Flow Measurement and Instrumentation最新文献

{"title":"ECT image reconstruction algorithm based on Res-SEUnet","authors":"Xiaozhao Li ,&nbsp;Jing Liu ,&nbsp;Yuanyuan Li ,&nbsp;Guoqiang Liu ,&nbsp;Jiacheng Wei ,&nbsp;Zhiguang Lyu","doi":"10.1016/j.flowmeasinst.2024.102688","DOIUrl":"10.1016/j.flowmeasinst.2024.102688","url":null,"abstract":"<div><div>A Res-SEUnet algorithm for ECT image reconstruction is proposed to address the problem of artifacts and blurring of media boundaries in ECT (capacitance tomography) reconstructed images of high-density and small-size media. A convolutional neural network is used to extract the detail features of the LBP image and recover the edge details of the ECT inverted image. Simulation experiments are performed on various complex multi-media datasets built in Comsol and Matlab. The results of the test set show that the Res-SEUnet based ECT reconstruction algorithm can by better reconstruction results on various complex multimedia datasets.<span><figure><span><img><ol><li><span><span>Download: <span>Download high-res image (140KB)</span></span></span></li><li><span><span>Download: <span>Download full-size image</span></span></span></li></ol></span></figure></span></div></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"100 ","pages":"Article 102688"},"PeriodicalIF":2.3,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142323241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design and analysis of pump chamber with kresling origami structure for ultra-clean flow pump","authors":"Huimin Shen ,&nbsp;Minghao Zhou ,&nbsp;Yaogang Chen ,&nbsp;Fei Xue ,&nbsp;Rui Su","doi":"10.1016/j.flowmeasinst.2024.102702","DOIUrl":"10.1016/j.flowmeasinst.2024.102702","url":null,"abstract":"<div><div>With the growing global need for semiconductor preparation, the demand on the performance of ultra-clean volumetric pumps is increasingly stringent, which is facing challenges of small displacement, high energy consumption, and low lifespan. In this paper, a kresling origami structure pump chamber (KOSC) is proposed, inheriting programmable and bistable characteristics of kresling structure to enhance the ultra-clean volumetric pump performance. The key programmable geometric design parameters for bistable state are identified by deriving the mathematical model. Simulation analysis is carried out based on the truss rod model in ABAQUS to get the relationship between the design parameters and bistability accordingly, whose accuracy is verified by origami model compression experiments. Then, comparisons between the proposed KOSC and traditional bellows with the same height and diameter, involving the mechanical properties of compression characteristics and energy efficiency, and fluid-solid coupling analysis, are performed in COMSOL Multiphysics. The compression results show that KOSC compresses 3 times than bellows under equal force, with 1.8 times the ultimate compression amount (18 mm), and only half the energy for equal compression amount. Compression experiments were conducted using bellows to demonstrate the reliability of the simulations. The fluid-solid coupling results show that the flow rate of KOSC is 3 times than that of bellows under equal force, and with 1.75 times displacement for equal velocity compression. Pumping experiments were conducted using bellows to demonstrate the reliability of the simulations. The above simulation and experimental results confirm that the KOSC enables high displacement, low energy consumption, and guarantees an extended lifespan.</div></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"100 ","pages":"Article 102702"},"PeriodicalIF":2.3,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142312791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design of bypass structure and dynamic motion simulation for ultra-large diameter pipeline inspection gauge","authors":"Xinna Shi ,&nbsp;Buyun Tang ,&nbsp;Minghao Chen ,&nbsp;Hang Zhang","doi":"10.1016/j.flowmeasinst.2024.102699","DOIUrl":"10.1016/j.flowmeasinst.2024.102699","url":null,"abstract":"<div><div>Aiming at the problem of controlling the operating velocity of a large-diameter heavy-duty pipeline inspection gauge (PIG), this paper designs the bypass structure to study the velocity change and flow field state when the Ø1219 mm PIG is operating in pipeline with different bypass rates. Fluent is applied to numerical simulation of the fluid-structure interaction flow field based on the dynamic mesh method. The results show that: the bypass rate of 2%–3% can satisfy the velocity of PIG in 3–5 m/s reasonable interval. The larger the bypass rate is, the larger the turbulence intensity is, and the gradual increase of the pressure difference suffered by the PIG. The operating velocity of the PIG can be regulated more accurately by corresponding to the bypass rate and the pressure difference front and rear. Comparing the experimental and simulation results, the error rate of the velocity decrease with bypass rate of 1%–3% is 12.8 %.