Jonathan Andres Graciano Uribe

@udg.edu

ENGINYERIA MECÀNICA I DE LA CONSTRUCCIÓ INDUSTRIAL
PERSONAL INVESTIGADOR EN FORMACIÓ

Jonathan Andres Graciano Uribe


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https://researchid.co/jonathangraciano
Magister en Gestión Energética Industrial (2019) e Ingeniero Mecatrónico (2015), ambas en el Instituto Tecnológico Metropolitano (ITM) de Medellín-Colombia. He trabajo como profesor en el Instituto Tecnològico Metropolitano (2016-2022), Institución Universitaria Pascual Bravo (2019-2020) y en la Universidad de Antioquia (2017).

Desde el año 2014, desempeñando actividades investigativas en el semillero de investigación SeCADD-PROM del ITM, el cual estudia y desarrolla actividades en el área de CAD-CAE-CAM. En el área de diseño asistido por computador (CAD) con formación y experiencia en ingeniería inversa por medio de escáner 3D, máquinas de medición por coordenadas (MMC), modelado con base a imágenes y paramétrico de superficies con diferentes software; en la línea de ingeniería asistida por computador (CAE) en las ramas de fluido-dinámica, estructural y simulación de conceptos mecatrónicos, usando software como ANSYS 19® y NX 12.0®; en manufactura asistida por computador (CAM) en pro

RESEARCH INTERESTS

Actualmente me desempeño como investigador en la Universidad de Girona (UdG) realizando estudios de doctorado en analisis teórico, numérico y experimentales de procesos de filtración por medios porozos. Las principales líneas de investigación son la simulación numérica de turbo maquinaria.
23

