Article
Chemistry, Analytical
Wael Deabes, Alaa E. Abdel-Hakim, Kheir Eddine Bouazza, Hassan Althobaiti
Summary: In this paper, a novel adversarial resolution enhancement model (ARE-ECT) is proposed for reconstructing high-resolution electrical capacitance tomography (CT) images. The model shows superior performance in training with low-quality initial images and generating high-resolution images. The evaluation results demonstrate the superiority of the ARE-ECT model over traditional methods and other deep learning models in generating more accurate CT images.
Article
Thermodynamics
Marek Balas, Pavel Milcak, Patrik Elbl, Martin Lisy, Jakub Lachman, Petr Kracik
Summary: Biogas production through anaerobic digestion is widely used in the Czech Republic. Handling the solid residue, digestate, has become increasingly important. This study confirms the feasibility of utilizing digestate as a fuel for industrial-scale fluidised-bed gasification.
Article
Engineering, Chemical
E. Milacic, M. Nunez Manzano, S. Madanikashani, G. J. Heynderickx, K. M. Van Geem, M. W. Baltussen, J. A. M. Kuipers
Summary: Liquid injection in fluidized beds has a significant impact on the temperature uniformity and agglomeration behavior. The size and velocity of the injected droplets play a crucial role in determining the temperature distribution and agglomerate formation in the bed.
CHEMICAL ENGINEERING SCIENCE
(2022)
Article
Energy & Fuels
T. McCann, E. J. Marek, Yaoyao Zheng, J. F. Davidson
Summary: This study investigates the combustion of waste glycerol in a fluidised bed. The results show that continuous burning of industrial glycerol is possible, but agglomeration of bed material should be taken into consideration. Moreover, glycerol can be autonomously burned in a fluidised bed without supplying heat.
Article
Engineering, Chemical
Massimiliano Zanin, Eddie Chan, William Skinner
Summary: This study presents a practical model for predicting the fluidised bed porosity and apparent density of the HydroFloatTM as the teeter water velocity is varied. The model can be used to calculate the optimum settings to achieve the desired fluidised-bed porosity for different ores. The model is validated with good predictive capabilities on two different copper ores.
Article
Chemistry, Applied
Daya Shankar Pandey, Elena Yazhenskikh, Michael Mueller, Mirko Ziegner, Anna Trubetskaya, James J. Leahy, Marzena Kwapinska
Summary: This study investigates the transformation, release, and fate of inorganic matter during fluidized bed gasification of poultry litter and a mixture of poultry litter with limestone as an additive. The research characterized the ashes, analyzed the release of inorganic species during gasification, and predicted the formation of gaseous species and composition of solid residues. Overall, the study aimed to determine whether the ashes from gasification can be categorized as component materials for EU fertilizer products.
FUEL PROCESSING TECHNOLOGY
(2021)
Article
Green & Sustainable Science & Technology
Hetian Chi, Miguel A. Pans, Chenggong Sun, Hao Liu
Summary: In this study, the use of molochite and dolomite as bed additives in a fluidised bed combustor was investigated to counter agglomeration during the combustion of wheat straw and miscanthus pellets. The results showed that dolomite was superior to molochite in prolonging defluidisation time when firing wheat straw. Lime addition to fuel had the most significant improvement on combustion performance for both fuels. The oxy-fuel combustion atmosphere had a great impact on the effectiveness of dolomite but little influence on the effectiveness of molochite.
Article
Green & Sustainable Science & Technology
Simone Venettacci, Gennaro Salvatore Ponticelli, Stefano Guarino
Summary: This study introduces an innovative fluidised bed finishing process for turbine blades, which improves productivity and reduces costs. Compared to traditional manual processing, the fluidised bed process offers lower environmental impact and higher eco-sustainability.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Environmental
O. J. Kramer, C. van Schaik, J. J. Hangelbroek, P. J. de Moel, M. G. Colin, M. Amsing, E. S. Boek, W. P. Breugem, J. T. Padding, J. P. van der Hoek
Summary: A sensor based on Archimedes' principle was developed to obtain the hydraulic state gradient in liquid-solid fluidised bed reactors, which can determine particle size and voidage. Experimental results indicate that the sensor is a more time-effective method for predicting the hydraulic state of the fluidised bed.