</div></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"100 ","pages":"Article 102699"},"PeriodicalIF":2.3,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142312787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing discharge-head equation for radial-gated spillways based on physical modeling","authors":"Hossein Khalili Shayan ,&nbsp;Younes Aminpour ,&nbsp;Saman Nikmehr ,&nbsp;Javad Farhoudi","doi":"10.1016/j.flowmeasinst.2024.102692","DOIUrl":"10.1016/j.flowmeasinst.2024.102692","url":null,"abstract":"<div><p>Determination of the discharge through the spillways with radial gates is essential, depending on the application of these spillways in check dams and flood discharge systems in larger dams. On the other hand, physical modeling is often required due to the complexity and impact of various factors. This study investigated the efficiency of various methods in estimating the discharge through the spillways with radial gates using 958 experimental datasets from physical models of flood discharge systems in 17 large reservoir dams in Iran. In addition to dimensional analysis of the parameters, affecting the discharge of spillways with radial gates, new equations were proposed to determine the gate opening and the deviation angle of the gate. The mean absolute relative error in estimating the discharge at every flow condition showed a decreasing trend from about 9.1 % (for the previous methods) to about 3.9 % (the proposed equation in the present study). Later, the effects of different factors on the discharge through the spillways with the radial gate in large dams were evaluated. The results showed the errors of the previous methods in estimating the discharge for transient flow conditions, non-standard spillways, increase in the number of gates, and operation of only one gate with up to 22.2 %, 11.8 %, 21.5 %, and 10.5 %, respectively. However, under the abovementioned conditions, the mean absolute relative error of the proposed method error of discharge estimation, in the present study, decreased to about 4 %, 4.3 %, 3.3 %, and 3.5 %, respectively. Accordingly, using the new proposed equation involving the different factors to determine the discharge through the spillways with the radial gates in larger dams is recommended.</p></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"100 ","pages":"Article 102692"},"PeriodicalIF":2.3,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142238446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel hybrid ANN-GB-LR model for predicting oil and gas production rate","authors":"Riadh Al Dwood ,&nbsp;Qingbang Meng ,&nbsp;AL-Wesabi Ibrahim ,&nbsp;Wahib Ali Yahya ,&nbsp;Ahmed .G. Alareqi ,&nbsp;Ghmdan AL-Khulaidi","doi":"10.1016/j.flowmeasinst.2024.102690","DOIUrl":"10.1016/j.flowmeasinst.2024.102690","url":null,"abstract":"<div><p>The Oil and Gas Production Rate (OGPR) is one of the most significant processes that play an essential role in the oil industry. Predicting OGPR is critical for effective reservoir management and enhancing oil recovery. Traditional methods (TMs) and numerical simulations (NS) often struggle to process and analyze nonlinear, complex, and massive datasets. To avoid these challenges, artificial intelligence (AI) techniques and machine learning (ML) models have been proposed as an alternative solution due to their high efficiency and rapidity in handling complex data. In this study, a new hybrid model is developed by combining the strengths of Artificial Neural Networks (ANN) and Gradient Boosting (GB), using Linear Regression (LR) as a meta-model by stacking technique. It captures nonlinear relationships effectively and manages outliers, enhancing prediction accuracy. The novelty of this study lies in the hybrid ANN-GB-LR model's ability to integrate various machine learning techniques into a robust framework, leveraging the high learning capacity of ANN, the robust handling of outliers by GB, and the straightforward interpretability of LR. This creative combination handles the limitations of individual models and enhances the general predictive performance. The model was trained and tested using actual field data from the Halewah field in Yemen. Evaluation metrics, including Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and R-squared (R²), were utilized to evaluate and compare the hybrid model with other ML models: Random Forest (RF), XGBoost (XGB), LR, Light Gradient Boosting Machine (LGBM), GB, and K-nearest neighbors (KNN). The hybrid ANN-GB-LR model achieved superior results, with an R² of 0.998, an RMSE of 11.06 for oil flow rate predictions, and an R² of 0.98 and an RMSE of 172.15 for gas flow rate predictions. These results significantly surpass the other models, demonstrating the hybrid model's outstanding ability to capture complex data and provide accurate predictions. The ANN-GB-LR model surpasses Traditional Methods in predicting OGPRs. It shows a strong and reliable tool for optimizing reservoir management. This study establishes a new standard for predictive modeling in the oil industry, providing a framework for future research to apply hybrid models in handling complex datasets.