Scopus Publications

170

Scholar Citations

9

Scholar h-index

8

Scholar i10-index

Scopus Publications

  • Multiple regression modelling of bed expansion and backwashing pressure drop in pressurised porous media filters for microirrigation and comparison with semi-analytical models
    Jonathan Graciano-Uribe, Toni Pujol, Aniol Castells, Miquel Duran-Ros, Gerard Arbat, Francisco Ramírez de Cartagena, Jaume Puig-Bargués
    Irrigation Science, 2026
    Although the expansion of the fluidised bed is a key parameter for defining the optimal working condition of a pressurised porous media filter for microirrigation operating in backwashing mode, there are no ready to use tools available at the user level to calculate it. Complex machine learning models have previously been applied to predict the height of the expanded bed, but simpler methods are required to promote the practical use of bed expansion calculations. Therefore, the capabilities of simpler and easier to both implement and generalise multiple linear regression (MLR) models to forecast both the height of the fluidised bed and the backwashing filter pressure drop were investigated, with input variables being the porous medium type, the initial packed bed height, the underdrain design, and the superficial velocity. In addition, semi-analytical equations and a simplified computational fluid dynamics (CFD) model for calculating the expanded bed height as a function of porous medium properties were tested. The exponential model provided the best fit ( $$\\:{R}^{2}\\:$$ = 0.971) for the pressure drop, while the power model the best fit ( $$\\:{R}^{2}$$ = 0.954) for the bed expansion. A simple semi-analytical expression reproduced the observed trend, but less efficiently than the MLR models. In terms of energy consumption, the results highlighted the relevance of improving the underdrain design, as well as avoiding operation at the point of maximum hydrodynamic shear stress, despite being the optimum condition for particle removal. Bed expansion values of 30–40% represented a reasonable compromise between power consumption and shear stress level.
  • Hydraulic performance analysis of new versus commercial nozzle design for pressurised porous media filters
    Jonathan Graciano-Uribe, Toni Pujol, Miquel Duran-Ros, Gerard Arbat, Francisco Ramirez de Cartagena, Jaume Puig-Bargués
    Irrigation Science, 2025
    Rapid water filtration with pressurised porous media filters is extensively applied in drip irrigation systems. In double-chamber filters, the underdrains are fixed to the base of the inner plate to sustain the media above while draining water. Here, a new underdrain design intended to reduce the filter energy consumption is presented. The main difference with commercial underdrain units corresponds to the distribution of the slots, being in a horizontal plate to uniformise the flow trajectories inside the porous media. Both commercial and new underdrain designs have been tested in laboratory in both filtration and backwashing modes with three media types, two media heights, and superficial velocities ranging from 20 to 120 m h−1. In filtration mode, results indicate that the new design reduces the filter pressure drop by 31% at 60 m h−1 in comparison with the commercial one. The exploration with an analytical model that correctly reproduces the filter pressure drop, reveals that its value at 60 m h−1 is only 15% higher than the ideal scenario (uniform flow throughout the porous media bed). In backwashing mode, the pressure drop in comparison with the commercial design is reduced by 65% at 80 m h−1, while having the same trend for the bed expansion, which is also predicted by a simple analytical expression. Thus, the new underdrain design produces a more homogeneous fluidised regime than the commercial one at low-moderate superficial velocities.
  • Optimised random forest for predicting bed expansion and pressure drop in media filter backwashing
    P.J. García–Nieto, E. García–Gonzalo, J. Graciano–Uribe, G. Arbat, M. Duran–Ros, T. Pujol, J. Puig–Bargués
    Biosystems Engineering, 2025
