Numerical Simulation of a Flow Field in a Turbo Air Classifier and Optimization of the Process Parameters

Due to the rapid development of powder technology around the world, powder materials are being widely used in various fields, including metallurgy, the chemical industry, and petroleum. The turbo air classifier, as a powder production equipment, is one of the most important mechanical facilities in the industry today. In order to investigate the production efficiency of ultrafine powder and improve the classification performance in a turbo air classifier, two process parameters were optimized by analyzing the influence of the rotor cage speed and air velocity on the flow field. Numerical simulations using the ANSYS-Fluent Software, as well as material classification experiments, were implemented to verify the optimal process parameters. The simulation results provide many optimal process parameters. Several sets of the optimal process parameters were selected, and the product particle size distribution was used as the inspection index to conduct a material grading experiment. The experimental results demonstrate that the process parameters of the turbo air classifier with better classification efficiency for the products of barite and iron-ore powder were an 1800 rpm rotor cage speed and 8 m/s air inlet velocity. This research study provides theoretical guidance and engineering application value for air classifiers.

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Flow Field Optimization and Strategy of Construction Cell Microspheres

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.482-484.2261 ◽

2012 ◽

Vol 482-484 ◽

pp. 2261-2264

Author(s):

Hong Li

Keyword(s):

Flow Field ◽

Process Parameters ◽

Field Analysis ◽

Optimal Process ◽

Fluent Software ◽

Flow Field Analysis ◽

Determine System

Objective: To optimize process parameters and determine system of culture and collection cells microspheres by Fluent software. Method: Hypothesises of boundaries were brought forward of preparation cell microspheres. Parameters, the mesh and relevant conditions of cells microspheres were determined.Result: Parameters of the optimal process were determined by the flow field analysis of cell microspheres. Moreover the strategy of culture and collection cell microspheres were completed.Conclusion: The results may be caused research a equipment of proliferation cell micropheres. This is probably a consequence of reduction bankroll of development equipment of culture and collection cell micropheres.

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Effect of the rotor cage chassis on inner flow field of a turbo air classifier

Materialwissenschaft und Werkstofftechnik ◽

10.1002/mawe.202000153 ◽

2021 ◽

Vol 52 (7) ◽

pp. 772-780

Author(s):

Y. Yu ◽

X. Kong ◽

C. Ren ◽

J. Liu ◽

J. Liu

Keyword(s):

Flow Field ◽

Air Classifier ◽

Rotor Cage

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Flow Field Characteristic Analyses of a Turbo Air Classifier’s Rotor Cage and its Structurally Improved Counterpart

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.58.59 ◽

2008 ◽

Vol 58 ◽

pp. 59-67 ◽

Cited By ~ 3

Author(s):

Qing Liang Yang ◽

Jia Xiang Liu ◽

Yun Bo Zhou

Keyword(s):

Flow Field ◽

Air Flow ◽

Flow Behaviour ◽

Laser Doppler Velocimeter ◽

Inlet Velocity ◽

Flow Field Simulation ◽

Field Simulation ◽

Air Classifier ◽

Rotor Cage ◽

Rotary Speed

The turbo air classifier is one of the most widely used equipment in powder classification. The complex flow behaviour inside it, however, prevents material experiments from providing information about its internal separation mechanisms. A study of the interaction of structural variables is therefore undertaken examining air flow behaviour, specifically the air flow between the blades of the rotor cage. The investigation of these flow field characteristics made use of the computational fluid dynamics (CFD) to simulate the air flow in the classifier. It was found that the inlet velocity of the turbo air classifier and the rotary speed of the rotor cage are two of the dominating, non-structural factors that affect velocity distributions in the region between the rotor cage blades. Once the inlet velocity settles, a critical rotary speed must be present to smoothen the flow field between the blades, resulting in an excellent classification performance. Three-dimensional velocity measurements of the region between the blades by laser Doppler velocimeter (LDV) were performed to test the results of the flow field simulation. This revealed that when inlet velocity is invariable, the velocity distributions in the region between the blades are at its most symmetric with the critical rotary speed of the rotor cage making it more favourable for classification. The velocity measurement results are likewise in good agreement with the results of the flow field simulation. Newly structured rotor cages are also simulated and compared with a conventional turbo air classifier, air flow in the newly structured model is smoother. The distributions of radial and tangential velocities are more symmetric and the trend of the rotating vortex between the blades attenuates, particularly when the rotary speed is high. The newly structured rotor cages can therefore achieve higher classification performances.

