Kunpeng Tian

Analysis of the operating mechanism and parameter optimization of the upright conveying device for reed harvesters

Review of the field environmental sensing methods based on multi-sensor information fusion technology

In response to the unclear issue of whether the dynamic cutting performance and structural parameters of an industrial hemp blade, which was developed earlier based on the bionic prototype of the batocera horsfieldi, can be optimized in actual working conditions, this paper analyzes the effective clamping conditions of a reciprocating double-acting cutting blade for stalks and the cutting motion. To investigate the effect of different structural and motion parameters, as well as their interactions, of the bionic blade on cutting energy consumption, bionic blades with different combinations of tooth pitch and tooth angle were designed. A Box–Behnken response surface method with three factors and three levels was used to design an experimental scheme. Utilizing rigid-flexible coupling numerical simulation technology, numerical simulation experiments were conducted to investigate the cutting performance of industrial hemp stalks using the blade. A regression model for cutting energy consumption was established, and variance analysis indicated that tooth angle, speed ratio, and the interaction between tooth angle and speed ratio had an extremely significant effect on the regression model. The primary and secondary orders of factors affecting cutting energy consumption were determined to be: speed ratio > tooth angle > tooth pitch. Through optimization, the optimal parameter combination was found to be a blade tooth pitch of 6.61 mm, a tooth angle of 30°, and a speed ratio of 1.62. Under these conditions, the cutting energy consumption was 3947.99 mJ. The optimized parameters were verified through numerical simulation cutting experiments, and the results showed that the error compared with the optimization results was only 8.16%. This indicates that the optimization results have high credibility and further verifies the reliability of the model. This study can provide a reference for the development of cutting devices for industrial hemp harvesters and the selection of motion parameters.

Aiming to ease the cutting of kenaf stalks via bionics, the bionic disc cutter was designed. The upper jaw of the Batocera horsfieldi was used as a bionic prototype. Further, to explore its dynamic performance, an indoor multi-stalk cutting experimental bench was used to simulate the field operation process. A three-factor and two-level interaction orthogonal experiment was carried out; cutting speed, stalk conveying speed (machine forward speed), and blade type (ordinary disc cutter and bionic disc cutter) were used as experiment factors. The cutting pass rate and cutting specific energy consumption were selected as evaluation indexes. The range, variance, and fuzzy comprehensive evaluation analysis were carried out on the experiment results. Moreover, the main order factors affecting the bionic cutter performance were determined-blade type, conveying speed, the interaction between the cutter speed and conveying speed, and cutter speed. The optimal parameter combination scheme had a cutter speed of 1000 r/min, conveying speed of 0.4 m/s, and included bionic blades. Under this condition, the best index was the 92% cutting pass rate, with a specific energy consumption of 4.38 J/stalk. The variance analysis has shown that, with 95% confidence, the blade type has a rather significant influence on the comprehensive index. Additionally, the conveying speed also significantly influenced it, while other factors and interactions had no notable effect. The experimental comparison under the same working condition shows that the bionic blade has better cutting effect. This study provides a reference for the development of cutter and the selection of kenaf harvester operational parameters. Keywords: kenaf harvester, bionic, disc cutter, orthogonal experiment, interaction DOI: 10.25165/j.ijabe.20231606.7997 Citation: Tian K P, Zhang B, Ji A M, Huang J C, Liu H L, Shen C. Design and experiment of the bionic disc cutter for kenaf harvesters. Int J Agric & Biol Eng, 2023; 16(6): 116–123.

