Research of Single-Particle Compression Ratio and Prediction of Crushed Products and Wear on the 6-DOF Robotic Crusher

Duan, Guochen; Shi, Boqiang; Gu, Jie

doi:10.1155/2021/6634272

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…At present, the research on biomass crushing is related to the fact that the research object is quite different from Jun-Cao. On the other hand, the research is focused on the hammer structure [17][18][19][20][21], model prediction [22], flow field analysis [23] and properties analysis [24][25][26], and the analysis of the force model in the crushing process is relatively vague.…”

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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“…Li et al [23] examined the functional relationship between liner wear and cone crusher structure parameters by simulating the crushing process of different-shaped particles. Duan et al [24] simulated the crushing process of a single particle in a cone crusher, calculated the wear amount on the liner at each stage of the life cycle, and compared the results with the experimental data of the Ansteel Group. Although existing models have allowed for extensive research to be conducted on the wear mechanism of metal planes and the performance of certain analyses on the wear law of the crushing chamber;, there have been no investigations into adjustments to worn crushing chambers based on the particular structure of the cone crusher.…”

Section: Introductionmentioning

confidence: 99%

Constant Wear Criterion for Optimization of the Crushing Chamber of Cone Crushers

2022

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The crushing chamber is the core component of a cone crusher, consisting of mantle and concave parts. Reducing the impact of crushing chamber wear on the performance of cone crushers and the quality of crushed products while extending the service life of the mantle and concave has become a significant research challenge. The impact of the compression ratio and particle size distribution coefficient on the particle crushing pressure is investigated here in order to establish the particle pressure model. The effect of the normal and tangential components of particle crushing pressure on the wear of the mantle and concave is discussed, and the wear with the increase in crushed products and accumulation of operating time is explored in order to develop a wear model of the crushing chamber. By evaluating the compensation of the worn crushing chamber according to the adjustment mechanism of the mantle, a constant wear criterion for the crushing chamber of the cone crusher is proposed. Through analysis of industrial experimental data on an experimental prototype of a ZS200MF cone crusher with an optimized mantle and concave, the capacity was found to fluctuate at 83.45 t/h with no apparent downward trend, the calibration size production was reduced by 6.2%, and the wear similarity coefficient was 8.82%. This indicates that replacing the optimized mantle and concave based on the constant wear criterion maintains the performance of the cone crusher, delays the decline in the quality of the crushed products, and ensures similarity between the adjusted worn crushing chamber and the initial crushing chamber, which verifies the feasibility and effectiveness of the constant wear criterion for the optimization of crushing chamber. Based on the constant wear criterion, cone crushers can be optimized to obtain a crushing chamber with constant wear characteristics, which provides theoretical support for the development of new high-efficiency cone crushers as well as the optimization of existing equipment.

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Multi-Objective Optimal Control Method for the 6-DOF Robotic Crusher

Duan,

Yao,

Zhan

et al. 2024

Applied Sciences

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In order to achieve the best crushing effect of the 6-DOF robotic crusher, a multi-objective optimal control method for the 6-DOF robotic crusher has been proposed. Taking the mass fraction of crushed products below 12 mm, total energy consumption, effective energy consumption, output, and wear as the working indexes, and taking the suspension point, precession angle, and swing frequency of the mantle as the working conditions of the crusher, the working indexes under different working conditions are calculated. And, based on the above parameters, the optimization objective function of the 6-DOF robotic crusher is obtained. The weight determination method of fuzzy multiple attributes decision making (FMADM) is used to determine the equivalent wear and the optimization target weight. Compared with the original scheme, the output increases and the energy consumption decreases significantly. The results can be used as a reference for the control strategy of the 6-DOF robotic crusher. It can also be used as a reference for the design of a traditional cone crusher.

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Research of Single-Particle Compression Ratio and Prediction of Crushed Products and Wear on the 6-DOF Robotic Crusher

Cited by 3 publications

References 27 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

Constant Wear Criterion for Optimization of the Crushing Chamber of Cone Crushers

Multi-Objective Optimal Control Method for the 6-DOF Robotic Crusher

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