Optimization and Prediction of Operational Parameters for Enhanced Efficiency of a Chickpea Peeling Machine

Khaled Abdeen Mousa Ali, Sheng Tao Li, Changyou Li, Elwan Ali Darwish, Han Wang (), Taha Abdelfattah Mohammed Abdelwahab, Ahmed Elsayed Mahmoud Fodah and Youssef Fayez Elsaadawi
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Khaled Abdeen Mousa Ali: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Sheng Tao Li: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Changyou Li: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Elwan Ali Darwish: College of Agricultural Engineering, Al-Azhar University, Cairo 11651, Egypt
Han Wang: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Taha Abdelfattah Mohammed Abdelwahab: College of Agricultural Engineering, Al-Azhar University, Cairo 11651, Egypt
Ahmed Elsayed Mahmoud Fodah: College of Agricultural Engineering, Al-Azhar University, Cairo 11651, Egypt
Youssef Fayez Elsaadawi: College of Agricultural Engineering, Al-Azhar University, Assiut 28784, Egypt

Agriculture, 2024, vol. 14, issue 5, 1-15

Abstract: Chickpeas hold significant nutritional and cultural importance, being a rich source of protein, fiber, and essential vitamins and minerals. They are a staple ingredient in various cuisines worldwide. Peeling chickpeas is considered a crucial pre-consumption operation due to the undesirability of peels for some uses. This study aimed to design, test, and evaluate a small chickpea seed peeling machine. The peeling prototype was designed in accordance with the chickpeas’ measured properties; the seeds’ moisture content was determined to be 6.96% (d.b.). The prototype was examined under four different levels of drum revolving speeds (100, 200, 300, and 400 rpm), and three different numbers of brush peeling rows. The prototype was tested with rotors of four, eight, and twelve rows of brushes. The evaluation of the chickpea peeling machine encompassed several parameters, including the machine’s throughput (kg/h), energy consumption (kW), broken seeds percentage (%), unpeeled seeds percentage (%), and peeling efficiency (%). The obtained results revealed that the peeling machine throughput (kg/h) exhibited an upward trend with increases in the rotation speed of the peeling drum. Meanwhile, the throughput decreased as the number of peeling brushes installed on the roller increased. The highest recorded productivity of 71.29 kg/h was achieved under the operational condition of 400 rpm and four peeling brush rows. At the same time, the peeling efficiency increased with the increase in both of peeling drum rotational speed and number of peeling brush rows. The highest peeling efficiency (97.2%) was recorded at the rotational speed of 400 rpm and twelve peeling brush rows. On the other hand, the lowest peeling efficiency (92.85%) was recorded at the lowest drum rotational speed (100 rpm) and number of peeling brush rows (4 rows). In the optimal operational condition, the machines achieved a throughput of 71.29 kg/h, resulting in a peeling cost of 0.001 USD per kilogram. This small-scale chickpea peeling machine is a suitable selection for small and medium producers.

Keywords: chickpeas seeds; peeling efficiency; prediction model (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: 2024
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