Design and Performance Testing of Seed Potato Cutting Machine with Posture Adjustment

In China, potatoes are predominantly cultivated using the tuber piece planting method. During the cutting process, it is essential to divide seed potatoes into tuber pieces based on the distribution of their bud eyes, ensuring that each tuber piece contains one to two bud eyes. These tuber pieces are subsequently sown into the soil. Currently, the preparation of potato tuber pieces relies heavily on manual labor, which presents challenges such as inefficiency and high operational costs. To address these issues, a seed potato cutting machine capable of posture adjustment, cutting, and spraying was designed. Three types of seed potato cutters were developed based on the distribution patterns of bud eyes. The movement mechanism of the posture adjustment process was analyzed, and a mathematical model was established. The key factors influencing the posture adjustment effectiveness were identified through discrete element simulation analysis. Using the qualified rate of potato cutting and the blind eye rate as evaluation metrics, a three-factor, three-level, orthogonal experimental design was implemented. The experimental factors included the rotational speed of the conical roller, the number of conical rollers, and the cutting angle. For the straight-shaped cutter, the optimal combination was determined as follows: a conical roller speed of 12 r/min, 44 conical rollers, and a cutting angle of 0°, yielding a qualified rate of 90.3% and a blind eye rate of 1.86%. For the Y-shaped cutter, the optimal parameters were 14 r/min, 44 conical rollers, and a 5° cutting angle, achieving a qualified rate of 87.9% and a blind eye rate of 2.86%. The cross-shaped cutter performed best at 14 r/min, 44 conical rollers, and a 0° cutting angle, with a qualified rate of 87.1% and a blind eye rate of 3.80%. All optimal configurations met agronomic requirements, demonstrating the efficacy of the designed machine and cutters.

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Publication Details

Journal
Agriculture
Published
2025-03-28
DOI
https://doi.org/10.3390/agriculture15070732
Citations
5
Primary Topic
Agricultural Engineering and Mechanization
Type
article
Field-Weighted Citation Impact
3.57

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article

Design and Performance Testing of Seed Potato Cutting Machine with Posture Adjustment

Xuan Zhao, Fei Liu, Jianguo Yan, Yingsi Wu et al.
5 citations
Agriculture
Agricultural Engineering and Mechanization
3.57
article

Design and Performance Testing of Seed Potato Cutting Machine with Posture Adjustment

Xuan Zhao, Fei Liu, Jianguo Yan, Yingsi Wu, Xiangming La
article en
5 citations

Abstract

In China, potatoes are predominantly cultivated using the tuber piece planting method. During the cutting process, it is essential to divide seed potatoes into tuber pieces based on the distribution of their bud eyes, ensuring that each tuber piece contains one to two bud eyes. These tuber pieces are subsequently sown into the soil. Currently, the preparation of potato tuber pieces relies heavily on manual labor, which presents challenges such as inefficiency and high operational costs. To address these issues, a seed potato cutting machine capable of posture adjustment, cutting, and spraying was designed. Three types of seed potato cutters were developed based on the distribution patterns of bud eyes. The movement mechanism of the posture adjustment process was analyzed, and a mathematical model was established. The key factors influencing the posture adjustment effectiveness were identified through discrete element simulation analysis. Using the qualified rate of potato cutting and the blind eye rate as evaluation metrics, a three-factor, three-level, orthogonal experimental design was implemented. The experimental factors included the rotational speed of the conical roller, the number of conical rollers, and the cutting angle. For the straight-shaped cutter, the optimal combination was determined as follows: a conical roller speed of 12 r/min, 44 conical rollers, and a cutting angle of 0°, yielding a qualified rate of 90.3% and a blind eye rate of 1.86%. For the Y-shaped cutter, the optimal parameters were 14 r/min, 44 conical rollers, and a 5° cutting angle, achieving a qualified rate of 87.9% and a blind eye rate of 2.86%. The cross-shaped cutter performed best at 14 r/min, 44 conical rollers, and a 0° cutting angle, with a qualified rate of 87.1% and a blind eye rate of 3.80%. All optimal configurations met agronomic requirements, demonstrating the efficacy of the designed machine and cutters.

AgricultureVol. 15(7)
Inner Mongolia Agricultural University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Inner Mongolia
Openalex Percentile: Top 8%
Agricultural Engineering and Mechanization
3.57
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