JOURNAL OF WATER PROCESS ENGINEERING
(2021)
Article
Engineering, Electrical & Electronic
Cody Park, Shah M. Chowdhury, Yaswanth Pottimurthy, Qussai M. Marashdeh, Andrew Tong, Fernando L. Teixeira, Liang-Shih Fan
Summary: In this study, a method based on electrical capacitance volume tomography (ECVT) is developed to reconstruct velocity profile maps in fluidized bed systems. The method takes advantage of the sensitivity distribution gradient of the ECVT sensor to avoid the use of image cross correlation techniques. Experimental data collected from both bubbling and slugging fluidized beds are used to validate the technique, and good agreement is found when comparing the velocity maps obtained with established methods and empirical correlations. The study demonstrates the power of ECVT as a measurement tool for gas-solid fluidized beds.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Biomedical
Zachary Miller, Ali Pirasteh, Kevin M. Johnson
Summary: In this study, a memory efficient method called block-wise learning was developed to overcome the GPU memory demand issue in applying model based deep learning (MBDL) to the reconstruction of 3D non-Cartesian MRI. The block-wise learning MBDL significantly improved image quality and reduced reconstruction time for 3D non-Cartesian datasets.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Jorg Sander, Bob D. de Vos, Ivana Isgum
Summary: This paper proposes an unsupervised deep learning semantic interpolation approach for synthesizing high-resolution medical images from low-resolution examples. The method utilizes the latent space generated by autoencoders and employs convex combination to achieve semantically smooth interpolation. Evaluation on multiple medical image datasets shows that the proposed method outperforms traditional methods in terms of structural similarity and peak signal-to-noise ratio.
MEDICAL IMAGE ANALYSIS
(2022)
Article
Computer Science, Artificial Intelligence
Veronica Corona, Angelica Aviles-Rivero, Noemie Debroux, Carole Le Guyader, Carola-Bibiane Schonlieb
Summary: The study introduces a variational multi-task framework that combines reconstruction, registration, and super-resolution tasks in MRI to achieve high-quality, motion-free image reconstructions with fine details and improved texture compared to state-of-the-art methods.
MEDICAL IMAGE ANALYSIS
(2021)
Article
Psychology, Clinical
John O. Brooks III, Jennifer L. Kruse, Antoni Kubicki, Gerhard Hellemann, Randall T. Espinoza, Michael R. Irwin, Katherine L. Narr
Summary: This study followed 20 subjects with treatment-resistant depression for six months after an index ECT course and found significant decreases in gray matter volume in multiple regions. Reduced IL-8 level was significantly related to decreased depressive symptoms, while decreased volume in the right insula and Brodmann's Area 22 was related to increased depressive symptoms over six months.
PSYCHOLOGICAL MEDICINE
(2023)
Article
Thermodynamics
O. Bartoli, R. Chacartegui, A. Carro, C. Ortiz, U. Desideri, J. A. Becerra
Summary: This study proposes a thermochemical energy storage system for concentrated solar power plants based on the reversible hydration/dehydration process of calcium hydroxide. Through modeling and economic analysis, it is found that this system has potential economic advantages and competitiveness.
APPLIED THERMAL ENGINEERING
(2022)
Article
Polymer Science
Jaber Gharib, Shusheng Pang, Daniel Holland
EUROPEAN POLYMER JOURNAL
(2020)
Article
Engineering, Chemical
Megan Danczyk, Tom Meaclem, Maral Mehdizad, Daniel Clarke, Petrik Galvosas, Luke Fullard, Daniel Holland
Article
Engineering, Chemical
Daniel A. Clarke, Fabian Dolamore, Conan J. Fee, Petrik Galvosas, Daniel J. Holland
Summary: This study used MRI experiments and CFD simulations to investigate the flow characteristics in TPMS columns, revealing a transition from creeping flow to inertial flow and demonstrating that MRI and CFD are suitable techniques for understanding the superior performance of TPMS devices.
