Generation of Arbitrary Pressure Pulsation of Wide Frequency Range for Flow Meter Testing in a Laminar Gas Pipeline

The present paper presents a device to test flow meters under an arbitrary pressure pulsation in a gas pipeline with a laminar flow containing frequency components up to 50 Hz, with the amplitude reaching hundreds of pascals. In order to reduce flow noise, the device has a strainer-like element connected to a pipeline under test and uses an open-loop control law based on the frequency response test. The control signal is calculated by adding the inputs to obtain each of the sinusoidal waves included in the original wave, which was decomposed by Fourier analysis. The validity of the developed method is demonstrated through the generation tests of superimposed pressure waves containing frequency components up to 50 Hz. Analysis of the relative uncertainty demonstrated the relative uncertainty to be less than 10% when the generated pressure is larger than 360 Pa.

Computer Aided Design of Differential Pressure Flow Meters

New methodology of designing the differential pressure flow meters for fluid energy carriers is developed in order to provide minimum uncertainty of results of flow rate measurement. This methodology is implemented in “Raskhod-RU” CAD system for computer aided design and calculation of differential pressure flow meters. “Raskhod-RU” CAD meets the requirements of new Standards implemented in CIS countries (GOST 8.586.1,2,3,4,5-2005) and provides accomplishment of the following tasks: verification of conditions (constraints) for application of the differential pressure method according to the requirements of new Standards;calculation of parameters of primary device, pipe straight lengths and flow meter in general according to the requirements of new Standards;calculation of uncertainty of results of fluid flow rate and volume measurement.

CFD-Aided Investigation of Combined Flow Conditioners for Gas Ultrasonic Flow Meter

Stable and fully developed gas flow field is crucial for realizing accurate measurement of gas ultrasonicflow meter. To reduce the flow field distortion, a flow conditioner is usually used. However, the traditionalmonotype flow conditioner can only improve the flow field distribution partly. The measurement accuracy of thetransit time ultrasonic flow meter is still affected because of its serious flow field distortion in the complex pipelineconditions. In this paper, to further improve the flow field distribution, a combined conditioner is investigated.The combined flow conditioner is composed of fan-shaped section, turbulent mixing cavity, and honeycomb-shapedsection. The effects of fan blade angle and cavity length on the flow field of the DN50 flow meter are studied usingcomputational fluid dynamics (CFD) simulation. Simulation results indicate that compared with the monotypeconditioner, the combined conditioner has better performance on effectively reducing the swirl and turbulence andproviding more stable and repetitive velocity profiles. Experiments also validate the effectiveness of the combinedconditioner. The flow meter with the combined conditioner has better repeatability of less than 0.2%, which isbetter than those of the monotype conditioners under the same conditions. This work is very useful for accuratemeasurement of gas ultrasonic flow meter, especially for the complex pipeline conditions.

Measurement of oil-water flow via the correlation of turbine flow meter, gamma ray densitometry and drift-flux model

The flow rate of the oil-water horizontal flow is measured by the combination of the turbine flow meter and the singlebeam gamma ray densitometry. The emphasis is placed on the effects of the pipe diameter, the oil viscosity and the slip velocity on the measurement accuracy. It is shown that the mixture flow rate measured by the turbine flow meter can meet the application requirement in the water continuous pattern（ o- w flow pattern）. In addition, by introducing the developed drift-flux model into the measurement system, the relative errors of measurements for component phase flow rates can be controlled within ±5%. Although more accurate methods for the flow rate measurement are available, the method suggested in this work is advantageous over other methods due to its simplicity for practical applications in the petroleum industry.

MEASUREMENT OF SOLID SLURRY FLOW VIA CORRELATION OF ELECTROMAGNETIC FLOW METER,ELECTRICAL RESISTANCE TOMOGRAPHY AND MECHANISTIC MODELLING