Aiming at the problem of large differences in the laying angle and posture of plants cut by the hemp harvester, which is unfavorable for the subsequent picking-up, this paper analyzed the laying process and laying angles, and built a conveyor-plant rigid-flexible coupling model for simulating the laying of hemp plant. Moreover, the operating parameters were tested and optimized based on the central composite design theory, and carried out multi-objective optimization with the minimum laying angle as the response index. Firstly, the formation mechanism of the laying angle of hemp harvester was studied. Secondly, a test was designed with the quadratic orthogonal rotational combination test method, with the data being processed by Design-Expert. A regression mathematical model of the laying angle was built, and the influence of the interactions between factors on the laying angle was analyzed with the response surface method. Furthermore, multi-objective optimization was conducted on the regression model according to the actual production design requirements. As a result, the best combination was obtained, that is, when the forward speed is 0.7 m/s, speed ratio 1.40, and stubble height 95 mm, the minimum laying angle can be obtained, namely 124.9°. The optimization parameters were verified by the simulation and field tests. The simulation test showed that the simulated laying angle is 125.2°, with a relative error of 0.24% from the theoretical value, under the best combination of parameters. The field test showed that the average laying angle of hemp plant is 121.8°, with a relative error of 2.5% from the theoretical value, under the best combination of parameters. The results may provide a reference for the structural improvement and operating parameter control of hemp harvesters. Keywords: agricultural machinery, hemp, laying angle, rigid-flexible coupling model, optimization, response surface analysis DOI: 10.25165/j.ijabe.20231604.7978 Citation: Huang J C, Tan L, Tian K P, Zhang B, Ji A M, Liu H L, Shen C. Formation mechanism for the laying angle of hemp harvester based on ANSYS-ADAMS. Int J Agric & Biol Eng, 2023; 16(4): 109–115.

In the present, most of the domestic reed harvesters are still in the research and prototype stage, and there is not yet a model with mature technology, strong versatility and mass production. Some modified reed harvesters used in some places can partially solve the reed harvesting problem, but there are problems such as small cutting width, unstable harvesting quality and low operational efficiency that need further improvement. In the study, a reed harvester was designed to integrate with the cutting and conveying. The key components of reed harvester were analyzed to determine the working parameters of the upper stalk-guiding device, the reciprocating double-acting cutter and the three-layer chain conveyor. Then, a quadratic orthogonal rotation combination test was designed to process the date by Design-Expert, where the failure rate, cutting efficiency and conveying rate were taken as the response indexes. An analysis was also made to explore the effects of forward speed, cutting speed, and chain conveying speed on the response index of the reed harvester. A regression mathematical model was established for the response indexes. The response surface method was then selected to implement the multi-objective optimization of the regression model. The results demonstrated that an optimal combination of operation parameters was achieved as follows: the forward speed was 0.85 m/s, the cutting speed was 1.40 m/s, and the chain conveying speed was 1.33 m/s, where the failure rate was 4.17%, the cutting efficiency was 44.21 plants/s, and the conveying rate was 93.60%. The optimized parameters were verified in the field on the reed harvester. In the field test, failure rate, cutting efficiency, and conveying rate were 4.38%, 43.82 plants/s, and 92.55%, respectively. The relative errors with the optimized values were 9.8%, 5%, and 1.1%, respectively. The results of the study provide a theoretical basis for the control of operating parameters and improved design of reed harvesting implements. Keywords: reed, harvester, operation parameters, multi-objective optimization, response surface DOI: 10.25165/j.ijabe.20221506.7909 Citation: Huang J C, Zhang B, Tian K P, Liu H L, Shen C. Design and optimization of the parameters of the key components for reed harvester. Int J Agric & Biol Eng, 2022; 15(6): 96–103.

Currently, the process parameters for compression molding of pineapple rind residue are not clear. In view of this problem, a single die hole compression molding test device was designed in this study, and the force of material in a mold hole was analyzed. Using the test device, a three-factor three-level orthogonal test was carried out by using the particle size, moisture content, and die hole length-to-diameter ratio of pineapple rind residue as the factors and the particle molding rate, relax density, and specific energy consumption as the indicators. The test results were analyzed by range analysis, variance analysis, and fuzzy comprehensive evaluation. The test results show that the main and secondary factors affecting the comprehensive performance of pineapple rind residue compression molding are length-to-diameter ratio, particle size, and moisture content. The optimal parameter combination is the material particle size of 6-9 mm, moisture content of 16%, and length-to-diameter ratio of 4:1. The best indicators under these conditions are particle molding rate of 97.80%, relax density of 1.32 g/cm, and specific energy consumption of 44.17 J/g. These research results can provide a reference for the selection of processing parameters and the design of molding equipment. Keywords: pineapple rind residue, compression molding, waste utilization, pellet forming, orthogonal test, process parameter optimization DOI: 10.25165/j.ijabe.20211403.6041 Citation: Tian K P, Zhang B, Huang J C, Liu H L, Shen C, Li X W, Chen Q M. Experimental research on optimization of compression molding process parameters of pineapple rind residue. Int J Agric & Biol Eng, 2021; 14(3): 221–227.