CHEMICAL ENGINEERING SCIENCE
(2021)
Article
Engineering, Mechanical
Wessenu Maru, Daniel Holland, Susithra Lakshmanan, Andy Sederman, Andrew Thomas
Summary: This study investigates the challenges and practices of quality measurement in the oil & gas industry, focusing on automatic pipeline sampling of petroleum liquids according to ISO 3171. Innovative diagnostic techniques and a new mixing system were used to optimize nozzle design and improve homogeneity of mixture in challenging conditions. The study shows promise for an effective sampling and proving system for the petrochemical industry.
FLOW MEASUREMENT AND INSTRUMENTATION
(2021)
Article
Biochemical Research Methods
Maral Mehdizad, Luke Fullard, Petrik Galvosas, Daniel Holland
Summary: The study aimed to develop MRI methods for quantitative measurement of solid fraction in granular flows. By correcting artefacts, spatial variations, and field variations, quantitative images were obtained for solid fraction distribution in flow.
JOURNAL OF MAGNETIC RESONANCE
(2021)
Article
Physics, Fluids & Plasmas
James A. Robinson, Daniel J. Holland, Luke Fullard
Summary: Recent research has used granular fluidity to model nonlocal behavior within granular flows, proposing a microscopic definition linking it to packing fraction, particle diameter, and granular temperature. The study found that granular fluidity is more complex than previously thought, and the current microscopic definition is insufficient to capture its behavior.
PHYSICAL REVIEW FLUIDS
(2021)
Article
Chemistry, Analytical
Yevgen Matviychuk, Sharlene Haycock, Tanya Rutan, Daniel J. Holland
Summary: This study introduces a fully automated approach for quantitative compositional analysis of fermented beverages using benchtop NMR spectroscopy, addressing the limitations of reduced spectral resolution and advanced data processing. The model-based algorithm demonstrates effectiveness in quantifying more than 15 major components in wine matrix, with concentrations usually within 10% discrepancy compared to traditional methods, and lower for most abundant species such as ethanol.
ANALYTICA CHIMICA ACTA
(2021)
Article
Biochemical Research Methods
Yejin Lee, Yevgen Matviychuk, Hangil Park, Liguang Wang, Daniel J. Holland
Summary: This study investigates the quantification of a commonly used frothing agent, MIBC, in process water of a coal preparation facility using a benchtop NMR. Solid phase extraction and high-field NMR techniques were utilized to accurately determine MIBC concentration and recovery rate. The quantum mechanical model effectively excluded the interference of diesel on the NMR signal, resulting in quantification error within acceptable limits.
JOURNAL OF MAGNETIC RESONANCE
(2021)
Article
Biochemical Research Methods
Yejin Lee, Yevgen Matviychuk, Ben Bogun, Cameron S. Johnson, Daniel J. Holland
Summary: This study investigates the possibility of using benchtop NMR spectroscopy for quantitative analysis of illicit drug mixtures. The results show that the model-based algorithm provides more accurate measurements of the mixture's concentration, while the integration method has a larger error.
JOURNAL OF MAGNETIC RESONANCE
(2022)
Article
Engineering, Chemical
Maral Mehdizad, Luke Fullard, Petrik Galvosas, Daniel Holland
Summary: This study utilizes MRI to quantitatively measure the solid fraction and velocity within 3D hoppers, revealing discrepancies with existing mass flow assumptions.
Correction
Engineering, Chemical
Megan Danczyk, Tom Meaclem, Maral Mehdizad, Daniel Clarke, Petrik Galvosas, Luke Fullard, Daniel Holland
Article
Engineering, Chemical
Megan Danczyk, Oscar Punch, Luke Fullard, Mathew Hawken, Daniel J. Holland
Summary: This study investigates collisions between spherical particles with a thin layer of viscous liquid, where viscous forces dominate. The measurements and simulations show that the viscous force scales with the inverse of the separation distance between particles. Four theoretical models were examined, and the best agreement was obtained when accounting for surface curvature and using an empirically-fitted glass transition pressure model to determine the minimum approach distance.
Article
Engineering, Chemical
Yejin Lee, Hangil Park, Yevgen Matviychuk, Daniel J. Holland, Liguang Wang
Summary: This study extends the previously developed frother concentration analysis technique based on solid phase extraction process and cryogen-free benchtop NMR. It demonstrates the accurate quantification of widely used flotation frothers, even in the presence of residual flotation collectors and inorganic electrolytes. It also determines frother concentrations in blends and background chemicals. This technique has the potential for real-time on-site measurement and is easy to operate and maintain.
