56 research outputs found

    Experimental and Numerical Studies on a Centrifugal Pump with 2D-Curved Blades in Cavitating Condition

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    In the presented study a special test-pump with 2D curvature blade geometry in cavitating and non-cavitating conditions was investigated using different experimental techniques and a 3D numerical model of cavitating flows. Experimental and numerical results concerning pump characteristics and performance breakdown were compared at different flow conditions. Appearing types of cavitation and the spatial distribution of vapour structures within the runner were also analysed

    Elucidation of big data analytics in banking : a four-stage Delphi study

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    Purpose In today's networked business environment, a huge amount of data is being generated and processed in different industries, which banking is amongst the most important ones. The aim of this study is to understand and prioritize strategic applications, main drivers, and key challenges of implementing big data analytics in banks. Design/methodology/approach To take advantage of experts' viewpoints, the authors designed and implemented a four-round Delphi study. Totally, 25 eligible experts have contributed to this survey in collecting and analyzing the data. Findings The results revealed that the most important applications of big data in banks are “fraud detection” and “credit risk analysis.” The main drivers to start big data endeavors are “decision-making enhancement” and “new product/service development,” and finally the focal challenge threatening the efforts and expected outputs is “information silos and unintegrated data.” Originality/value In addition to stepping forward in the literature, the findings advance our understanding of the main managerial issues of big data in a dynamic business environment, by proposing effective further actions for both scholars and decision-makers

    A person‐centred view of citizen participation in civic crowdfunding platforms: A mixed‐methods study of civic backers

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    AbstractCrowdfunding platforms have emerged as a promising contemporary means for mobilising collective civic actions to address local or social issues, improve community cohesion and develop the public good. This empirical study taps into the understudied civic crowdfunding platforms (CCP) developed to facilitate such actions, proposing, supporting and funding public‐interest projects through crowdsourcing and microfinancing. Previous studies have shown that individuals' characteristics affect their level of civic engagement with social issues. Considering the diversity of contributor motivations, we aim to shed light on the dynamics of emergent subpopulations of citizens who participate in CCPs. To this end, we use a sequential mixed‐methods approach to integrate our fuzzy set Qualitative Comparative Analysis (fsQCA) findings with the results of an in‐depth qualitative study, to gain rich and robust inferences and meta‐inferences. In Study 1 (n = 316), we used fsQCA to explore five distinctive configural profiles that display the heterogeneity of civic backers' motivations, including civic champions, prosocial advocates, normative supporters, reward seekers and regret‐averse contributors. In Study 2, we corroborated and complemented our fsQCA inferences through an extreme‐case study and identified four boundary conditions. Taken together, our inferences and meta‐inferences address the heterogeneity of motivations for participating in CCPs, by understanding and theorising about diverse profiles of citizen backers. Finally, we offer practical implications for successful civic crowdfunding initiatives.</jats:p