    In drip irrigation systems, media filters are frequently used to avoid emitter clogging, but periodic backwashing is required to restore media filtration capacity. Backwashing reverses the flow, fluidises the media, and expels trapped particles, being bed expansion (BE) and pressure drop (PD) the key parameters for assessing backwashing hydraulic performance. Available equations and models, however, often fail to reliably predict these parameters under diverse operational conditions. This study introduces a machine learning-based model utilising Random Forest Regression (RFR) and the Whale Optimisation Algorithm (WOA) to predict both BE and PD from a dataset of 705 backwashing runs carried out in the laboratory. For comparison, Lasso, Elastic-net, and Ridge regression models were also implemented with the WOA optimiser. The RFR model was tuned to enhance accuracy by identifying key operational inputs: filter medium type (three categories: silica sand 0.75–0.85 mm, microspheres 0.63–0.75 mm, and silica sand 0.63–0.75 mm), underdrain type (four categories), filter bed height (200 or 300 mm), and superficial velocity. Results showed the WOA/RFR model not only ranked input variable importance but also achieved superior predictive accuracy, with coefficients of determination of 0.9771 and 0.9957 for BE and PD, respectively. The WOA/RFR model consistently outperformed Lasso, Elastic-net, and Ridge models, but demonstrated robust alignment with experimental data. This study presents a novel and optimised approach for predicting bed expansion and pressure drop, enhancing the reliability of media filter backwashing performance assessments in irrigation systems. • Predictive models of bed expansion and pressure drop for backwashing were built. • The relative importance of the input operation variables was determined. • WOA/RFR results for bed expansion and pressure drop were compared to measured ones.
  • Prediction of the bed expansion and pressure drop in microirrigation media filter backwashing using artificial neural networks and comparison with other machine learning techniques
    Paulino José García-Nieto, Esperanza García-Gonzalo, Jonathan Graciano-Uribe, Gerard Arbat, Miquel Duran-Ros, Toni Pujol, Jaume Puig-Bargués
    Smart Agricultural Technology, 2025
    • Bed expansion and pressure drop are key parameters for assessing media filter backwashing. • A machine learning model that use artificial neural network was developed. • The predictions of this model showed good agreement with experimental data. • The model also outperforming the Lasso, Elastic-net, and Ridge models. The filtration capacity of media filters, which are widely used in drip irrigation systems to prevent emitter clogging, must be periodically restored by backwashing, which fluidizes the media bed and removes those trapped particles. Bed expansion (BE) and pressure drop (PD) are the key parameters for assessing the hydraulic performance of backwashing, but the available equations and models frequently fall short of their prediction. An experiment with three medium types, four filter underdrain designs, two bed heights and different backwashing superficial velocities as input variables was conducted to measure both BE and PD. A dataset of 705 backwashing runs was obtained and with 80 % of data for training and 20 % for testing, a machine learning-based model that uses Artificial Neural Networks (ANN) to predict both BE and PD was developed and compared with the Ridge, Elastic-net, and Lasso regression models. With coefficients of determination of 0.9932 and 0.9988 for BE and PD, respectively, the results demonstrated that the ANN model not only ranked the importance of the input variables and showed strong agreement with experimental data but also attained superior predictive accuracy regarding the Lasso, Elastic-net, and Ridge models. This study presents a novel and optimized approach for predicting bed expansion and pressure drop, enhancing the reliability of media filter backwashing performance assessments in smart irrigation systems.
  • Impact of Filtration Cycle Patterns on Both Water and Energy Footprints in Drip Irrigation Systems