</p></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"100 ","pages":"Article 102690"},"PeriodicalIF":2.3,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Computation of drag coefficient for real vegetation in wetlands","authors":"Mohammad Javad Rezaei,&nbsp;Reza Mohammadpour,&nbsp;Zahra Ghadampour","doi":"10.1016/j.flowmeasinst.2024.102691","DOIUrl":"10.1016/j.flowmeasinst.2024.102691","url":null,"abstract":"<div><p>The flow characteristics in wetlands and vegetated channels are depend on the physical structure, density, and pattern of vegetation. Estimating average velocity in vegetated wetlands requires an accurate determination of the drag coefficient. The innovation of this research lies in calculating the drag coefficient while considering the pattern shape, plant flexural rigidity, and vegetation structure. Laboratory experiments were conducted in a rectangular flume using a parallel pattern of Eleocharis plants at three densities: low, medium, and high, with discharge rates of 18.2, 23.7, and 28.8 L/s, respectively. Comparative analysis revealed that the equation proposed by Kothyari et al. (2009) [23] is just suitable for determining the drag coefficient on rigid cylinders with a staggered pattern and it should be improved for real vegetation with different pattern. A comprehensive equation was developed for real wetland vegetation, incorporating a new pattern coefficient for pattern shape (<em>ζpp</em>) and correction factor (<em>η</em>) to consider plant flexural rigidity and vegetation structure. The results demonstrate that this equation accurately predicts the drag coefficient (<em>RMSE</em> = 0.127, <em>MAE</em> = 0.107, and <em>R</em>^<em>2</em> = 0.9059) in channels with real vegetation with parallel and staggered patterns.</p></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"100 ","pages":"Article 102691"},"PeriodicalIF":2.3,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142162946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Numerical and sensitivity analysis of hydraulic characteristics of triangular labyrinth side weir","authors":"Guiying Shen ,&nbsp;Dingye Cao ,&nbsp;Shanshan Li ,&nbsp;Guodong Li","doi":"10.1016/j.flowmeasinst.2024.102686","DOIUrl":"10.1016/j.flowmeasinst.2024.102686","url":null,"abstract":"<div><p>Triangular labyrinth side weirs have significantly more discharge capacity than traditional nonlinear weirs, and the complex hydraulic parameter interaction mechanism has been the research focus. This study used Computational Fluid Dynamics (CFD) to analyze the side weir's flow characteristics. Then, the Bayesian optimization algorithm and Extreme Learning Machine (BELM) developed a prediction model for the side weir's discharge coefficient. Finally, Sobol's method performed a sensitivity analysis for hydraulic parameters. The results show that the main channel's streamline is evenly distributed and begins to shift when it is close to the side weir. The overflow front is increasing and secondary flow also increases. BELM's Mean Absolute Percentage Error and Root Mean Square Error are 8.793 % and 0.455 in the testing stage, respectively, declined by about 56.24 % and 32.29 % compared with ELM; Froude number <em>F</em>_<em>r</em>, weir crest angle <em>θ</em> and the ratio of overflow front length to weir head <em>l</em>/<em>h</em>₁ are the most critical hydraulic parameters affecting the discharge coefficient, the global sensitivity coefficients are 0.4393, 0.4218 and 0.4152, respectively.</p></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"100 ","pages":"Article 102686"},"PeriodicalIF":2.3,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142229824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of machine learning models in predicting discharge coefficient of side B-type piano key weir","authors":"Yaser Mehri ,&nbsp;Milad Mehri ,&nbsp;Mohsen Nasrabadi","doi":"10.1016/j.flowmeasinst.2024.102687","DOIUrl":"10.1016/j.flowmeasinst.2024.102687","url":null,"abstract":"<div><p>Side weir is a hydraulic structure within a channel which is usually used to discharge excess water, to divert the flow, and to regulate water surface levels in rivers and irrigation and drainage networks. In general, piano key weirs (PKW) have been used as weirs perpendicular to the flow direction in straight channels. However, the use of the PKW as a side weir in the outer arch of the channels is a