Abstract
Introduction: The design of the maize metering device involves centrifugal variable diameter pneumatic and cleaning mechanisms, aiming to enhance the performance and power efficiency of pneumatic maize metering devices. Leveraging the impact of changes in centrifugal diameter and the guidance and positioning of airflow, we optimize the hole insert, seeding plate, seed limit board, and integrated front shell. This optimization facilitates the adjustment of both the quantity and posture of seed filling. As a result, seeds can form a uniform flow within the annular cavity, reducing the wind pressure necessary for regular operation and decreasing power consumption. Methods: A quadratic regression orthogonal rotation combination experiment is conducted using a self-made experiment bench, considering ground speed, wind pressure, and seeding rate as the experiment factors. Furthermore, a comparative experiment involving a novel centrifugal variable-diameter type metering device. Results: The results indicate optimal seeding performance when the ground speed is 13.2 km/h, the wind pressure is 1.2 kPa, and the feeding rate is 25 seeds/s. Under these conditions, the quality of feed index reaches 95.20%, the multi-index is 3.87%, and the miss index is 0.93%. Findings reveal that the developed seed metering device achieved a quality of feed index exceeding 93.00% across varying speeds of 12~18 km/h, aligning with the production requirements. Moreover, the actual power consumption of Type B and C is about 85.00% and 98.00% lower than Type A, standing at only 32.90 W at 18 km/h. The COP of Type C is about 86 times and 12 times that of Type A and B, respectively, meeting the demands for efficient production of maize seed metering devices. Discussion: In comparison to traditional design and structural parameter optimization methods for maize seed metering device, this study is helpful to the sustainable development of maize industry and reduce environmental pollution.
Abstract from the paper’s OpenAlex record; open copy licensed cc-by. Read at the source ↗
The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.
Claims 10
Claim · model-written summary
Optimal metering performance occurred at 13.2 km/h, 1.2 kPa, and 25 seeds/s.
- Outcome
- optimal seeding performancee0
- Value
- 13.2 km/he0
- Qualifier
- the wind pressure is 1.2 kPa, and the feeding rate is 25 seeds/se0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“The results indicate optimal seeding performance when the ground speed is 13.2 km/h, the wind pressure is 1.2 kPa, and the feeding rate is 25 seeds/s.”
t0“design of the maize metering device involves”
Claim · model-written summary
At optimal settings the quality of feed index was 95.20%.
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“Under these conditions, the quality of feed index reaches 95.20%, the multi-index is 3.87%, and the miss index is 0.93%.”
t0“design of the maize metering device involves”
Claim · model-written summary
At optimal settings the multi-index was 3.87%.
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“Under these conditions, the quality of feed index reaches 95.20%, the multi-index is 3.87%, and the miss index is 0.93%.”
t0“design of the maize metering device involves”
Claim · model-written summary
At optimal settings the miss index was 0.93%.
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“Under these conditions, the quality of feed index reaches 95.20%, the multi-index is 3.87%, and the miss index is 0.93%.”
t0“design of the maize metering device involves”
Claim · model-written summary
The device exceeded a 93.00% quality of feed index at speeds of 12~18 km/h.
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“the developed seed metering device achieved a quality of feed index exceeding 93.00% across varying speeds of 12~18 km/h”
t0“design of the maize metering device involves”
Claim · model-written summary
Type B consumed about 85.00% less power than Type A.
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“the actual power consumption of Type B and C is about 85.00% and 98.00% lower than Type A, standing at only 32.90 W at 18 km/h.”
t0“design of the maize metering device involves”
Claim · model-written summary
Type C consumed about 98.00% less power than Type A.
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“the actual power consumption of Type B and C is about 85.00% and 98.00% lower than Type A, standing at only 32.90 W at 18 km/h.”
e1“The COP of Type C”
t0“design of the maize metering device involves”
Claim · model-written summary
Power consumption was 32.90 W at 18 km/h.
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“standing at only 32.90 W at 18 km/h.”
e1“actual power consumption of Type B and C”
t0“design of the maize metering device involves”
Claim · model-written summary
Type C COP was about 86 times Type A.
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“The COP of Type C is about 86 times and 12 times that of Type A and B, respectively”
t0“design of the maize metering device involves”
Claim · model-written summary
Type C COP was about 12 times Type B.
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“The COP of Type C is about 86 times and 12 times that of Type A and B, respectively”
e1“actual power consumption of Type B and C”
t0“design of the maize metering device involves”