    Toni Pujol, Aniol Castells, Miquel Duran-Ros, Jonathan Graciano-Uribe, Gerard Arbat, Jaume Puig-Bargués
    Water Switzerland, 2025
    Drip irrigation is a widely spreading technology, mainly due to its high water-use efficiency. This technique requires a filtration process that exhibits cyclical behavior where both filtration and backwashing modes repeat. In filtration, pressure increases with time due to the particle retention up to a preset value. In backwashing, the flow is reversed to clean the filter. Different design strategies to reduce energy and water consumption have been proposed, but their practical effects are not yet clear. Here, a global analysis method based on the classification of the time evolution of the pressure curve in filtration mode was developed. Energy and water use efficiency indices were defined and evaluated under different scenarios. More design options can be undertaken to reduce the consumption of energy than of water. The decrease in the pressure drop for clean filter conditions arose as the best option to increase energy efficiency (in a realistic scenario, a reduction of 20% in the pressure drop with tap water resulted in a reduction of 7.6% in the energy consumption per volume of filtered water). Precise backwashing times and flow rates were essential to improve water use efficiency (e.g., doubling the backwashing time led to a 4.5% decrease in water use efficiency).
  • Effects of porous media type and nozzle design on the backwashing regime of pressurised porous media filters
    Jonathan Graciano-Uribe, Toni Pujol, Miquel Duran-Ros, Gerard Arbat, Francisco Ramírez de Cartagena, Jaume Puig-Bargués
    Biosystems Engineering, 2024
    Pressurised sand filters used in drip irrigation need periodic backwashing to flush the contaminant particles out of the porous media. This process consumes high amounts of energy and water. The selection of more efficient backwashing operational conditions requires accurate information of the pressure drop and the bed expansion, the latter being not measured in commercial filters. An experimental study with a scaled filter that used a window to observe the bed expansion was conducted with three porous media types (glass microspheres and two silica sands), two packed media bed heights (200 mm and 300 mm) and four nozzles (one commercial and three prototypes). The 24 combinations of the filter experimental configuration were investigated for different superficial velocities. Both data and video recordings for all the 705 tests conducted were carefully analysed to obtain mean values and standard deviations of the height of the expanded bed. The behaviour of the fluidised bed dynamics was characterised. Results indicated that the nozzle design had a strong influence on the pressure drop, and, in consequence, on the power required for backwashing. It also had an observable impact on the fluidised bed dynamics although its effect on determining the overall height of the expanded bed was limited, this being more dependent on the type of the porous media. The most effective combination in terms of energy efficiency and porosity of the expanded bed was obtained with microspheres, though its retention efficiency might be questionable from the literature review, and the frustoconical nozzle geometry. • Video and data recordings of 705 backwashing tests were analysed. • The nozzle design plays a main role on the total pressure drop. • The nozzle design influences the fluidised bed dynamics. • The height of the expanded bed is mostly dependent on the media type.
  • Efficiency of Backwashing in Removing Solids from Sand Media Filters for Drip Irrigation Systems
    Miquel Duran-Ros, Joan Pujol, Toni Pujol, Sílvia Cufí, Jonathan Graciano-Uribe, Gerard Arbat, Francisco Ramírez de Cartagena, Jaume Puig-Bargués
    Agriculture Switzerland, 2024
