Design aspects of ejectors: Effects of suction chamber geometry

Yadav, Randheer L.; Patwardhan, Ashwin W.

doi:10.1016/j.ces.2008.04.012

Cited by 100 publications

(40 citation statements)

References 32 publications

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“…The foam generator studied in this paper is essentially a special jet pump which can safely and reliably mix several kinds of material. Based on the design theory of a jet pump, throat-nozzle distance, mixing throat length, and contraction angle are important structural parameters affecting the suction performance [31][32][33][34][35]. Thus, this paper chose these parameters as a measure of the performance of the foam generator.…”

Section: Resultsmentioning

confidence: 99%

Numerical Simulation of Air Entrainment Performance of a Foam Generator Used for Dust Control in Coal Mines

Wang

Tang

2019

Mathematical Problems in Engineering

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Mine dust is one of the most serious environmental hazards in the coal mining process. This paper introduces a numerical simulation of a novel foam generator used for dust control in coal mines. The amount of foam generated by this device significantly depends on the amount of air entrainment. Therefore, a computational fluid dynamics (CFD) method was used to study three influencing factors, namely, throat-nozzle distance, mixing throat length, and the contraction angle of the suction chamber. The predicted values by the CFD simulation proved to be in good agreement with the experimental data. The results revealed that the air entrainment reached its maximum when the ratio of throat-nozzle distance to mixing throat length was 2/3. The optimum values of the throat ratio (its length to diameter) and the contraction angle of the suction chamber were obtained at 20 and 5 ∘ , respectively. This research provides essential guidance in the geometric parameter design of the self-suction type foam generator, which has the advantage of negating the need for compressed-air pipelines and having high reliability, compared to traditional foam generators.

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Section: Resultsmentioning

confidence: 99%

Numerical Simulation of Air Entrainment Performance of a Foam Generator Used for Dust Control in Coal Mines

Wang

Tang

2019

Mathematical Problems in Engineering

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“…Yadav dan Patwardhan [2] mengemukakan bahwa geometri optimum diffuser adalah 40 hingga 100, dengan panjangnya 4 sampai 8 diameter throat. Neve [3] menyampaikan bahwa geometri optimum adalah 6,80, dengan rasio luas penampang sebesar 5,6.…”

Section: Pendahuluanunclassified

Effect of Cyclone Diffuser Swirl throughout 30 mm On Liquid Jet Gas Pump (Application on Frying Pineapple Chips)

Eswanto¹

2018

Preprint

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Pineapple is a plant that is widely available in Indonesia and fruit favored by the public. Some areas in North Sumatra as langkat, Binjai, Berastagi, Siborong-borong many supply pineapples to the city field, so if at the time of pineapple fruit season arrives, the city became a flood pineapple field and consequently if the fruit is not sold will be rotten. Seeing this need to utilize technology in order not rotten pineapple and wasted, therefore there is need to do an experiment to make a pineapple into chips with technology liguid jet gas pump (LJGP) which method a way with a vacuum system. From the problems necessary to study to get the best vacuum LJGP tool is one of them by adding a Cyclone vortex diffuser models. The purpose of this study is to obtain the best vacuum as well as the efficiency of LJGP that can be used in frying applications pineapple crisps vacuum method along the vortex diffuser 30 mm. The research method with experiments involving fluid water and air, by adding a Cyclone vortex Diffuser models in LJGP tool as long 30 mm. The observed data is the primary flow rate (primary flow / motive flow) is 0.32 L / s, up to 0.44 L / s and discharge secondary flow (secondary flow) ranged from 0.04 L / s to 0.2 L / s. As for the water to circulate fluid LJGP, used types of centrifugal pumps with a capacity of 340 L / min. From the research that has been done shows that the more points cyclone vortex diffuser, the secondary pressure will increase. The maximum secondary pressure in the cyclone vortex diffuser length 30 mm which is 150 215 kPa, with secondary pressure maximum of 12 GPM is present in 1,367 kPa. This condition is informed that the use of models in the vortex of Cyclone Diffuser LJGP tool is in need to improve the vacuum system for LJGP.

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“…Some key factors are reported including area ratio between mixing chamber throat and primary nozzle throat [10,11] and nozzle exit position [12,13] that is most relevant to performance. Other geometry parameters are studied via numerical simulations [14,10] and experiments, but no significant relationship is revealed yet.…”

Section: Ejector Working Principle and Variable Area Ratio Ejectormentioning

confidence: 99%

Artificial neural network modeling for variable area ratio ejector

Chen

Cai

2014

2014 9th IEEE Conference on Industrial Electronics and Applications

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In this article, machine learning method is applied to model ejectors. Three-layer feed-forward neural network with sigmoid active functions was employed to estimate the outlet pressure of ejector given states of primary and secondary inlets. Well prediction results were achieved within the boundary of training dataset in experiment on ejector based multi-evaporator refrigeration system. The number of hidden layer neurons is optimized by minimizing validation error. Moreover, this research lays the foundation of optimizing system parameters and building control strategies for ejector based refrigeration system based on the machine learning methods.

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Design aspects of ejectors: Effects of suction chamber geometry

Cited by 100 publications

References 32 publications

Numerical Simulation of Air Entrainment Performance of a Foam Generator Used for Dust Control in Coal Mines

Numerical Simulation of Air Entrainment Performance of a Foam Generator Used for Dust Control in Coal Mines

Effect of Cyclone Diffuser Swirl throughout 30 mm On Liquid Jet Gas Pump (Application on Frying Pineapple Chips)

Artificial neural network modeling for variable area ratio ejector

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