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Two-dimensional flow field distribution characteristics of flocking drainage pipes in tunnel

Open Physics ◽

10.1515/phys-2020-0013 ◽

2020 ◽

Vol 18 (1) ◽

pp. 139-148

Author(s):

Shiyang Liu ◽

Xuefu Zhang ◽

Feng Gao ◽

Liangwen Wei ◽

Qiang Liu ◽

...

Keyword(s):

Flow Field ◽

Field Distribution ◽

Rapid Development ◽

Maximum Velocity ◽

Distribution Characteristics ◽

Two Dimensional ◽

Dimensional Flow ◽

Laboratory Test Results ◽

Transverse Distance ◽

Two Dimensional Flow

AbstractWith the rapid development of traffic infrastructure in China, the problem of crystal plugging of tunnel drainage pipes becomes increasingly salient. In order to build a mechanism that is resilient to the crystal plugging of flocking drainage pipes, the present study used the numerical simulation to analyze the two-dimensional flow field distribution characteristics of flocking drainage pipes under different flocking spacings. Then, the results were compared with the laboratory test results. According to the results, the maximum velocity distribution in the flow field of flocking drainage pipes is closely related to the transverse distance h of the fluff, while the longitudinal distance h of the fluff causes little effect; when the transverse distance h of the fluff is less than 6.25D (D refers to the diameter of the fluff), the velocity between the adjacent transverse fluffs will be increased by more than 10%. Moreover, the velocity of the upstream and downstream fluffs will be decreased by 90% compared with that of the inlet; the crystal distribution can be more obvious in the place with larger velocity while it is less at the lower flow rate. The results can provide theoretical support for building a mechanism to deal with and remove the crystallization of flocking drainage pipes.

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Determination of Optimal Process Parameters for Plastic Injection Molding of Polymer Materials Using Multi-Objective Optimization

Journal of Materials Engineering and Performance ◽

10.1007/s11665-021-06029-z ◽

2021 ◽

Author(s):

Hasan Öktem ◽

Dinesh Shinde

Keyword(s):

Injection Molding ◽

Process Parameters ◽

Polymer Materials ◽

Plastic Injection Molding ◽

Multi Objective Optimization ◽

Optimal Process ◽

Multi Objective ◽

Plastic Injection

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Numerical Simulation and Engineering Application of Coalbed Water Injection

Mathematical Problems in Engineering ◽

10.1155/2019/6309160 ◽

2019 ◽

Vol 2019 ◽

pp. 1-12 ◽

Cited By ~ 5

Author(s):

Yijie Shi ◽

Pengfei Wang ◽

Ronghua Liu ◽

Xuanhao Tan ◽

Wen Zhang

Keyword(s):

Numerical Simulation ◽

Process Parameters ◽

Water Injection ◽

Engineering Application ◽

Working Environment ◽

Engineering Practice ◽

Characteristic Parameters ◽

Injection Process ◽

Working Face ◽

Dust Reduction

Coalbed water injection is the most basic and effective dust-proof technology in the coal mining face. To understand the influence of coalbed water injection process parameters and coalbed characteristic parameters on coal wetting radius, this paper uses Fluent computational fluid dynamics software to systematically study the seepage process of coalbed water injection under different process parameters and coalbed characteristic parameters, calculation results of which are applied to engineering practice. The results show that the numerical simulation can help to predict the wetness range of coalbed water injection, and the results can provide guidance for the onsite design of coalbed water injection process parameters. The effect of dust reduction applied to onsite coalbed water injection is significant, with the average dust reduction rates during coal cutting and support moving being 67.85% and 46.07%, respectively, which effectively reduces the dust concentration on the working face and improves the working environment.

