Design and Experiment of a Laser Scoring Device for Camellia oleifera Fruits

Xinhan Luo, Yujia Cui, Xiwen Yang, Guangfa Hu and Zhili Wu ()
Additional contact information
Xinhan Luo: College of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha 410128, China
Yujia Cui: College of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha 410128, China
Xiwen Yang: College of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha 410128, China
Guangfa Hu: College of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha 410128, China
Zhili Wu: College of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha 410128, China

Agriculture, 2025, vol. 15, issue 9, 1-15

Abstract: To address the low shelling rate and high seed breakage in existing oil tea fruit shelling devices, a novel laser scoring device was designed for fresh Camellia oleifera fruits. Experimental studies were conducted to optimize the key parameters of the custom-built laser scoring machine, aiming to improve scoring qualification rates. Through single-factor tests and response surface methodology, a regression model was developed to characterize the relationship between the scoring qualification rate and the following three variables: conveyor speed (12 mm/s), laser power (97 W), and defocusing distance (10 mm). The study revealed interactive effects among these parameters. After optimization and verification under ideal conditions, the device achieved a peak average qualification rate of 85.6%.

Keywords: Camellia oleifera; laser scoring; response surface methodology; parameter optimization (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2077-0472/15/9/987/pdf (application/pdf)
https://www.mdpi.com/2077-0472/15/9/987/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:15:y:2025:i:9:p:987-:d:1648331

Access Statistics for this article

Agriculture is currently edited by Ms. Leda Xuan

More articles in Agriculture from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().