    Sand media filters are especially recommended to prevent emitter clogging with loaded irrigation waters, but their performances rely on backwashing. Despite backwashing being a basic procedure needed to restore the initial filtration capacity, there is a lack of information about the solid removal efficiency along the media bed depth. An experimental filter with a 200 mm silica sand bed height was used to assess the effect of two operation velocities (30/45 and 60/75 (filtration/backwashing) m h−1) and two clogging particles (inorganic sand dust and organic from a reclaimed effluent) on the efficiency of backwashing for removing the total suspended solids retained in different media bed slices. The average solid removal backwashing efficiency was greater with organic particles (78%) than with inorganic ones (64%), reaching its maximum at a 5–15 mm bed depth. A higher operation velocity increased the solid removal efficiency by 16%, using organic particles, but no significant differences were observed with inorganic particles. The removal efficiencies across the media bed were more uniform with organic particles (63–89%) than with inorganic (40–85%), which makes it not advisable to reduce the media height when reclaimed effluents are used. This study may contribute to future improvements in sand media filter design and management.
  • Influence of Leading and Trailing Edge Angle on Impeller Blades of a Pump as Turbine
    Diego Penagos-Vasquez, Jonathan Graciano-Uribe, Luis Grisales-Noreña, Sebastián Vélez García, Edward Andrés Torres-López
    Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 2023
    A pump as turbine (PAT) is a turbomachine that converts hydraulic energy into electricity. One of the study topics in PAT is the efficiency due to centrifugal pumps are not designed to operate in reverse mode. Geometric variations of the impeller have been studied in the literature. However, it was not possible to evidence the influence of the inclination of the blade leading and trailing edge. Therefore, the objective of this work is to analyze numerically and fluid dynamically the inclination angle of the blade leading and trailing edge of a centrifugal pump, in pump and turbine mode. First, the characteristic curve was validated. Then, the inclination of the leading and the trailing edge was modified, in a range of 25° to 90°, obtaining head, efficiency, and power graph. As a result, in pump mode was evidenced that an angle close to 90° on the blade trailing edge provides a higher efficiency of 50.26% and decreases until 40.77% when the angle approaches 30°, reducing the head to around 20%, while power remained constant. In turbine mode, an inverse effect was obtained, where the maximum efficiency was 60.9% and the generated power increased up to 4.76 kW in the blade leading edge. Therefore, the angular variation of the leading and the trailing edge is adequate in turbine mode, while in pump mode there is a loss of capacity.
  • Bed expansion at backwashing in pressurised porous media filters for drip irrigation: Numerical simulations and analytical equations
    Jonathan Graciano-Uribe, Toni Pujol, Diego Hincapie-Zuluaga, Jaume Puig-Bargués, Miquel Duran-Ros, Gerard Arbat, Francisco Ramírez de Cartagena
    Biosystems Engineering, 2022
    Actions for improving the energy efficiency of pressurised porous media filters used in drip micro-irrigation require methods to properly determine the behaviour of both filtration and backwashing modes. The latter is essentially a fluidisation process. Though many authors have analysed fluidised bed columns, very few studies have dealt with the backwashing of granular media filters used in agriculture. The purpose of the present work was 1) to validate a computational fluid dynamics (CFD) model to simulate the backwashing regime, and 2) to assess the extent of analytical expressions for determining the expanded bed height. Experimental data were obtained using a laboratory filter for two types of porous media at superficial velocities <150 m h−1. The CFD model used the Eulerian–Eulerian approach, and its sensitivity was investigated in a simplified two-dimensional domain. A modified three-dimensional model effectively reproduced the bed expansion for most of the experimental conditions using large time steps (0.025 s) and few internal iterations (20). Well-known analytical equations overestimated the expanded bed height at superficial velocities <150 m h−1, but the recent RIO 1 model proposed by Kramer et al. (2020) showed very good predictive capacities. Two analytical expressions based on basic principles were developed, providing a trend which was also close to observations and a lower bound for the expanded bed height value. These conclusions were confirmed by analysing external data obtained using commercial pressurised sand filters.
