Design and experimental verification of the picking cam mechanism for safflower filaments

\nA picking head for automated harvesting of safflower filaments is designed to address the low manual harvesting efficiency and scarce automatic harvesting machinery. Based on the cluster growth characteristics of safflower filaments and the requirements for filament harvesting, the key structures and parameter ranges of the “∞”-shaped cam and cutting tools are established. Using ANSYS/LS-DYNA simulation analysis, the effects of the blade edge angle, cutting inclination, and cutting speed on the mechanical properties during filament cutting are explored. After that, a safflower filament picking head cutting test bench is built. Using the Central Composite Design method, a regression model between different test factors and indicators is established, and the response surface analysis and parameter optimization are performed for the interacting factors. The optimal parameters are a cam rotational speed of 32.6 r/min, a blade edge angle of 22.5°, and a cutting inclination of 19.6°. Five repeated bench tests are conducted using these parameters for verification. The experiments show that the average success rate of cutting filaments is 90.5%, and the error between the experimental and theoretical optimal values does not exceed 2.5%. The optimization model is reasonable and feasible, meeting the design requirements of the cutting of the safflower filament picking head. The results can provide a reference for the design and development of automated safflower harvesting devices.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-12-18
DOI
https://doi.org/10.1051/meca/2024033/pdf
Primary Topic
Plant pathogens and resistance mechanisms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and experimental verification of the picking cam mechanism for safflower filaments

Springer Link (Chiba Institute of Technology)
Plant pathogens and resistance mechanisms
article

Design and experimental verification of the picking cam mechanism for safflower filaments

article en

Abstract

\nA picking head for automated harvesting of safflower filaments is designed to address the low manual harvesting efficiency and scarce automatic harvesting machinery. Based on the cluster growth characteristics of safflower filaments and the requirements for filament harvesting, the key structures and parameter ranges of the “∞”-shaped cam and cutting tools are established. Using ANSYS/LS-DYNA simulation analysis, the effects of the blade edge angle, cutting inclination, and cutting speed on the mechanical properties during filament cutting are explored. After that, a safflower filament picking head cutting test bench is built. Using the Central Composite Design method, a regression model between different test factors and indicators is established, and the response surface analysis and parameter optimization are performed for the interacting factors. The optimal parameters are a cam rotational speed of 32.6 r/min, a blade edge angle of 22.5°, and a cutting inclination of 19.6°. Five repeated bench tests are conducted using these parameters for verification. The experiments show that the average success rate of cutting filaments is 90.5%, and the error between the experimental and theoretical optimal values does not exceed 2.5%. The optimization model is reasonable and feasible, meeting the design requirements of the cutting of the safflower filament picking head. The results can provide a reference for the design and development of automated safflower harvesting devices.\n

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 37%
Plant pathogens and resistance mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.