Design and Testing of a New Bionic Corn-Ear-Picking Test Device
Source abstract
Abstract
A new bending fracture principle is proposed for ear picking by simulating the process of manually breaking off corn cobs. Based on this, a new test device for corn ear picking was designed to obtain the relationship between the ear-picking rate and the rotational speed of the snapping rollers, as well as the feeding speed. A mechanical test was conducted on corn at two different harvesting stages. This proved that the tensile breaking force used in ear picking was considerably greater than that associated with bending fracture, regardless of whether it was silage or mature corn. Moreover, the feasibility of the working principle of the bending fracture was tentatively verified by a verification test. Then, ear picking could be achieved using the designed device with less damage occurring to the corn ears and straw, according to the test for corn ear picking. Finally, a range analysis showed that the highest ear-picking rate could be obtained by the test device at a snapping roller rate of 780 r/min and a feeding speed of 1.5 (m/s), with a 40° angle between the snapping rollers and conveyor. Thus, this study provides a reference for the further development of a corn harvester for silage.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Agricultural Engineering and Mechanization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China
Funding
National Natural Science Foundation of China · Jilin Provincial Science and Technology Development Plan
References (21)
Show source-provided references
1. Evaluation of Developed Standard Sweet Corn(Zea mays sacharata L.) Hybrids for Fresh Yield, Yield Components and Quality Parameters
2. Xiang, N., Guo, X., Liu, F., Li, Q., Hu, J., and Brennan, C.S. (2017). Effect of Light- and Dark-Germination on the Phenolic Biosynthesis, Phytochemical Profiles, and Antioxidant Activities in Sweet Corn (Zea mays L.) Sprouts. Int. J. Mol. Sci., 18.10.3390/ijms18061246 ↗
3. Li, Z., Hong, T., Zhao, Z., Gu, Y., Guo, Y., and Han, J. (2022). Fatty Acid Profiles and Nutritional Evaluation of Fresh Sweet-Waxy Corn from Three Regions of China. Foods, 11.10.3390/foods11172636 ↗
4. Lignin accumulation and biosynthetic enzyme activities in relation to postharvest firmness of fresh waxy corn10.1111/jfpp.13333 ↗
5. Cover crops in sustainable food production10.1081/FRI-100100285 ↗
6. Effect of Harvest Date and Chemical Treatment on the Feeding Value of Corn Stalklage10.2527/jas1979.4951312x ↗
7. Analyzing the role of sowing and harvest time as factors for selecting super sweet (-sh2sh2) corn hybrids10.5958/0975-6906.2017.00047.5 ↗
8. Kang, Z., Huang, T., Zeng, S., Li, H., Dong, L., and Zhang, C. (2022). A Method for Detection of Corn Kernel Mildew Based on Co-Clustering Algorithm with Hyperspectral Image Technology. Sensors, 22.10.3390/s22145333 ↗
9. Sukto, S., Lomthaisong, K., Sanitchon, J., Chankaew, S., Falab, S., Lubberstedt, T., Lertrat, K., and Suriharn, K. (2021). Breeding for Prolificacy, Total Carotenoids and Resistance to Downy Mildew in Small-Ear Waxy Corn by Modified Mass Selection. Agronomy, 11.10.3390/agronomy11091793 ↗
10. Tracing the signature of Peronosclerospora maydis in maize seeds10.1007/s13313-015-0390-3 ↗
11. Effect of Planting Dates on Growth and Yield of Late-planted Sweet Corn (Zea mays L.) to Sell Fresh Ears in the Autumn10.7740/kjcs.2014.59.3.299 ↗
12. Geng, A., Hu, X., Liu, J., Mei, Z., Zhang, Z., and Yu, W. (2022). Development and Testing of Automatic Row Alignment System for Corn Harvesters. Appl. Sci., 12.10.3390/app12126221 ↗
13. Development and application of mechanized maize harvesters
14. Experiments and modeling of mechanism analysis of maize picking loss
15. Effect of impact parameters and moisture content on kernel loss during corn snapping10.31545/intagr/113490 ↗
16. Zhang, Z., Chi, R., Dong, N., Du, Y., Li, X., and Xie, B. (2020). Design and Testing of an Intelligent Control System for Maize Picking Harvest. Appl. Sci., 10.10.3390/app10248888 ↗
17. Single-pass harvest of corn grain and stover: Performance of three harvester configurations10.13031/2013.25940 ↗
18. Bao, S., and Ma, Z. (2011, January 24–25). Research on the Aging Property of Electric Field Influence on Corn Seeds. Proceedings of the Conference on Advances in Computer Science, Intelligent System and Environment (CSISE 2011), Guangzhou, China.10.1007/978-3-642-23753-9_15 ↗
19. Recognition Method of Corn and Rice Crop Growth State Based on Computer Image Processing Technology10.1155/2022/2844757 ↗
20. Corn Plant Sensing Using Real-Time Stereo Vision10.1002/rob.20293 ↗
21. Fractional Box-Behnken Designs for One-Step Response Surface Methodology10.1080/00224065.2011.11917866 ↗