  • Author Correction: Microstructural Features of Dissimilar Thin Sheets Aging Aluminum Alloy – Low Carbon Steel Joined by Friction Stir Welding (Metallography, Microstructure, and Analysis, (2022), 11, 4, (617-633), 10.1007/s13632-022-00879-2)
    Edwar Andrés Torres López, Jonathan Andrés Graciano-Uribe, Igor Jordão Marques, Tiago Felipe de Abreu Santos
    Metallography Microstructure and Analysis, 2022
  • Microstructural Features of Dissimilar Thin Sheets Aging Aluminum Alloy – Low Carbon Steel Joined by Friction Stir Welding
    Edwar Andrés Torres López, Jonathan Andrés Graciano-Uribe, Igor Jordão Marques, Tiago Felipe de Abreu Santos
    Metallography Microstructure and Analysis, 2022
  • Characterization of a Commercial Axial Flow PAT Through a Structured Methodology Step-by-Step
    Diego Penagos-Vásquez, Jonathan Graciano-Uribe, Edward Torres
    Cfd Letters, 2022
  • Effect of the opening and location ratio on the performance of an H-Darrieus VAWT
    Andres Felipe Burbano-Hernández, Diego Andres Hincapié Zuluaga, Jonathan Andrés Graciano-Uribe, Edwar Andrés Torres Lopéz
    Revista Facultad De Ingenieria, 2022
  • Correction of Errors during the Manufacture by Computer Numerical Control (CNC) of Blades for an Axial Hydrokinetic Turbine
    J. Graciano-Uribe, , J. Arbeláez, D. Hincapie, E. Chica, E. Torres, , , , and
    International Journal of Integrated Engineering, 2022
  • Assessment of different pressure drop-flow rate equations in a pressurized porous media filter for irrigation systems
    Jonathan Graciano-Uribe, Toni Pujol, Jaume Puig-Bargués, Miquel Duran-Ros, Gerard Arbat, Francisco Ramírez de Cartagena
    Water Switzerland, 2021
  • Numerical Simulation of a Propeller-Type Turbine for In-Pipe Installation
    Oscar Darío Monsalve Cifuentes, Jonathan Graciano Uribe, Diego Andrés Hincapié Zuluaga
    Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 2021
  • Control of steel detachment and metal flow on aluminum-steel friction stir welding of thin joints
    E. Torres, J. Graciano-Uribe, T. Santos
    International Journal of Engineering Transactions A Basics, 2021
  • Dynamic analysis of mechanical systems using image processing
    Juan D. Pérez, Diego A. Hincapié, Jonathan A. Graciano
    International Journal of Mechanics, 2021
  • Instabilities and influence of geometric parameters on the efficiency of a pump operated as a turbine for micro hydro power generation: A review
    Jonathan Graciano-Uribe, Jorge Sierra, Edwar Torres-Lopez
    Journal of Sustainable Development of Energy Water and Environment Systems, 2021
  • Characteristic Curve Prediction of a Commercial Centrifugal Pump Operating as a Turbine Through Numerical Simulations
    Diego Penagos Vásquez, Jonathan Graciano Uribe, Sebastián Vélez García, Jorge Sierra del Rio
    Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 2021
  • Segregation effect on solidification cracking in spot welding of the 6xxx aluminum
    Andrés Ramírez, J. Graciano-Uribe, Diego Hincapie Zuluga, Edwar Torrez Lopez
    Engineering Transactions, 2020
  • Weldability of aluminum-steel joints using continuous drive friction welding process, without the presence of intermetallic compounds
    Oscar David Hincapié, Jhonathan Alfonso Salazar, José Julian Restrepo, Jonathan Andrés Graciano-Uribe, Edwar Andrés Torres
    Engineering Journal, 2020
  • Control of formation of intermetallic compound in dissimilar joints aluminum-steel
    O. D. Hincapié, J. A. Salazar, J. Restrepo, E. Torres, J. Graciano-Uribe
    International Journal of Engineering Transactions A Basics, 2019

