Paper
5 June 2024 Optimization of conditioning performance parameters in ring die granulators
Author Affiliations +
Proceedings Volume 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024); 131630N (2024) https://doi.org/10.1117/12.3030266
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 2024, Xi'an, China
Abstract
The conditioner was one of the three major components of the ring die granulator, yet there had been a lack of analysis and optimization of the combined parameters of the conditioner. Taking the blade installation angle, the speed of the extruder shaft, and the filling rate as the test factors, and using the highest output of the conditioner and the lowest energy consumption as the optimization principle for the scheme, the study used the productivity of the conditioner and the torque of the extruder shaft as the reference index of the optimization scheme. A three-factor and five-level orthogonal factor experiment was designed. The results indicated that the filling rate had the most significant influence on the productivity and torque of the conditioner, followed by the conditioner shaft speed and the blade installation angle. The optimal parameter combination was found to be a blade installation angle of 48.8°, a conditioner shaft speed of 255 rpm, and a conditioner filling rate of 45%.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zhenghao Ge, Chuang Gao, Tedong Wang, Jingbo Su, Xiaoliang Zhang, Zhixiong Tang, and Jiacheng Liu "Optimization of conditioning performance parameters in ring die granulators", Proc. SPIE 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 131630N (5 June 2024); https://doi.org/10.1117/12.3030266
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KEYWORDS
Statistical analysis

Data modeling

Design

Particles

Computer simulations

Statistical modeling

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