The study presented here was carried out to obtain the actual solids flow rate by the combination of electrical resistance tomography and electromagnetic flow meter. A new in-situ measurement method based on measurements of the Electromagnetic Flow Meters （EFM） and Electrical Resistance Tomography （ERT） to study the flow rates of individual phases in a vertical flow was proposed. The study was based on laboratory experiments that were carded out with a 50 mm vertical flow rig for a number of sand concentrations and different mixture velocities. A range of sand slurries with median particle size from 212 μm to 355 μm was tested. The solid concentration by volume covered was 5% and 15%, and the corresponding density of 5% was 1078 kg/m^3 and of 15% was 1238 kg/m^3. The flow velocity was between 1.5 m/s and 3.0 m/s. A total of 6 experimental tests were conducted. The equivalent liquid model was adopted to validate in-situ volumetric solids fraction and calculate the slip velocity. The results show that the ERT technique can be used in conjunction with an electromagnetic flow meter as a way of measurement of slurry flow rate in a vertical pipe flow. However it should be emphasized that the EFM results must be treated with reservation when the flow pattern at the EFM mounting position is a non-homogenous flow. The flow rate obtained by the EFM should be corrected considering the slip velocity and the flow pattern.

Prediction of oil flow rate through an orifice flow meter: Artificial intelligence alternatives compared

Fluid-flow measurements of petroleum can be performed using a variety of equipment such as orifice meters and wellhead chokes.It is useful to understand the relationship between flow rate through orifice meters(Qv)and the five fluid-flow influencing input variables:pressure(P),temperature(T),viscosity(μ),square root of differential pressure(ΔP^0.5),and oil specific gravity(SG).Here we evaluate these relationships using a range of machine-learning algorithms applied to orifice meter data from a pipeline flowing from the Cheshmeh Khosh Iranian oil field.Correlation coefficients indicate that(Qv)has weak to moderate positive correlations with T,P,andμ,a strong positive correlation with theΔP^0.5,and a weak negative correlation with oil specific gravity.In order to predict the flow rate with reliable accuracy,five machine-learning algorithms are applied to a dataset of 1037 data records(830 used for algorithm training;207 used for testing)with the full input variable values for the data set provided.The algorithms evaluated are:Adaptive Neuro Fuzzy Inference System(ANFIS),Least Squares Support Vector Machine(LSSVM),Radial Basis Function(RBF),Multilayer Perceptron(MLP),and Gene expression programming(GEP).The prediction performance analysis reveals that all of the applied methods provide predictions at acceptable levels of accuracy.The MLP algorithm achieves the most accurate predictions of orifice meter flow rates for the dataset studied.GEP and RBF also achieve high levels of accuracy.ANFIS and LSSVM perform less well,particularly in the lower flow rate range(i.e.,<40,000 stb/day).Some machine learning algorithms have the potential to overcome the limitations of idealized streamline analysis applying the Bernoulli equation when predicting flow rate across an orifice meter,particularly at low flow rates and in turbulent flow conditions.Further studies on additional datasets are required to confirm this.

Vacuum and Air Flow for 2QXP-1 Vacuum Precision Seed Metering

Vacuum precision seed metering is the key part of vacuum seed planter. Planting performance of planter is affected by vacuum and air flow which are important parameters for choosing fan. Effects of qualification percent and miss percent on air chamber vacuum 3, 4, 5 and 6 kPa were studied at different operating speeds. The results showed that operating performance of the seed metering was excellent when air chamber vacuum was 5 and 6 kPa, which air flow was 7.4-8.0 m3·s-1 and 8.0-8.8 m3·s-1 , respectively.

一种光纤布喇格光栅涡街流量传感器

在流量计量领域中,利用光纤传感技术对涡街流量计量的研究较少,故具有重要的研究意义。该文设计了一种悬臂梁式的光纤布喇格光栅涡街流量传感器,其利用悬臂梁自由端振动使光纤布喇格光栅中心波长发生周期性移位,从而测量涡街频率,得到流体流量信息。温度传感测试实验与流量传感测试实验结果表明,该传感器温度灵敏度为17 pm/℃,涡街流量灵敏度为0.01895 Hz/(L·h^(-1)),非线性误差为2.23%。实验验证了该传感器可应用于液体涡街流量计量。

压差式流量计误差自动化修正算法研究

针对在多干扰源扰动下压差式流量计测量结果面临输出不稳、误差较大的问题,提出多源扰动下的压差式流量计误差自动化修正算法。考虑全补偿气体可膨胀性系数、压缩系数、密度系数和流出系数等因素,研究压差式流量计误差自动化修正算法。利用均值滤波滤除信号中的高斯噪声,结合一阶滞后滤波优化卡尔曼滤波算法,修正多源扰动误差。引入自组织算法和Volterra神经网络进一步改进卡尔曼滤波算法,并优化卡尔曼滤波算法的先验模型参数,以实现多源扰动误差的自动化修正。试验结果表明,经该算法控制后:当参考流量为900 m^(3)/h时,示值误差绝对值为0.203%;当参考流量为700 m^(3)/h时,流量计重复性为0.06%。该研究可以有效识别并修正由于多源扰动造成的流量异常值,且流量测量精度较高。

