Orthogonal optimization for effective classification of different tea leaves by a novel pressure stabilized inclined chamber classifier

Abstract

In the field of tea separation and processing, modern high‐tech can realize the nondestructive separation of tea and improve the quality of tea. In this study, a novel pressure‐stabilizing inclined chamber classifier was proposed, which was used to adjust the particle size distribution of tea at the entrance of the classifier. A suitable cavity can control the change of wind speed so that tea leaves are not easy to bend and deform, and the success rate of grading is improved. Second, three parameters that affect the success rate of tea classification are put forward: suction wind speed V, suction distance H, and suction distance L. When the parameters are V = 6 m/s, H = 40 mm, and L = 20 mm, the best response value is obtained, thus the most suitable entrance shape is obtained. Finally, the internal flow field of the classifier is analyzed, and different sizes of tea leaves are classified according to the change of air pressure flowing through the closed structure cavity. With the distribution of air velocity, tea leaves fall into collectors with different widths. Therefore, the flow field simulation test shows that the classifier can classify high‐quality tea according to the airflow. The model lays a foundation for further study of the fluid–solid coupling process and interaction between particles. Practical Applications In this study, a novel pressure‐stabilized inclined chamber classifier was designed, and three parameters that affect the success rate of tea classification were put forward. The process conditions were optimized by orthogonal tests, and the number of experiments was reduced. This method can be used to evaluate the influence of various technological parameters on tea classification. In order to improve the classification success rate, it is necessary to statistically discuss the results of the orthogonal test and flow field analysis.

A grader for fresh jujube with electromagnetic synchronous actuator assembly

“…It is also helpful for the prevention of pests and mechanical damage. Typical studies include Cao et al (2023), who developed a suction ball fruit grader that achieves grading by pneumatic movement according to the size and quality of the fruit, but it may cause different degrees of damage to the skin of the fruits. Kumari et al (2022) developed an intelligent automated grading system for mango, which can classify fruits into precise grades, but the grading process is long and is not suitable for industrial production.…”