    Design and prediction performance of Venturi injectors in drip irrigation

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    [EN] The design and prediction performance of four Venturi injector prototypes have been studied using Computational Fluid Dynamics (CFD) techniques. Results were compared with experimental tests carried out in the laboratory of the Universitat Politecnica de Valencia, Valencia, Spain. The analysed and selected geometries for each prototype were used to simulate the operation without nutrient injection (G1) and with nutrient injection (G2). In first case (G1), the results were presented in the form of pressure profile at the injector axe under different velocities and the pressure distribution in the whole geometry. Additionally, this paper analysed the evolution of pressures and head loss versus main water flow in the different prototypes. The relative error was estimated to compare CFD and experimental results. The second case (G2), the graphical representation for the relations between the nutrient aspiration flow and water main flow were obtained for numerical and experiment approaches. In conclusion, CFD techniques appear as a suitable tool for the analysis of the Venturi injector operation, but its validation with experimental data is recommended.[ES] En la Universitat Politècnica de València, Valencia, España, se ha estudiado el diseño y funcionamiento de cuatro prototipos del inyector Venturi con técnicas de Dinámica de Fluidos Computacional (CFD), comparándo las con ensayos en laboratorio. Para cada prototipo, las geometrías definidas y analizadas han permitido simular el funcionamiento sin (G1) y con inyección (G2) para quimigación. En el caso G1, se presentan los gráficos del perfil de presiones en el eje del inyector para diversas velocidades, así como la distribución del campo de presiones y de la evolución de las diferencias de presión y pérdidas de carga frente al caudal principal. Para comparar los resultados obtenidos con CFD frente al resultado experimental, se calculó el error relativo. En el caso G2, se obtuvo la representación gráfica del el caudal de inyección frente al caudal principal. Las técnicas CFD exigen un buen ajuste del modelo para dar un resultado aceptable. Son interesantes para comparar geometrías, analizar sus variantes, realizar prediseños y aproximar ordenes de magnitud, pero es recomendable su ensayo en laboratorio para validar los resultados.Manzano Juarez, J.; De Azevedo, BM.; Do Bomfim, GV.; Royuela, A.; Palau Estevan, CV.; Viana, TVDA. (2014). Diseño y predicción del funcionamiento de inyectores Venturi en riego localizado. Revista Brasileira de Engenharia Agrícola e Ambiental - Agriambi. 18(12):1209-1217. doi:10.1590/1807-1929/agriambi.v18n12p1209-1217S120912171812Baylar, A., Aydin, M., Unsal, M., & Ozkan, F. (2009). Numerical Modeling of Venturi Flows for Determining Air Injection Rates Using Fluent V6.2. Mathematical and Computational Applications, 14(2), 97-108. doi:10.3390/mca14020097CIPOLLA, E., Silva, F., FILHO, G., & BARROS, R. (2011). Avaliação da Distribuição de Velocidades em Uma Bomba Centrífuga Radial Utilizando Técnicas de CFD. Revista Brasileira de Recursos Hídricos, 16(3), 71-79. doi:10.21168/rbrh.v16n3.p71-79Davis, J. A., & Stewart, M. (2002). Predicting Globe Control Valve Performance—Part I: CFD Modeling. Journal of Fluids Engineering, 124(3), 772-777. doi:10.1115/1.1490108Coutier-Delgosha, O., Fortes-Patella, R., & Reboud, J. L. (2003). Evaluation of the Turbulence Model Influence on the Numerical Simulations of Unsteady Cavitation. Journal of Fluids Engineering, 125(1), 38-45. doi:10.1115/1.1524584Franklin, R. E., & Wallace, J. M. (1970). Absolute measurements of static-hole error using flush transducers. Journal of Fluid Mechanics, 42(1), 33-48. doi:10.1017/s0022112070001052Guo, B., Langrish, T. A. ., & Fletcher, D. F. (2002). CFD simulation of precession in sudden pipe expansion flows with low inlet swirl. Applied Mathematical Modelling, 26(1), 1-15. doi:10.1016/s0307-904x(01)00041-5Hatano, S., Kang, D., Kagawa, S., Nohmi, M., & Yokota, K. (2014). Study of Cavitation Instabilities in Double-Suction Centrifugal Pump. International Journal of Fluid Machinery and Systems, 7(3), 94-100. doi:10.5293/ijfms.2014.7.3.094Lindau, J. W., Kunz, R. F., Boger, D. A., Stinebring, D. R., & Gibeling, H. J. (2002). High Reynolds Number, Unsteady, Multiphase CFD Modeling of Cavitating Flows. Journal of Fluids Engineering, 124(3), 607-616. doi:10.1115/1.1487360Norton, T., Sun, D.-W., Grant, J., Fallon, R., & Dodd, V. (2007). Applications of computational fluid dynamics (CFD) in the modelling and design of ventilation systems in the agricultural industry: A review. Bioresource Technology, 98(12), 2386-2414. doi:10.1016/j.biortech.2006.11.025Palau-Salvador, G., Gonzalez Altozano, P., & Arviza-Valverde, J. (2007). Numerical modeling of cavitating flows for simple geometries using FLUENT V6.1. Spanish Journal of Agricultural Research, 5(4), 460. doi:10.5424/sjar/2007054-269Palau-Salvador, G., González-Altozano, P., & Arviza-Valverde, J. (2007). Three-Dimensional Modeling and Geometrical Influence on the Hydraulic Performance of a Control Valve. Journal of Fluids Engineering, 130(1). doi:10.1115/1.2813131Reader-Harris, M. ., Brunton, W. ., Gibson, J. ., Hodges, D., & Nicholson, I. . (2001). Discharge coefficients of Venturi tubes with standard and non-standard convergent angles. Flow Measurement and Instrumentation, 12(2), 135-145. doi:10.1016/s0955-5986(01)00007-3Singhal, A. K., Athavale, M. M., Li, H., & Jiang, Y. (2002). Mathematical Basis and Validation of the Full Cavitation Model. Journal of Fluids Engineering, 124(3), 617-624. doi:10.1115/1.1486223Sun, Y., & Niu, W. (2012). Simulating the Effects of Structural Parameters on the Hydraulic Performances of Venturi Tube. Modelling and Simulation in Engineering, 2012, 1-7. doi:10.1155/2012/458368Teruel, B. J. (2010). Controle automatizado de casas de vegetação: variáveis climáticas e fertigação. Revista Brasileira de Engenharia Agrícola e Ambiental, 14(3), 237-245. doi:10.1590/s1415-43662010000300001Vortmann, C., Schnerr, G. H., & Seelecke, S. (2003). Thermodynamic modeling and simulation of cavitating nozzle flow. International Journal of Heat and Fluid Flow, 24(5), 774-783. doi:10.1016/s0142-727x(03)00003-1Wei, Q., Shi, Y., Dong, W., Lu, G., & Huang, S. (2006). Study on hydraulic performance of drip emitters by computational fluid dynamics. Agricultural Water Management, 84(1-2), 130-136. doi:10.1016/j.agwat.2006.01.016Xing, T., & Frankel, S. H. (2002). Effect of Cavitation on Vortex Dynamics in a Submerged Laminar Jet. AIAA Journal, 40(11), 2266-2276. doi:10.2514/2.1563Yeoh, G. H., Liu, C., Tu, J., & Timchenko, V. (2012). Computational Fluid Dynamics and Its Applications 2012. Modelling and Simulation in Engineering, 2012, 1-2. doi:10.1155/2012/61061