RECENT SCHOLAR PUBLICATIONS

  • Multiple regression modelling of bed expansion and backwashing pressure drop in pressurised porous media filters for microirrigation and comparison with semi-analytical models
    J Graciano-Uribe, T Pujol, A Castells, M Duran-Ros, G Arbat, ...
    Irrigation Science 44 (4), 84 , 2026
    2026
  • Hydraulic performance analysis of new versus commercial nozzle design for pressurised porous media filters
    J Graciano-Uribe, T Pujol, M Duran-Ros, G Arbat, FR de Cartagena, ...
    Irrigation Science 43 (6), 1273-1290 , 2025
    2025
    Citations: 3
  • Optimised random forest for predicting bed expansion and pressure drop in media filter backwashing
    PJ García–Nieto, E García–Gonzalo, J Graciano–Uribe, G Arbat, ...
    Biosystems Engineering 256, 104189 , 2025
    2025
    Citations: 8
  • Prediction of the bed expansion and pressure drop in microirrigation media filter backwashing using artificial neural networks and comparison with other machine learning techniques
    PJ García-Nieto, E García-Gonzalo, J Graciano-Uribe, G Arbat, ...
    Smart Agricultural Technology 11, 100900 , 2025
    2025
    Citations: 4
  • Impact of Filtration Cycle Patterns on Both Water and Energy Footprints in Drip Irrigation Systems
    T Pujol, A Castells, M Duran-Ros, J Graciano-Uribe, G Arbat, ...
    Water 17 (10), 1440 , 2025
    2025
    Citations: 1
  • Impact of filtration cycle patterns on both water and energy footprints in drip irrigation systems
    T Pujol i Sagaró, A Castells Coll, M Duran i Ros, J Graciano-Uribe, ...
    2025
  • Effects of porous media type and nozzle design on the backwashing regime of pressurised porous media filters
    J Graciano-Uribe, T Pujol, M Duran-Ros, G Arbat, FR de Cartagena, ...
    Biosystems Engineering 247, 77-90 , 2024
    2024
    Citations: 9
  • SOLID REMOVAL ACROSS PRESSURIZED SAND MEDIA FILTERS FOR DRIP IRRIGATION WHEN USING RECLAIMED EFFLUENTS
    M Duran-Ros, J Pujol, T Pujol, S Cufí, J Graciano-Uribe, G Arbat, ...
    REUSE EUROMED 2024 , 2024
    2024
  • Efficiency of backwashing in removing solids from sand media filters for drip irrigation systems
    M Duran-Ros, J Pujol, T Pujol, S Cufí, J Graciano-Uribe, G Arbat, ...
    Agriculture 14 (9), 1570 , 2024
    2024
    Citations: 9
  • VII Conference of Pre-doctoral Researchers Abstract Book: Volume VII, 2023
    G Boto Varela, A Piñel
    Universitat de Girona. Escola de Doctorat , 2023
    2023
  • Caracterización de filtros granulares en retrolavado con arena de sílice y microesferas de vidrio
    JG Uribe, T Pujol, MD Ros, DAH Zuluaga, GA Pujolràs, S Cufí, ...
    XII Congreso ibérico de agroingeniería.: Libro de actas, 691-698 , 2023
    2023
  • Efecto del contralavado en la retención de sólidos a lo largo del medio filtrante en filtros de arena
    MD Ros, J Pujol, T Pujol, JG Uribe, S Cufí, GA Pujolràs, ...
    XII Congreso ibérico de agroingeniería.: Libro de actas, 683-690 , 2023
    2023
  • Bed expansion at backwashing in pressurised porous media filters for drip irrigation: Numerical simulations and analytical equations
    J Graciano-Uribe, T Pujol, D Hincapie-Zuluaga, J Puig-Bargués, ...
    Biosystems Engineering 223, 277-294 , 2022
    2022
    Citations: 14
  • Author Correction: Microstructural Features of Dissimilar Thin Sheets Aging Aluminum Alloy–Low Carbon Steel Joined by Friction Stir Welding
    EA Torres López, JA Graciano-Uribe, IJ Marques, TF de Abreu Santos
    Metallography, Microstructure, and Analysis 11 (5), 817-817 , 2022
    2022
  • Microstructural features of dissimilar thin sheets aging aluminum alloy–low carbon steel joined by friction stir welding
    EA Torres López, JA Graciano-Uribe, IJ Marques, TF de Abreu Santos
    Metallography, Microstructure, and Analysis 11 (4), 617-633 , 2022
    2022
    Citations: 3
  • Correction of Errors during the Manufacture by Computer Numerical Control (CNC) of Blades for an Axial Hydrokinetic Turbine
    JAG Uribe, J Arbeláez, D Hincapie, E Chica, E Torres
    International Journal of Integrated Engineering 14 (1), 13-24 , 2022
    2022
  • Effect of the opening and location ratio on the performance of an H-Darrieus VAWT
    EA Torres López, AF Burbano Hernández, DA Hincapié Zuluaga, ...
    Universidad de Antioquia, Facultad de Ingeniería , 2022
    2022
  • Characterization of a Commercial Axial Flow PAT Through a Structured Methodology Step-by-Step
    D Penagos-Vásquez, J Graciano-Uribe, E Torres
    CFD Lett 14, 1-19 , 2022
    2022
    Citations: 3
  • Instabilities and influence of geometric parameters on the efficiency of a pump operated as a turbine for micro hydro power generation: A review
    J Graciano-Uribe, J Sierra, E Torres-López
    Journal of Sustainable Development of Energy, Water and Environment Systems … , 2021
    2021
    Citations: 13
  • Numerical Simulation of a Propeller-Type Turbine for In-Pipe Installation
    OD Monsalve-Cifuentes, J Graciano-Uribe, DAH Zuluaga
    Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 83 (1 … , 2021
    2021
    Citations: 13

