Investigation of internal-waverider-inlet flow pattern integrated with variable-geometry for TBCC

2016 ◽  
Vol 59 ◽  
pp. 69-77 ◽  
Author(s):  
Fengyuan Zuo ◽  
Guoping Huang ◽  
Chen Xia
Keyword(s):  
Flow Pattern ◽  
Variable Geometry ◽  
Inlet Flow

scholarly journals Infiltration and Anti-Filtration Recharge-Pumping Well and Laboratory Recharge Tests

Water ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 1834
Author(s):  
Yuxi Li ◽  
Wanglin Li ◽  
Jiapeng He ◽  
Xiaojiao Zhang ◽  
Xinyi Li
Keyword(s):  
Steady State ◽  
Flow Pattern ◽  
Theoretical Equation ◽  
Steady State Flow ◽  
Inlet Flow ◽  
State Flow ◽  
Unconfined Aquifers ◽  
Pumping Wells ◽  
Single Well

Infiltration and anti-filtration recharge-pumping wells (hereinafter, referred to as IAF recharge-pumping wells) can enable rain-flood flowing in rivers or channel recharge to aquifers, in flood periods, and pump groundwater to be utilized in non-flood periods. In this study, a round IAF recharge-pumping well and a square IAF recharge-pumping well were developed, the structure and characteristic were introduced, the calculation equations of single-well recharge quantity of IAF recharge-pumping wells, in unconfined aquifers were deduced, and the steady-state flow recharge test was conducted in the laboratory. The conclusions were as follows. The theoretical equation of the single-well recharge quantity was reasonable. Compared to existing anti-filtration recharge wells, the new IAF recharge-pumping well had stronger anti-deposit and anti-scour abilities and the single-well recharge quantity increased by 400%. Compared to the square IAF recharge-pumping well, the round IAF recharge-pumping well had a better inlet flow pattern and a larger single-well recharge quantity. With an increase in the test times, the single-well recharge quantity gradually decreased and tended to be stable. The existence of the pumping pipe had a little influence on the single-well recharge quantity.

Surrogate Models for Predicting the Performance of a Liquid-Liquid Cylindrical Cyclone Separator

2006 ◽  
Author(s):  
Jorge E. Pacheco ◽  
Miguel A. Reyes
Keyword(s):  
Flow Pattern ◽  
Mean Squared Error ◽  
Surrogate Models ◽  
Mechanistic Models ◽  
Water Mixture ◽  
Inlet Flow ◽  
Prediction Tools ◽  
Squared Error ◽  
Cylindrical Cyclone ◽  
Oil Water

Liquid-Liquid Cylindrical Cyclone (LLCC) separators are devices used in the petroleum industry to extract a portion of the water from the oil-water mixture obtained at the well. The oil-water mixture entering the separator is divided due to centrifugal and buoyancy forces in an upper (oil rich) exit and a bottom (water rich) exit. The advantages in size and cost compared with traditional vessel type static separators are significant. The use of LLCC separators has not been widespread due to the lack of proven performance prediction tools. Mechanistic models have been developed over the years as tools for predicting the behavior of these separators. These mechanistic models are highly dependent on the inlet flow pattern prediction. Thus, for each specific inlet flow pattern a sub-model has to be developed. The use of surrogate models will result in prediction tools that are accurate over a wider range of operational conditions. We propose in this study to use surrogate models based on a minimum-mean-squared-error method of spatial prediction known as Kriging. Kriging models have been used in different applications ranging from structural optimization, conceptual design, multidisciplinary design optimization to mechanical and biomedical engineering. These models have been developed for deterministic data. They are targeted for applications where the available information is limited due to the cost of the experiments or the time consumed in numerical simulations. We propose to use these models with a different framework so that they can manage information from replications. For the LLCC separator a two-stage surrogate model is built based on the Bayesian surrogate multistage approach, which allows for data to be incorporated as the model is improved. Cross validation mean squared error measurements are analyzed and the model obtained shows good predicting capabilities. These surrogate models are efficient and versatile predicting tools that do not require information about the physical phenomena that drives the separation process.

scholarly journals Variable Geometry Pipe Diffusers

1996 ◽  
Author(s):  
J. W. Salvage
Keyword(s):  
Flow Characteristics ◽  
Experimental Results ◽  
The Other ◽  
Variable Geometry ◽  
Inlet Flow ◽  
Design Performance ◽  
Flow Recirculation ◽  
Surge Margin ◽  
Theoretical Analyses

Theoretical analyses and experimental results are reported for two unique variable geometry techniques used with pipe diffusers to enhance off-design performance. One technique mechanically closes the diffuser throat in an unusual manner. The other allows flow recirculation to close the throat artificially while attempting to improve diffuser inlet flow characteristics. Results clearly show that surge margin may be significantly improved by either method and that flow recirculation may offer improved efficiency.