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Top-down method for lab-scale production of nanocrystals of active molecules: Formulation approach and selection of optimal process parameters

2019 International Semiconductor Conference (CAS) ◽

10.1109/smicnd.2019.8923851 ◽

2019 ◽

Author(s):

Ines Nikolic ◽

Snezena Savic ◽

Danijela Randjelovic ◽

Dominique Jasmin Lunter

Keyword(s):

Process Parameters ◽

Scale Production ◽

Optimal Process ◽

Top Down ◽

Selection Of

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Mechanical properties optimization of the steering column based on multi-objective optimization design

Advances in Mechanical Engineering ◽

10.1177/1687814016682941 ◽

2016 ◽

Vol 8 (12) ◽

pp. 168781401668294 ◽

Cited By ~ 1

Author(s):

Si Chen ◽

Zhaohui Wang ◽

Mi Lv

Keyword(s):

Mechanical Properties ◽

Process Parameters ◽

Optimization Design ◽

Strain Difference ◽

Optimization Method ◽

Equivalent Strain ◽

Multi Objective Optimization ◽

Optimal Process ◽

Multi Objective ◽

Initial Results

The mechanical properties of the steering column have a significant influence on the comfort and stability of a vehicle. In order for the mechanical properties to be improved, the rotary swaging process of the steering column is studied in this article. The process parameters, including axial feed rate, hammerhead speed, and hammerhead radial reduction, are systematically analyzed and optimized based on a multi-objective optimization design. The response surface methodology and the genetic algorithm are employed for optimal process parameters to be obtained. The maximum damage value, the maximum forming load, and the equivalent strain difference obtained with the optimal process parameters are, respectively, decreased by 30.09%, 7.44%, and 57.29% compared to the initial results. The comparative results present that the quality of the steering column is improved. The torque experiments and fatigue experiments are conducted with the optimal steering column. The maximum torque is measured to be 260 NM, and the service life is measured to be 2 weeks (40 NM, 2500 times), which are, respectively, increased by 8.3% and 8.69% compared to the initial results. The above results display that the mechanical properties of the steering column are optimized to verify the feasibility of the multi-objective optimization method.

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Schadenserfassung auf Radsatzlaufflächen/Defect detection on wheelset treads – Measurement of Magnetic Barkhausen Noise to detect varying workpiece conditions

wt Werkstattstechnik online ◽

10.37544/1436-4980-2019-11-12-13 ◽

2019 ◽

Vol 109 (11-12) ◽

pp. 811-815

Author(s):

B. Denkena ◽

B. Bergmann ◽

H. Blech

Keyword(s):

Acoustic Emission ◽

Process Parameters ◽

Defect Detection ◽

Material Properties ◽

Barkhausen Noise ◽

Magnetic Barkhausen Noise ◽

Optimal Process ◽

Process Reliability

Unterschiedliche Belastungshistorien von Eisenbahnrädern führen zu Werkstoffveränderungen in der Lauffläche. Diese verursachen sporadisches Werkzeugversagen und verringern so die Prozesssicherheit. Die Messung der Material- und Prozesseigenschaften mit Barkhausenrauschen und Körperschall erlauben, individuelle Bearbeitungsparameter für jedes Exemplar festzulegen. Gezeigt werden die Herausforderungen in der Radsatzbearbeitung, und welche Informationen sich durch die Messtechniken gewinnen lassen.   Different load histories of train wheels lead to high variance of material properties on the running tread. Those cause unpredictable tool break and reduce process reliability. The measurement of magnetic Barkhausen noise and acoustic emission allow to gain information of the workpiece and the running process, to find optimal process parameters for the reconditioning of every individual wheel. Typical issues in train wheel machining and results of measurements are presented.

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