new approach to enhance the weir's performance. In this study, 289 tests were first performed on the B-type rectangular side piano key weir (RSPKW) at two arc angles of 30 and 120°. Then, Fuzzy Inference System (FIS), Adaptive Neuro-Fuzzy Inference System (ANFIS), ANFIS and Teaching Learning Based Optimization (TLBO), ANFIS and Grasshopper Optimization Algorithm (GOA), Extreme Learning Machine (ELM) and Outlier Robust ELM (ORELM) models were used to predict the weir discharge coefficient. The results showed that two optimization models of TLBO and GOA increased the accuracy of the ANFIS model. The results showed that the ANFIS-GOA model has accuracy of Root Mean Squared Error (RMSE) = 0.0361, Coefficient of determination (R²) = 0.9772, and Kling Gupta coefficient (KGE) = 0.9858. The ANFIS-TLBO, ANFIS, and FIS models were ranked, respectively. Also, the results showed that ELM and ORELM models have accuracy close to ANFIS-GOA and can be a suitable alternative for complex fuzzy models. According to the statistical analysis, it was found that the parameters of the ratio of weir height to flow depth at the upstream edge of weir (P/h₁), arc angle (α), and the ratio of height of the foundation to the main channel width (p_d/B) had the greatest role in the development of the models, respectively.</p></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"100 ","pages":"Article 102687"},"PeriodicalIF":2.3,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142162945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The flow model of the overlap spool valve considering the transition between laminar and turbulent flow","authors":"Rui Guo ,&nbsp;Yaobao Yin ,&nbsp;Jing Li ,&nbsp;Jinlin Jiang ,&nbsp;Junyong Fu","doi":"10.1016/j.flowmeasinst.2024.102689","DOIUrl":"10.1016/j.flowmeasinst.2024.102689","url":null,"abstract":"<div><p>It remains uncertain whether the flow state at the spool valve is laminar or turbulent under small openings. The annular slit flow and the damping hole flow are proposed to be equated to model the spool valve flow. The mutual transition criterion between laminar and turbulent flows is developed. The results indicate that the flow turns from transitional flow to turbulence as the valve opening increases to 5.2 μm. The flow coefficient increases linearly in transitional flow and remains constant in turbulence. Laminar flow may occur when the annular gap's length exceeds 9.45 μm. The effect of structural parameters including overlap, radial clearance, wear fillet, and temperature on flow transition is discussed. Wear on the valve port counteracts the positive overlap. Flow gain continues to rise, pressure gain increases and then falls, reaching a maximum of 5 × 10¹² Pa/m. Valve performance exhibits a brief ramp-up time. The theoretical model and analysis aim to elucidate the flow characteristics and performance evolution of the spool valve.</p></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"100 ","pages":"Article 102689"},"PeriodicalIF":2.3,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142162947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Flow field torque analysis and valve plate optimization of butterfly anti-stick bleed valve","authors":"Jin Zhang ,&nbsp;Wenlong Yin ,&nbsp;Xu Wang ,&nbsp;Shuwei Zheng ,&nbsp;Lijiang Pan ,&nbsp;Fugang Zhai","doi":"10.1016/j.flowmeasinst.2024.102685","DOIUrl":"10.1016/j.flowmeasinst.2024.102685","url":null,"abstract":"<div><p>The main function of the bleed valve (BV) is to release part of the air from the axial compressor to prevent the aero-engine from stalling and surging. The stuck fault of the BV seriously affects the stable operation and safety of the aero-engine. An anti-stick BV design incorporating an eccentric valve plate is proposed to mitigate the issues of valve sticking caused by contamination particles and deformation. To address the issue of large flow field torque (FFT) during the operation of the anti-stick BV, computational fluid dynamics (CFD) methods were employed to investigate the FFT across various opening angles and flow channel structures. The results indicate that the FFT is primarily induced by the asymmetry of pressure distribution at the surfaces of the valve plate. The main strategies to reduce the FFT resulting from the valve plate structure include increasing the maximum closing angle β, reducing the valve thickness, and shifting the inlet surface closer to the shaft. The optimized valve plate structure reduces the maximum FFT of the BV by 60.7 %. Experimental testing of the optimized prototype demonstrates significantly improved opening and closing characteristics.</p></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"100 ","pages":"Article 102685"},"PeriodicalIF":2.3,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142149752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}