MOST CITED SCHOLAR PUBLICATIONS

  • Assessment of Different Pressure Drop-Flow Rate Equations in a Pressurized Porous Media Filter for Irrigation Systems
    J Graciano-Uribe, T Pujol, J Puig-Bargués, M Duran-Ros, G Arbat, ...
    Water 13 (16), 2179 , 2021
    2021
    Citations: 27
  • Weldability of Aluminum-Steel Joints Using Continuous Drive Friction Welding Process, Without the Presence of Intermetallic Compounds
    EAT Oscar D. Hincapié, Jhonathan A. Salazar, José J. Restrepo, Jonathan A ...
    Engineering Journal 24 (1), 129-144 , 2020
    2020
    Citations: 17
  • Bed expansion at backwashing in pressurised porous media filters for drip irrigation: Numerical simulations and analytical equations
    J Graciano-Uribe, T Pujol, D Hincapie-Zuluaga, J Puig-Bargués, ...
    Biosystems Engineering 223, 277-294 , 2022
    2022
    Citations: 14
  • Instabilities and influence of geometric parameters on the efficiency of a pump operated as a turbine for micro hydro power generation: A review
    J Graciano-Uribe, J Sierra, E Torres-López
    Journal of Sustainable Development of Energy, Water and Environment Systems … , 2021
    2021
    Citations: 13
  • Numerical Simulation of a Propeller-Type Turbine for In-Pipe Installation
    OD Monsalve-Cifuentes, J Graciano-Uribe, DAH Zuluaga
    Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 83 (1 … , 2021
    2021
    Citations: 13
  • Control of Formation of Intermetallic Compound in Dissimilar Joints Aluminum-steel
    JGU O. D. Hincapiéa, J. A. Salazara, J. J. Restrepoa, E. A. Torres
    International Journal of Engineering TRANSACTIONS A: Basics 32 (1), 127-136 , 2019
    2019
    Citations: 12
  • Characteristic curve prediction of a commercial centrifugal pump operating as a turbine through numerical simulations
    D Penagos-Vásquez, J Graciano-Uribe, SV García, JS del Rio
    Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 83 (1 … , 2021
    2021
    Citations: 10
  • Comparative Analysis between a Discrete Spiral Chamber and a Continuous Spiral Chamber via ANSYS
    CAS Rios, J Graciano-Uribe, SV García, DAH Zuluaga
    Tecciencia 12 (23), 29-38 , 2017
    2017
    Citations: 10
  • Effects of porous media type and nozzle design on the backwashing regime of pressurised porous media filters
    J Graciano-Uribe, T Pujol, M Duran-Ros, G Arbat, FR de Cartagena, ...
    Biosystems Engineering 247, 77-90 , 2024
    2024
    Citations: 9
  • Efficiency of backwashing in removing solids from sand media filters for drip irrigation systems
    M Duran-Ros, J Pujol, T Pujol, S Cufí, J Graciano-Uribe, G Arbat, ...
    Agriculture 14 (9), 1570 , 2024
    2024
    Citations: 9
  • Optimised random forest for predicting bed expansion and pressure drop in media filter backwashing
    PJ García–Nieto, E García–Gonzalo, J Graciano–Uribe, G Arbat, ...
    Biosystems Engineering 256, 104189 , 2025
    2025
    Citations: 8
  • Segregation effect on solidification cracking in spot welding of the 6XXX aluminum
    A Ramirez, J Graciano-Uribe, DH ZULUGA, ET LOPEZ
    Engineering Transactions 68 (4), 417-431 , 2020
    2020
    Citations: 5
  • Prediction of the bed expansion and pressure drop in microirrigation media filter backwashing using artificial neural networks and comparison with other machine learning techniques
    PJ García-Nieto, E García-Gonzalo, J Graciano-Uribe, G Arbat, ...
    Smart Agricultural Technology 11, 100900 , 2025
    2025
    Citations: 4
  • Control of steel detachment and metal flow on aluminum-steel friction stir welding of thin joints
    EA Torres, UJ Graciano, TFA Santos
    International Journal of Engineering 34 (4), 1024-1034 , 2021
    2021
    Citations: 4
  • Hydraulic performance analysis of new versus commercial nozzle design for pressurised porous media filters
    J Graciano-Uribe, T Pujol, M Duran-Ros, G Arbat, FR de Cartagena, ...
    Irrigation Science 43 (6), 1273-1290 , 2025
    2025
    Citations: 3
  • Microstructural features of dissimilar thin sheets aging aluminum alloy–low carbon steel joined by friction stir welding
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    Metallography, Microstructure, and Analysis 11 (4), 617-633 , 2022
    2022
    Citations: 3
  • Characterization of a Commercial Axial Flow PAT Through a Structured Methodology Step-by-Step
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    CFD Lett 14, 1-19 , 2022
    2022
    Citations: 3
  • Effect of the opening and location ratio on the performance of an H-Darrieus VAWT
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    Revista Facultad de Ingeniería Universidad de Antioquia , 2021
    2021
    Citations: 2
  • Impact of Filtration Cycle Patterns on Both Water and Energy Footprints in Drip Irrigation Systems
    T Pujol, A Castells, M Duran-Ros, J Graciano-Uribe, G Arbat, ...
    Water 17 (10), 1440 , 2025
    2025
    Citations: 1
  • Inspección Visual Automática de un proceso flexográfico usando visión artificial para corregir la desalineación de las planchas de impresión
    D Giraldo, J Graciano-Uribe, C Madrigal, J Londoño
    Revista CINTEX 21 (1), 23-34 , 2016
    2016
    Citations: 1