A hybrid of fast K-nearest neighbor and improved directed acyclic graph support vector machine for large-scale supersonic inlet flow pattern recognition

2021 ◽  
pp. 095441002110086
Author(s):  
Huan Wu ◽  
Yong-Ping Zhao ◽  
Tan Hui-Jun
Keyword(s):  
Pattern Recognition ◽  
Flow Pattern ◽  
Directed Acyclic Graph ◽  
Large Scale ◽  
Computational Cost ◽  
Classification Error ◽  
Support Vector ◽  
Training Set ◽  
Inlet Flow ◽  
Supersonic Inlet

Inlet flow pattern recognition is one of the most crucial issues and also the foundation of protection control for supersonic air-breathing propulsion systems. This article proposes a hybrid algorithm of fast K-nearest neighbors (F-KNN) and improved directed acyclic graph support vector machine (I-DAGSVM) to solve this issue based on a large amount of experimental data. The basic idea behind the proposed algorithm is combining F-KNN and I-DAGSVM together to reduce the classification error and computational cost when dealing with big data. The proposed algorithm first finds a small set of nearest samples from the training set quickly by F-KNN and then trains a local I-DAGSVM classifier based on these nearest samples. Compared with standard KNN which needs to compare each test sample with the entire training set, F-KNN uses an efficient index-based strategy to quickly find nearest samples, but there also exists misclassification when the number of nearest samples belonging to different classes is the same. To cope with this, I-DAGSVM is adopted, and its tree structure is improved by a measure of class separability to overcome the sequential randomization in classifier generation and to reduce the classification error. In addition, the proposed algorithm compensates for the expensive computational cost of I-DAGSVM because it only needs to train a local classifier based on a small number of samples found by F-KNN instead of all training samples. With all these strategies, the proposed algorithm combines the advantages of both F-KNN and I-DAGSVM and can be applied to the issue of large-scale supersonic inlet flow pattern recognition. The experimental results demonstrate the effectiveness of the proposed algorithm in terms of classification accuracy and test time.

scholarly journals Establishment of super sonic inlet flow pattern monitoring system: A workflow

2021 ◽  
pp. 107297
Author(s):  
Yi-Lin Wang ◽  
Zong-Chang Han ◽  
Yong-Ping Zhao ◽  
Huan Wu ◽  
Hui-Jun Tan ◽  
...  
Keyword(s):  
Flow Pattern ◽  
Monitoring System ◽  
Inlet Flow ◽  
System A

A Statistical Approach to Evaluating Single-Side Inlet vs Dual Inlet Temperature Distributions in Coke Drums

2017 ◽  
Author(s):  
Jorge Penso ◽  
Julian J. Bedoya ◽  
Alex Stoller ◽  
Richard S. Boswell
Keyword(s):  
Flow Pattern ◽  
Statistical Approach ◽  
Inlet Temperature ◽  
Inlet Flow ◽  
Statistical Comparison ◽  
Mechanical Integrity ◽  
Temperature Distributions ◽  
Single Side

Slide valves used to unhead coke drums have had a significant impact on the safety and efficiency of the unheading process in these vessels. Therefore, many refiners have changed to the inherently different inlet flow nozzle configurations that the slide valves have introduced. Single-side entry and dual-side entry have been common alternatives used as a result of the implementation of slide valves. Both of these configurations can depart from a centralized flow pattern and can create adverse flow and temperature distributions. Furthermore, these changes manifest themselves throughout the vessel with measureable mechanical integrity consequences in the cone, skirt, shell, and piping. This paper analyzes historic measured skin thermocouple data as a function of elevation of the coke drum. A total of three different refinery sites were included in this study; two of them having dual-side inlets, and one of them having a single-side entry. A statistical comparison was performed using the measurements focusing on the data that causes mechanical integrity problems in coke drums: temperature differences around the circumference and elevations, peak fill and peak quench rates.

Numerical and experimental investigation of turbocharger compressor low-end performance improvement using a variable geometry inlet orifice

2020 ◽  
pp. 146808742095109
Author(s):  
Ben Zhao ◽  
Qingjun Zhao ◽  
Wei Zhao ◽  
Xiaorong Xiang ◽  
Xiaoyong Zhou
Keyword(s):  
Variable Geometry ◽  
Peak Efficiency ◽  
Flow Area ◽  
Inlet Flow ◽  
Flow Rates ◽  
Area Reduction ◽  
Numerical Predictions ◽  
Percentage Points ◽  
Compressor Performance ◽  
Compressor Efficiency

Variable geometry orifice located upstream of a centrifugal impeller has been proposed to improve compressor low-end performance, by reducing compressor inlet flow area. The inlet flow area reduction is achieved by actuating the orifice flow area. The effects of the flow area reduction on compressor performance and the physical mechanisms controlling performance were investigated in the current work using numerical simulations and physical experiments. At the investigated compressor speed, with reduced inlet flow area, compressor efficiency at high flow rates is decreased by 2.01 percentage points based on the numerical predictions and by 6.47 percentage points based on the physical data. At low flow rate, however, compressor efficiency can be improved by 2.26 percentage points based on the numerical predictions and by 2.88 percentage points based on the physical data. Besides the efficiency, the inlet flow area reduction shifts the compressor stability limit toward the lower flow rate by 9.09% based on the numerical results and 41.13% based on the physical experiment and improves the compressor peak pressure ratio by 0.55% based on both the numerical and experimental data. At the flow rates lower than the peak efficiency point, it is beneficial to actuate the orifice to improve the compressor low-end performance. At flow rates higher than the peak efficiency point, it is necessary to deactivate the orifice to avoid the inlet flow area reduction that induces flow loss and degrades compressor performance.

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