MINERALS ENGINEERING
(2022)
Article
Physics, Fluids & Plasmas
James A. Robinson, Daniel J. Holland, Luke Fullard
Summary: Granular packing is characterized by a linear relationship between packing fraction and dimensionless shear rate. This relationship is observed in simple and complex heterogeneous flow geometries. However, at low inertia, the relationship becomes nonlinear and dependent on the specific geometry and conditions. The response of packing fraction is analogous to the behavior of stress ratio, suggesting nonlocal effects of granular rheology.
PHYSICAL REVIEW FLUIDS
(2022)
Article
Chemistry, Multidisciplinary
Ellen Steimers, Yevgen Matviychuk, Anne Friebel, Kerstin Muennemann, Erik von Harbou, Daniel J. Holland
Summary: This study introduces two NMR methods, 2D non-uniform sampling and model-based fitting approach, to overcome challenges of low resolution and overlapping peaks in NMR spectra. By applying these methods to analyze complex reaction mixtures, comparable results to high-field data can be obtained.
MAGNETIC RESONANCE IN CHEMISTRY
(2021)
Article
Engineering, Chemical
Ri Zhang, Shasha Zhang, Mengyan Ding
Summary: A thin liquid film method is proposed to evaluate sand erosion in annular flow. This method considers the direct interaction between the liquid film and gas core, as well as the entrainment and deposition of droplets. The erosion rate is calculated by considering the effects of liquid entrainment and particle velocity decay. The method is fully verified by comparing with experimental data.
Article
Engineering, Chemical
Yu Suo, Xianheng Su, Wenyuan He, Xiaofei Fu, Zhejun Pan
Summary: This research investigates the mechanical properties of sandstone-shale composite through orthogonal experimental method and discrete element simulation. The results show that different lithologies and thickness ratios can affect the strength and fracture mode of the composite rock samples.
Article
Engineering, Chemical
Maurizio Troiano, Andrea El Hassanin, Roberto Solimene, Alessia Teresa Silvestri, Fabrizio Scala, Antonino Squillace, Piero Salatino
Summary: This study investigates the potential of Fluidized Bed Finishing (FBF) for square flat AlSi10Mg specimens manufactured via Laser-Powder Bed Fusion (L-PBF) additive manufacturing technology. The results show that good finishing can be achieved using rotation-assisted tests, with a maximum reduction of surface roughness by 67%. Steel particles are found to be the most effective bed material.
Review
Engineering, Chemical
Ningbo Song, Wanzhong Yin, Jin Yao
Summary: Seawater's dissolved salts and minerals have various effects on the flotation process, including influencing the characteristics and behavior of flotation factors, as well as affecting the surface of sulfide minerals. In most cases, seawater has adverse effects on the flotation of sulfide minerals, but these effects can be mitigated by adjusting the reagents.
Article
Engineering, Chemical
Kaiqiao Wu, Shuxian Jiang, Victor Francia, Marc-Olivier Coppens
Summary: In rectangular and cylindrical annular fluidized beds, pulsating gas flow can create regular bubble patterns, overcoming challenges seen in conventional units. This study provides new opportunities for modularization of fluidized bed operations.
Article
Engineering, Chemical
Shuo Li, Huili Zhang, Jan Baeyens, Miao Yang, Zehao Li, Yimin Deng
Summary: The paper assesses the behavior of cohesive Geldart C-type particles when fluidized by air with the aid of vibration. It determines that mechanical vibration is a simple and effective method to improve the fluidity of cohesive particles during fluidization.
Article
Engineering, Chemical
Zhenfei Feng, Qingyuan Zhang, Shanpan Liang, Zhenzhou Li, Fangwen Guo, Jinxin Zhang, Ding Yuan
Summary: A new micro/mini-channel heat sink (MCHS) with a combined structure of longitudinal and transverse vortex generators is designed, using Al2O3 nanofluid as the working medium. The study explores the effects of transverse vortex generator shape and longitudinal vortex generator angle on the hydraulic and thermal characteristics, comprehensive performance, entropy generation, and exergy efficiency. The results show that the triangular transverse vortex generator improves the comprehensive performance and exergy efficiency. Combined with the longitudinal vortex generator, the MCHS achieves the best comprehensive performance, entropy generation, and exergy efficiency when the Reynolds number is 742.
