harvesting operations. This study provides a technical basis for the application of the axial flow corn flexible threshing device in the corn direct harvesting combine.

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Dem Simulation and Experiment of Corn Grain Grinding Process

Cited by 7 publications

References 14 publications

Analysis and Structural Optimization Test on the Collision Mechanical Model of Blade Jun-Cao Grinding Hammer

Analysis and Structural Optimization Test on the Collision Mechanical Model of Blade Jun-Cao Grinding Hammer

Simulation Analysis and Multiobjective Optimization of Pulverization Process of Seed-Used Watermelon Peel Pulverizer Based on EDEM

Design and Experiment of Transverse Axial Flow Corn Flexible Threshing Device

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