液阻全桥网络负载口独立电液系统节能控制策略仿真

针对传统电液控制系统节流损失大、能耗高、效率低的问题,采用液阻全桥网络搭建了具有负载口独立控制特性的新型电液控制系统,详细研究了该系统在典型四象限负载下的节能控制策略。液阻全桥网络电液系统由5个二位二通比例阀组成,根据其具有的负载口独立控制特性,将系统归纳为传统三位四通、负载口独立和负载敏感3种控制模式。传统三位四通下,两负载口开度控制模拟三位四通进出口耦合形式;负载口独立模式下,采用一腔控制流量另一腔阀口全开的控制策略;负载敏感模式下,控制泵出口压力比进油腔压力高一个定值,从而实现负载敏感功能。在超越负载下,3种模式都使用流量再生回路进行节能控制。AMESim+Matlab联合仿真结果表明,与传统的三位四通模式相比,三位四通流量再生、负载口独立、负载口独立流量再生、负载敏感模式分别节能43.38%、65.27%、77.91%、83.58%。

环形间隙式层流元件设计及流量特性研究

为了解决传统层流流量计(LFM)线性度不佳、长径比较大、加工使用不便和结构易受流体影响等诸多问题,受双锥流量计的启发,提出了一种环形间隙式层流元件结构,介绍了测量原理和流道内非线性压力损失来源。保持该结构外套筒体和圆柱锥体同轴心,其流道截面为同心圆环,通过CFD仿真确定了锥形导流结构的合理锥形角度,确定了层流元件的尺寸参数。将取压孔设置在流道中充分发展的层流段,理论上消除了传统毛细管式LFM进出口处流动局部损失和层流发展段的动能损失。制作3种不同间隙大小的试件并进行试验,结果显示,当测量流量值小于53 mL/min时,层流元件的测量误差在3%以内;当测量流量值在(130~6189)mL/min时,测量误差在±2%以内;层流元件的压差和流量之间具有优秀的线性关系。说明环形间隙式层流元件结构可有效克服传统LFM的非线性影响,同时测量流量范围可随间隙大小变化而改变。

基于智能电表数据的低压配电网拓扑与线路参数联合辨识

在低压配电网中,用户频繁地扩建和改接导致台账存在信息更新滞后、数据缺失等问题,难以获取当前运行状态下的拓扑及线路参数。针对无相角量测信息且含未知数量零注入功率“隐节点”的低压配电网,提出一种基于智能电表数据的低压配电网拓扑与线路参数联合辨识方法。基于低压配电网的电气特性以及辐射状网络的结构特点,推导出一种功率-电压比形式的线性逆潮流模型。通过线性回归求解得到阻抗距离矩阵,再利用无判定阈值形式的改进分组递归算法实现拓扑与线路参数的联合辨识。最后,在IEEE欧洲低压测试馈线和中国南京市某地区的实际低压配电网中对所提算法进行数值仿真,验证了所提算法的有效性。

基于微型空间相机的红外加热笼仿真与设计

在航天器热控技术领域,常采用红外加热笼模拟各表面的到达外热流,但随着模拟表面特征尺寸的逐渐变小,需要重新评估该模拟方法的合理性和准确性。本文基于某微型空间相机,以对外热流最为敏感的散热面为研究对象,开展红外加热笼仿真分析与优化设计的研究。采用有限元法建立红外加热笼-黑片热流计的系统仿真模型,分析了传统红外加热笼控制方法对模拟表面总到达能量和热流密度均匀性的影响。基于上述结果,通过适当扩大加热笼尺寸和调整热流计粘贴位置,提高模拟表面的热流密度均匀性,保证总到达能量满足保守设计原则。对比分析得出,优化设计前后散热面热流密度的统计方差由102.0下降至27.0、均匀性提升效果显著。本文研究内容也可为其他空间微小表面外热流的准确模拟提供参考、借鉴。