Article
Engineering, Chemical
Kostas Giannis, Christoph Thon, Guoqing Yang, Arno Kwade, Carsten Schilde
Summary: This study presents a 3D convolutional neural network (3D-CNN) methodology for generating realistic 3D models of particles. The method trains on 2D projections of particle images to predict their 3D shapes, and evaluates the accuracy of the predictions using Fourier shape descriptors (FSDs). This methodology has wide applications in particle shape analysis.
Article
Engineering, Chemical
Zheng-qing Zhou, Lu-jia Chai, Yu-long Zhang, Ya-bin Wang, Ze-chen Du, Tian-yi Wang, Yu-zhe Liu
Summary: The dynamic oxidation and shell-breaking processes of aluminum nanoparticles (ANPs) during heating were studied using in situ transmission electron microscopy. The results revealed that the changes in shell thickness can be divided into three stages, and the active aluminum content of ANP decreased before shell-breaking.
Article
Engineering, Chemical
Fulei Chen, Huaqing Ma, Zihan Liu, Lianyong Zhou, Yongzhi Zhao
Summary: A particle breakage model based on the particle replacement scheme, using the polyhedral model to describe particles, is proposed in this work to accurately describe the breakage of a large number of particles. Additionally, a fast-cutting algorithm is proposed to reproduce the size distribution of progeny particles determined by the breakage model. The validation and simulation results show satisfactory accuracy, efficiency, and stability of the algorithm.
Review
Engineering, Chemical
Matteo Errigo, Christopher Windows-Yule, Massimiliano Materazzi, Dominik Werner, Paola Lettieri
Summary: Gas-solid fluidized-bed systems have advantages in terms of chemical reaction efficiency and temperature control, making them widely used in industrial applications. However, the design, scale-up, and optimization of these complex units are limited by the lack of deep physical understanding. Non-invasive and non-intrusive diagnostic techniques provide a way for researchers to study these systems without affecting the flow field or directly contacting the medium under study.
Article
Engineering, Chemical
Saeed Fateh, Mohammad Behshad Shafii, Mohammad Najafi, Cyrus Aghanajafi
Summary: Applying a magnetic field to ferrofluids alters their flow characteristics and enhances heat transfer. Through visualization and quantitative investigation, it is found that the magnetic field influences the flow patterns and velocity profiles, improving fluid mixing and vorticity magnitude.
Article
Engineering, Chemical
Lei Gao, Bingbing Wei, Xiaochuan Hu, Zaifeng Yao, Yiwen Fang, Xuejian Gao
Summary: In this study, a numerical model of sand triaxial test was established using discrete element software PFC3D, and an indoor triaxial test was conducted to calibrate the numerical model. The influence of microscopic parameters on the macroscopic mechanical response of sand was analyzed. The results showed that the friction coefficient had the greatest impact on the peak strength and residual strength of the sand's stress-strain curve, and it was positively correlated. The normal tangential stiffness ratio was negatively correlated, while the porosity and boundary flexibility stiffness had minimal influence on it.
Article
Engineering, Chemical
Xuan Liu, Jie Gong, Kai Jiang, Xiaojuan Lai, Yu Tian, Kang Zhang
Summary: This study aimed to improve the performance of lignite coal water slurries (CWSs) by synthesizing a series of three-arm amphiphilic block copolymers. By controlling the relative molecular weight, hydrophilic/hydrophobic ratio, and ionic group content, the apparent viscosity of CWSs was significantly reduced and the static stability was improved. Thermogravimetric testing and XPS analysis were conducted to reveal the mechanism behind the improved performance.
Article
Engineering, Chemical
Lanka Dinushke Weerasiri, Daniel Fabijanic, Subrat Das
Summary: Fluidization at low pressure offers significant benefits for the fine chemical industry. This study investigates the behavior of bubbles and bed expansion under low pressure conditions. It is found that lower pressure leads to larger bubbles, increased bubble quantity, and higher aspect ratio. The predictability is affected by the inhomogeneous fluidization, but low pressure fluidization can generate similar bubble sizes with lower fluidizing mass compared to atmospheric pressure.
