<i>Retracted:</i> Design and performance test on segmented‐differential threshing and separating unit for head‐feed combine harvester

Tian, Liquan; Lin, Xiaofei; Xiong, Yi; Zhao, Dan

doi:10.1002/fsn3.2202

Cited by 3 publications

(2 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a result, with the advancing speed (x 1 ), threshing drum speed (x 2 ), and centrifugal fan speed (x 3 ) as independent variables and the threshing rate (Y 1 ) and total loss rate (Y 2 ) as response values, the test site was divided into 17 equal test areas of 25 m × 1.9 m in length × 1.9 m in width, using a three-factor, three-level response surface analysis method based on the Box-Behnken experimental design principle. An area of no less than 2 m was reserved at each end of the test area as an adjustment zone, and 17 sets of response surface analysis tests were implemented (Figure 12) with the fully harvested test area as the end single-test signal [35], and each test factor code as shown in Table 2. A small sample of no less than 1000 g of discharge from the grain outlet within the test trip was picked up at the end of the single test, and the mass of dropped flax seeds per square of the test area was randomly determined after the operation per the five-point sampling method, using clean sample bags for bagging and numbering for a total of five operations, with five squares taken each time as a source of test data, and measured using an electronic scale with an accuracy of 0.001 g after the completion of multiple operations, with the results averaged.…”

Section: Test Methods and Evaluation Indicatorsmentioning

confidence: 99%

Optimal Design and Testing of a Crawler-Type Flax Combine Harvester

et al. 2023

View full text Add to dashboard Cite

China is a large flax-growing country, with planting area and production ranking among the top three in the world. However, the cultivation range of flax in China is very broad, complex, and diverse, resulting in different planting scales and patterns, making it difficult to apply foreign large combine harvesters, and China lacks a dedicated flax combine harvester. This research improved the design of the 4LZ-4.0 crawler-type flax combine harvester for the regional features and flax cropping patterns in China. First, the structure, technical parameters, and working principles of the machine were introduced; second, the theoretical analysis and optimization of key components were performed; and finally, with the advancing speed of the machine, the speed of the threshing drum, and the speed of the suction fan as independent variables and the rate of removal and the total loss rate as response values, a three-factor, three-level response surface analysis method was used. For each component and response value, a mathematical model was created, and the factors and their interactions were evaluated and confirmed. The results demonstrated that the three parameters impact the threshing drum speed, advancing speed, and centrifugal fan speed in that order of priority, as well as the total loss rate in that order of priority. The machine’s optimal operating settings were 1.5 m·s−1 advancing speed, 788.49 r·min−1 threshing drum speed, and 885.34 r·min−1 centrifugal fan speed, and the validation test results indicated that under the typical dryland dense flax cultivation mode, it had a 97.46% threshing rate and 2.99% total loss rate after the test. This demonstrated that optimizing operational parameters may decrease losses in the process of mechanical flax harvesting, enhance harvesting efficiency, and satisfy the marketable flax harvesting standards.

show abstract

Section: Test Methods and Evaluation Indicatorsmentioning

confidence: 99%

Optimal Design and Testing of a Crawler-Type Flax Combine Harvester

et al. 2023

View full text Add to dashboard Cite

show abstract

“…At present, the common threshing device with constant transmission ratio has a high loss rate at harvest for rice under different planting conditions. Many scholars propose to improve the threshing effect by improving the clearance, rotation speed, or diameter of the threshing cylinder [21][22][23] . However, it is not suitable for complex operating environment in hilly area.…”

Section: Introductionmentioning

confidence: 99%

Structure design and rice threshing performance of the variable-speed inertial pulley for simulating artificial threshing

Jing,

Tang,

Hao

et al. 2024

International Journal of Agricultural and Biological Engineering

View full text Add to dashboard Cite

Due to the small models and compact structures, small harvesters have also caused problems such as poor threshing separation performance and large loss rates. In order to solve unstable cleaning effects of small harvesters when they facing different working conditions, this study selected rice plants in hilly areas for the experiment. Tensile breaking force of different parts of mature rice was tested, which revealed the fracture mechanism of each part under the combined force. Inertial threshing method was used to simulate artificial plate bin and design three kinds of non-circular pulley variable speed transmission threshing mechanism. With the help of transient inertia force, threshing force was compensated. This paper tested the harvesting performance of the variable speed threshing device with the help of the harvest performance test. Results show when facing the small rice planting area, the T/2 variable speed threshing device has better cleaning performance, and also the harvest loss rate of T/4 variable speed threshing device is the lowest. Compared with the constant speed threshing device, the impurity content rate of the variable speed threshing device is increased by 0.64% to 8.76%; the loss rate is reduced by 0.45% to 1.79%, which provides a basis for the optimization design of small combine harvester in hilly areas.

show abstract

Research on a Method for Measuring the Pile Height of Materials in Agricultural Product Transport Vehicles Based on Binocular Vision

Qian,

Wang,

Wang

et al. 2024

Sensors

View full text Add to dashboard Cite

The advancement of unloading technology in combine harvesting is crucial for the intelligent development of agricultural machinery. Accurately measuring material pile height in transport vehicles is essential, as uneven accumulation can lead to spillage and voids, reducing loading efficiency. Relying solely on manual observation for measuring stack height can decrease harvesting efficiency and pose safety risks due to driver distraction. This research applies binocular vision to agricultural harvesting, proposing a novel method that uses a stereo matching algorithm to measure material pile height during harvesting. By comparing distance measurements taken in both empty and loaded states, the method determines stack height. A linear regression model processes the stack height data, enhancing measurement accuracy. A binocular vision system was established, applying Zhang’s calibration method on the MATLAB (R2019a) platform to correct camera parameters, achieving a calibration error of 0.15 pixels. The study implemented block matching (BM) and semi-global block matching (SGBM) algorithms using the OpenCV (4.8.1) library on the PyCharm (2020.3.5) platform for stereo matching, generating disparity, and pseudo-color maps. Three-dimensional coordinates of key points on the piled material were calculated to measure distances from the vehicle container bottom and material surface to the binocular camera, allowing for the calculation of material pile height. Furthermore, a linear regression model was applied to correct the data, enhancing the accuracy of the measured pile height. The results indicate that by employing binocular stereo vision and stereo matching algorithms, followed by linear regression, this method can accurately calculate material pile height. The average relative error for the BM algorithm was 3.70%, and for the SGBM algorithm, it was 3.35%, both within the acceptable precision range. While the SGBM algorithm was, on average, 46 ms slower than the BM algorithm, both maintained errors under 7% and computation times under 100 ms, meeting the real-time measurement requirements for combine harvesting. In practical operations, this method can effectively measure material pile height in transport vehicles. The choice of matching algorithm should consider container size, material properties, and the balance between measurement time, accuracy, and disparity map completeness. This approach aids in manual adjustment of machinery posture and provides data support for future autonomous master-slave collaborative operations in combine harvesting.

show abstract

Retracted: Design and performance test on segmented‐differential threshing and separating unit for head‐feed combine harvester

Cited by 3 publications

References 17 publications

Optimal Design and Testing of a Crawler-Type Flax Combine Harvester

Optimal Design and Testing of a Crawler-Type Flax Combine Harvester

Structure design and rice threshing performance of the variable-speed inertial pulley for simulating artificial threshing

Research on a Method for Measuring the Pile Height of Materials in Agricultural Product Transport Vehicles Based on Binocular Vision

Contact Info

Product

Resources

About