Flow and Noise Characteristics of Centrifugal Fan in Low Pressure Environment

Zhang, Xilong; Zhang, Yongliang; Lu, Chan

doi:10.3390/pr8080985

Cited by 14 publications

(7 citation statements)

References 20 publications

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“…Centrifugal fans [ 63 ] rely on the input of mechanical energy to increase gas pressure and discharge gas machinery, and they are a driven fluid machinery [ 64 ]. Nevertheless, the actual operation often deviates from the design conditions, resulting in a decline in operating efficiency, seriously affecting energy efficiency.…”

Section: Methodsmentioning

confidence: 99%

Application of Digital Twins and Metaverse in the Field of Fluid Machinery Pumps and Fans: A Review

Yang

et al. 2022

Sensors

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Digital twins technology (DTT) is an application framework with breakthrough rules. With the deep integration of the virtual information world and physical space, it becomes the basis for realizing intelligent machining production lines, which is of great significance to intelligent processing in industrial manufacturing. This review aims to study the application of DTT and the Metaverse in fluid machinery in the past 5 years by summarizing the application status of pumps and fans in fluid machinery from the perspective of DTT and the Metaverse through the collection, classification, and summary of relevant literature in the past 5 years. The research found that in addition to relatively mature applications in intelligent manufacturing, DTT and Metaverse technologies play a critical role in the development of new pump products and technologies and are widely used in numerical simulation and fault detection in fluid machinery for various pumps and other fields. Among fan-type fluid machinery, twin fans can comprehensively use technologies, such as perception, calculation, modeling, and deep learning, to provide efficient smart solutions for fan operation detection, power generation visualization, production monitoring, and operation monitoring. Still, there are some limitations. For example, real-time and accuracy cannot fully meet the requirements in the mechanical environment with high-precision requirements. However, there are also some solutions that have achieved good results. For instance, it is possible to achieve significant noise reduction and better aerodynamic performance of the axial fan by improving the sawtooth parameters of the fan and rearranging the sawtooth area. However, there are few application cases of the Metaverse in fluid machinery. The cases are limited to operating real equipment from a virtual environment and require the combination of virtual reality and DTT. The application effect still needs further verification.

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Section: Methodsmentioning

confidence: 99%

Application of Digital Twins and Metaverse in the Field of Fluid Machinery Pumps and Fans: A Review

Yang

et al. 2022

Sensors

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“…Untuk meningkatkan kinerja fan, banyak penelitian telah dilakukan. Misalnya, fan blade bending sweep technology dan blade twisting technology adalah teknik yang paling umum digunakan [6]. N. Madhwesh pada penelitiannya mengatakan adaptasi geometris seperti pemangkasan impeller, side clearance, splitters, dan blade cutback telah dipelajari secara ekstensif oleh penulis dan itu diamati bahwa tindakan seperti itu umumnya mengarah pada perbaikan dalam kinerja centrifugal fan karena ditambah kenaikan tekanan statis pada fan [7].…”

Section: Pendahuluanunclassified

Studi Numerik Centrifugal Fan Tipe Impeller Backward dengan Variasi Putaran Fan

Diana

Setiyawan

Ulum

et al. 2021

JMEMME

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The primary air fan functions as a primary air producer which is used as air to transport coal powder from the pulverizer to the burner to be burned in the boiler furnace. This study aims to obtain the effect of the rotation variation of fan to fluid flow characteristics such as the distribution of total pressure, the dynamic pressure, the pressure static contours, velocity distribution, and the fan optimal efficiency. This study was numerical study with simulated a backward impeller type centrifugal fan in a two-dimension model using Fluid Computational software with the multiple reference frame method with the variation of fan rotation. Based on the visualization of the pressure contour and velocity distribution, it could be concluded that there was a volute phenomenon, this was indicated that the greater the volume area in the volute is the greater the total pressure value too. Based on the visualization of the outlet velocity distribution at the position of -0,8531m to -1,01301m, it was found that the velocity is close to the value of 0 m/s2. It showed that the minimum velocity in the area due to the volute tongue radius occurs a flow collision and it impacted the velocity in the area decreased up to V=0. From the simulation results, it was found that the greater the fan rotation value was the greater the efficiency value too. It would be verified by the actual operating data of the centrifugal fan with a minimum rotation range value of 1194 rpm to a maximum of 1468 rpm

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“…RANS method are known as comprehensive and cost effective tools rather than conducting costly experiments to analyze the performance of different types of fans and blowers. [3][4][5][6][7][8][9] Solving RANS equations for the vacuum cleaner model which leads to calculation of the fan characteristics such as shaft power, suction power, etc. enables us to determine the optimal geometrical parameters for the fan components in framework of the optimization process.…”

Section: Introductionmentioning

confidence: 99%

Optimization of a vacuum cleaner fan suction and shaft power using Kriging surrogate model and MIGA

Almasi

Ghorani

Haghighi

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part A:

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Optimization of vacuum cleaner fan components is a low-cost and time-saving solution to satisfy the increasing requirement for compact energy-efficient cleaners. In this study, surrogate-based optimization technique is used and for the first time it is focused on maximization of Airwatt parameter, which describes the fan suction power, as an objective function (Case II). Besides, the shaft power is minimized (Case I) as another optimization target in order to reduce the power consumption of the vacuum cleaner. 11 geometrical variables of 3 fan components including impeller, diffuser and return channel are selected as the optimization design variables. 80 training points are distributed in the sample space using Advanced Latin Hypercube Sampling (ALHS) technique and the outputs of sample points are calculated by means of CFD simulations. Kriging and RSA surrogate models have been fitted to the outputs of the sample space. Through coupling of constructed Kriging models and Multi-Island Genetic Algorithm (MIGA), the optimal design for each of the optimization cases is presented and evaluated using numerical simulations. A 20.22% reduction in shaft power in Case I and an improvement of 27.73% in Airwatt in Case II have been achieved as the overall results of this study. Despite achieving goals in both optimization cases, a slight decrease in Airwatt in Case I (−6.20%) and a slight increase in shaft power in Case II (+4.82%) are observed relative to primary fan. Furthermore, the Analysis of Variance (ANOVA) determines the importance level of design variables and their 2-way interactions on the objective functions. It was concluded that geometrical parameters related to all of the fan components must be considered simultaneously to conduct a comprehensive optimization. The reasons of enhancement in optimal cases compared with the reference design have been further investigated by analysis of the fan internal flow field. Post-processing of the CFD results demonstrates that the applied geometrical modifications cause a more uniform flow through the flow passages of the optimal fan components.

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Flow and Noise Characteristics of Centrifugal Fan in Low Pressure Environment

Cited by 14 publications

References 20 publications

Application of Digital Twins and Metaverse in the Field of Fluid Machinery Pumps and Fans: A Review

Application of Digital Twins and Metaverse in the Field of Fluid Machinery Pumps and Fans: A Review

Studi Numerik Centrifugal Fan Tipe Impeller Backward dengan Variasi Putaran Fan

Optimization of a vacuum cleaner fan suction and shaft power using Kriging surrogate model and MIGA

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