基于物联网的流量仪表智能标定系统设计

针对流量仪表因采用手工或半自动方式标定所造成的费时、低效等问题,设计了基于物联网的流量仪表智能标定系统。在物联网边缘通过数字化感知、边缘计算、数据网关,实现数据采集和传输,满足了各种标定设备的数据互联互通。根据流量仪表标定过程的特殊性,在云端建立了基于规则的流量仪表标定专家系统。通过数据共享、数据可视化等数字化、智能化的系统设计,模拟人类标定专家的思维过程。运用知识进行推理,根据不同的流量仪表产品,及时给出满意的标定解决方案。该方案赋能流量仪表的智能标定过程,实现了标定生产过程的全自动化。该设计使标定周期由原来的120min缩短到40min,提升了流量计生产装备智能化程度,提高了生产效益。

呼吸机检测仪校准装置气体流量校准系统的设计

目前,我国尚未公开呼吸机检测仪的国家校准规范,导致呼吸机检测仪各参数的计量溯源难以展开。一些自编的校准方法在气体流量校准上存在流量校准点受柱塞大小影响的问题,进而限制了流量校准范围。为解决这一问题,本文提出了基于标准表法和柱塞法分别对静态流量和潮气量进行校准的方法,并集成了两套管路、设计了校准系统。介绍了呼吸机检测仪流量测量的基本原理,根据该原理提出了校准方法并实际搭建了装置,对装置进行了测试。测试结果表明本系统静态流量测量范围为5~200 SLPM,扩展不确定度Ur(Qv)=0.602%(k=2);潮气量测量范围为0~2000 mL,扩展不确定度Ur(V)=0.174%(k=2),相对误差满足技术指标。本系统可实现对呼吸机检测仪流量参数的校准。该校准系统的设计为呼吸机检测仪校准装置的研发奠定了基础,并为呼吸机检测仪校准规范的建立提供了一定的借鉴意义。

天然气流量次级标准装置计量性能核查技术

针对用于贸易交接流量计流量量值溯源的高精度流量标准装置计量性能实时核查技术不完善问题,开展了天然气流量次级标准装置计量影响因素、实时核查技术指标与方法研究,研究中采用了k-means聚类等大数据统计分析技术,创新提出天然气流量次级标准装置计量性能实时核查技术指标与核查方法。验证表明,采用组合涡轮工作标准表,组合实施一对一核查、多对一核查、多对多核查、总量核查,监控天然气发热量波动率、压力温度稳定系数、喷嘴间温差、喷嘴差压及涡轮工作标准表相对次级标准体积流量偏差及重复性共6项技术指标,能准确实时核查用于检定高准确度检流量计的次级标准装置的计量性能,实时监控流量计检定的过程质量、保证每台次流量计检定结果准确可靠。研究成果对于天然气流量标准装置质量控制具有一定的指导意义。

AutoFlow在定容控制通气模式中的应用

目的探讨AutoFlow(自动变流)在机械通气定容控制通气模式中对患者气道压力和血液动力学的影响。方法 71例接受机械通气的患者随机分为观察组(SIMV-PSV-PEEP+AutoFlow)和对照组(SIMV-PSV-PEEP),采集相关数据进行统计学分析比较。结果在SIMV-PSV方式基础上加用AutoFlow,能显著降低气道吸气峰压(PIP)和气道平均压(Pmean),气道阻力(R)有减小,差异有显著性;观察组和对照组患者的血流动力学监测结果差异无显著性。结论 SIMV定容控制通气模式联合AutoFlow既可以保证潮气量又避免气道压过高,对血液动力学影响不大。

低含水油水两相流等效介电常数模型

电容法测油水两相流含水率在油田的地面油水计量及井中的产出剖面分层测试中都得到广泛应用。持水率(水相体积分数)的测量需要建立油水两相流持水率与传感器电容的关系,为此需要建立混相等效介电常数与持水率的理论模型或经验模型。由于油井采出的地层水以及地面实验室标定所用的自来水在低频和中频时均具有良好导电性,因此,单纯考虑介电性而不考虑导电性会对持水率测量的准确性产生显著影响。基于电介质极化的有效电场理论,在低含水且油水状态为精细泡状流条件下,将水视为良导体,建立了油水两相流等效介电常数模型。按此模型,油水两相流的等效介电常数只取决于持水率和油相介电常数,与水相介电常数以及水相电导率无关,初步实验验证了模型正确。该研究对于油为连续相时油水两相流的含水率传感器的设计和现场应用具有重要意义。