Article
Engineering, Chemical
Michael Betz, Marco Gleiss, Hermann Nirschl
Summary: This paper presents a study on the use of flow baffles inside a centrifugal air classifier using Computational Fluid Dynamics (CFD). The research shows that flow baffles are effective in optimizing flow behavior, reducing pressure loss, and lowering energy costs within the classifier. Additionally, flow baffles have an impact on the classification performance of the classifier.
Article
Engineering, Chemical
Michael Betz, Hermann Nirschl, Marco Gleiss
Summary: This paper presents the development of prediction models for pressure loss and classification efficiency in classifiers. The first model calculates pressure loss based on geometric and operational parameters, while the second model calculates classification efficiency using a simplified two-dimensional approach. These models allow for real-time and accurate optimization of classifiers.
Article
Engineering, Chemical
Zhanpeng Sun, Longlong Liang, Chunyu Liu, Yufeng Zhu, Linlin Zhang, Guang Yang
Summary: A new horizontal turbo air classifier with two inclined air inlets was investigated using CFD method and response surface methodology. The simulation results showed the flow field composition, gas velocity distribution, and ideal experimental conditions for efficient particle classification.
ADVANCED POWDER TECHNOLOGY
(2021)
Article
Engineering, Chemical
Long Huang, Jiale Yuan, Miao Pan, Jida Wu, Jinpeng Qiao, Haishen Jiang, Chenlong Duan
Summary: A new disturbance structure is designed to improve the performance of classification air cyclones in this study. Numerical simulations and experiments are conducted to analyze the flow field inside the disturbance structure. It is found that the perturbation structure significantly affects velocity and pressure distributions, gas and particle properties, and classification performance of the cyclonic air centrifugal classifier.
SEPARATION AND PURIFICATION TECHNOLOGY
(2023)
Article
Engineering, Chemical
Zhanpeng Sun, Chunyu Liu, Guang Yang, Long Chen
Summary: This study investigates the gas-solid simulation, performance evaluation, and classification mechanism of a horizontal classifier with three rotor cages. The study finds that this classifier has competitive advantages of larger process capacity and smaller cut size, and can achieve high-quality classification.
Article
Engineering, Chemical
Mohamed Abohelwa, Bernd Benker, Mehran Javadi, Annett Wollmann, Alfred P. Weber
Summary: This study validates the limitations of the deflector wheel classifier in the separation process through CFD simulations and experimental results. The imbalance in the balance conditions leads to an increase in the cut size and a reduction in the separation sharpness.
Article
Engineering, Chemical
Miao Pan, Weinan Wang, Chenlong Duan, Haishen Jiang, Yuemin Zhao, Jinpeng Qiao, Long Huang, Zhongxuan Wang, Yidong Shen, Wei Shi
Summary: This study proposes an elastic screen surface for improving the classification-dewatering effect of a vibrating classifier. The surface kinematics of the elastic screen and the random elastic deformation of the screen's apertures were found to play a positive role in classification-dewatering. By adjusting the exciting parameters and tailings concentration, optimal classification and dewatering efficiencies can be achieved.
Article
Engineering, Chemical
Zhanpeng Sun, Longlong Liang, Chunyu Liu, Guang Yang
Summary: The study found that the non-uniform slotted vortex finder improves the performance of the centrifugal air classifier, enhancing particle selectivity and narrowing particle size distribution. Experimental and simulation results provide guidance for classifier design.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2021)
Article
Geochemistry & Geophysics
Michael Betz, Hermann Nirschl, Marco Gleiss
Summary: Centrifugal air classifiers are commonly used in various industries for particle classification. This paper presents a new solver based on the MP-PIC method, which allows for detailed investigation of flow processes and the fish-hook effect in the classifier. Experimental data validation shows that numerical simulations with particle-particle interaction consideration provide more accurate results.
Article
Engineering, Chemical
Fangchao Jia, Xinliang Mou, Ying Fang, Chuanwen Chen
Summary: This study introduced a new rotor-type dynamic classifier with air and material entering from the bottom to address the issues of inadequate pre-dispersion and high dust concentration in the grading zone of the turbo air classifier. By numerical simulation and on-site testing, the effects of rotor cage structure and diversion cone size on classification performance were analyzed, leading to the determination of the best rotor cage structures. The industrial classifier achieved a classification efficiency of 87% and a sharpness of separation of 0.58 under stable operating conditions, meeting industrial requirements for efficiency and energy consumption.
Article
Engineering, Chemical
Qiang Li, Xinliang Mou, Ying Fang
Summary: This study investigates the impact of guide cones in a new dynamic air classifier through simulation and experiments, finding that proper guide cone dimensions can improve airflow distribution and classification performance. It is shown that the height and diameter of guide cones significantly affect the performance of the air classifier, with improper design leading to a decline in classification efficiency.
Article
Thermodynamics
Wei-Ming Chiang, Fu-Jen Wang, K. Kusnandar
Summary: This study evaluates the application of auxiliary circulation fans and air bafflers in industrial control enclosures using CFD simulation to improve the performance of the cooling system and air-flow distribution. The layout design for supply air vents and return air vents is also investigated through field measurements. The results show that installing air bafflers can improve air-flow circulation and the use of auxiliary circulation fans is recommended.
Article
Food Science & Technology
Leandro D. Medus, Mohamed Saban, Jose V. Frances-Villora, Manuel Bataller-Mompean, Alfredo Rosado-Munoz
Summary: This study demonstrates the feasibility of online classification for real-time food packaging control using Convolutional Neural Networks and hyperspectral imaging systems. The system can detect various contamination products with high accuracy and discard faulty trays efficiently. The integration of the algorithm into automated manufacturing line control allows for high-speed operation and quality assurance.
Article
Engineering, Electrical & Electronic
Wei-tian Yang, Jie Yu, Dong-xin Li, Shu-qiu Hu, Xin Ding, Feng-yu Chen, Cui Qiao
Summary: Nowadays, there is a continuous search for a more complete solution in electrical energy storage technology, including fuel cells and metal-air batteries. Among various metal-air batteries, silicon-air batteries, known for their high specific energies, seem to be a promising solution. They stand out due to the abundance of silicon in the earth's crust, making them easier to acquire compared to pure silicon or doped silicon. Additionally, experiments have shown that industrial silicon can be directly used as the anode in silicon-air batteries, with its minor elemental impurities affecting their discharge performance. The performance of silicon-air batteries is evaluated based on their discharge behavior, actual specific energy, and specific capacity. Aqueous silicon-air batteries and their potential are also worth attention. Furthermore, silicon-air batteries using industrial silicon do not experience passivation on their anodic surfaces, allowing for continuous discharge without interruption.
JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS
(2023)
Article
Computer Science, Information Systems
Shuang Yu, Xiongfei Li, Yuncong Feng, Xiaoli Zhang, Shiping Chen
Summary: This paper proposes an instance-oriented classification performance metric called degree of credibility (Cr), focusing on the credibility of each instance's prediction, which opens up a new way for classifier evaluation. Additionally, the concept of acceptable classifiers is introduced to judge the model's performance objectively. Experimental results show that Cr has good statistical consistency and physical significance.
INFORMATION SCIENCES
(2021)
Article
Engineering, Chemical
Andrea Coletto, Pietro Poesio
Summary: Experiments and simulations were conducted to study the air volume fraction and hold-up in a bubble channel reactor. A new signal processing method was proposed to avoid the loss of bubble residence time. The results were in agreement with previous studies and a bubble-scale model was developed to explain the relationship between hold-up and air superficial velocity.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2024)