    Discovering IoT implications in business and management: A computational thematic analysis

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    IoT as a disruptive technology is contributing toward ground-breaking experiences in contemporary enterprises and in our daily life. Rapidly changing business environment and phenomenally evolving technology enhancement necessitate a robust understanding of IoT implications from business and management perspective. The current study benefits from an explanatory sequential mixed-method approach to represent and interpret the inductive topical framework of IoT literature in business and management with emphasis on business model. Bayesian statistical topic model called latent Dirichlet allocation is employed to conduct a comprehensive analysis of 347 related scholarly articles to reveal the topical composition of related research. Further, we followed a thematic analysis for interpreting the extracted topics and gaining in-depth qualitative insights. Theoretical implications with emphasizing on research agenda for future study avenues and managerial implications based on influential themes are provided

    Semantic structures of business analytics research : applying text mining methods

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    Introduction. Business analytics has grown exponentially over the last decade, combining technologies, systems, practices and applications. It has attracted both practitioners and academics based on its capabilities to analyse critical business data to gain new insights about business operations and the market. The research goal of this paper is to identify major research topics and trends using text mining techniques. Method. We applied text mining methods such as co-word analysis and topic modelling to 1,024 published research documents in the business analytics field found in the Web of Science and Scopus databases. Analysis. We used term co-occurrence maps and latent Dirichlet allocation to mine and visualise data. Results. Findings showed that the knowledge structure of business analytics consists of three main themes: analytical methods, business analytics in practice, and business analytics value creation. Big data analytics, machine learning, and data science techniques are major topics. Further, business analytics research topics were identified and clustered into four thematic groups. Conclusions. The findings present a context for business analytics research development. They show recent trends in the field, namely a predominant interest in big data analytics, social networks, business value, the health sector, and customer retention
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