Article
Engineering, Chemical
Biao Wang, Tianqi Tang, Shengnan Yan, Yurong He
Summary: This study numerically investigates the segregation behaviors of binary component particles in magnetic field-fluidized beds, and explores the effects of magnetic field intensity, gradient, and superficial gas velocity on the extent of segregation.
Article
Engineering, Chemical
Jiang Xiaoxue, Wang Shuyan, Zhang Qinghong, Shao Baoli, Lu Huilin
Summary: The study proposed an empirical correlation for granular CoR using a coupled KTGF and DEM, calculated using statistical methodology and showing sensitivity to multiple collisions. The granular CoR influenced momentum conservation at high granular volume fractions, with simulated bed expansions matching experimental measurements and predicted granular pressure and viscosity compared with measured data.
Article
Engineering, Chemical
Xiaoyang Wei, Justin Weber, Ronald W. Breault
Summary: Gas-solid circulating fluidized beds (CFBs) are widely used as reactors in industry, and the performance heavily relies on the interaction between gas and clusters. This study numerically quantified the gas-cluster interaction and proposed an empirical correlation to quantify the interaction, contributing significantly to the design and optimization of CFBs.
Article
Engineering, Environmental
Iman Soleimani, Jaber Shabanian, Jamal Chaouki
Summary: This study proposes two equivalent equations for quantifying interparticle forces (IPFs) in a gas-solid fluidized bed and examines their effects on agglomeration. The first equation, the generalized Umf deviation equation, correlates the magnitude of IPFs to the ratio of experimental and theoretical minimum fluidization velocities. The second equation, the generalized Dynamic Hausner Ratio (DHR) equation, relates the magnitude of IPFs to the agglomerate size as well as the DHR. These equations can be applied in various conditions and help quantify the resultant IPFs acting on particles. The opportunities and limitations of the proposed equations are discussed.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Engineering, Chemical
Anxing Ren, Tianqi Tang, Yurong He
Summary: This study evaluates the flow behaviors and mesoscale structure in fluidized beds with non-spherical dry and wet particles using CFD-DEM simulations, finding the interaction of particle shape and viscous liquid on particle kinetic energy. The results suggest guidance for fluidization of non-spherical particles and optimization of related industrial processes.
ADVANCED POWDER TECHNOLOGY
(2022)
Article
Thermodynamics
Lucilla Coelho de Almeida, Joao Americo Aguirre Oliveira Junior, Jian Su
Summary: This paper presents a new approach for computing particle temperatures in simulations coupling computational fluid dynamics (CFD) and discrete element method (DEM) to predict flow and heat transfer in fluidized beds of thermally thick spherical particles. An improved lumped formulation is used to overcome the limitations of classical lumped models, which is validated through comparisons with analytical solutions and experimental data. The results show the importance of accurately accounting for surface temperature in convective heat transfer predictions and surface processes.
INTERNATIONAL JOURNAL OF NUMERICAL METHODS FOR HEAT & FLUID FLOW
(2023)
Article
Computer Science, Interdisciplinary Applications
Ashley Scillitoe, Pranay Seshadri, Mark Girolami
Summary: The study explores the application of Mondrian forests in data-driven turbulence modeling, finding that their predictions outperform linear and non-linear models. Shapley values are used to interpret the predictions and it is observed that predictive uncertainty exists.
JOURNAL OF COMPUTATIONAL PHYSICS
(2021)
Article
Engineering, Environmental
Claudio Tregambi, Francesca Di Lauro, Sara Pascual, Pilar Lisbona, Luis M. Romeo, Roberto Solimene, Piero Salatino, Fabio Montagnaro
Summary: The aim of this study is to investigate the feasibility of ThermoChemical Energy Storage (TCES) using the Calcium Looping (CaL) process through a dedicated experimental campaign in fluidized bed under realistic process conditions suitable for CaL-CSP integration. The research found that the deactivation of limestone becomes more pronounced when it is co-processed with silica sand. The interaction between sand and lime reduces the porosity and reactivity of the sorbent, leading to a decrease in process efficiency.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Engineering, Chemical
Chunlei Wang, Guodong Liu, Zhanhu Zhai, Xinyao Guo, Yao Wu
Summary: Models describing particle triboelectric charging and electrostatic interactions were added to the Computational Fluid Dynamic coupled Discrete Element Method (CFD-DEM) for numerical simulations. It was found that as particle size decreases, bipolar charged particles exhibit a chaining stage and an agglomerating stage, with different interactions between triboelectric charging and fluidization. The effect of the wall is positively correlated to the ratio of the particle-wall collision rate to the total particle collision rate, and the fluidization conditions of particles affect the charging process via this correlation. This work contributes to a better understanding of the interaction between triboelectric charging and particle fluidization, and helps optimize fluidized bed design and conditions.
Article
Mechanics
Junjie Shentu, Botao Lin
Summary: The study proposes a machine learning framework for efficient calibration of complex discrete element models and assessment of the effects of microscopic parameters on overall mechanical behavior.
ENGINEERING FRACTURE MECHANICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Shantanu Shahane, Erman Guleryuz, Diab W. Abueidda, Allen Lee, Joe Liu, Xin Yu, Raymond Chiu, Seid Koric, Narayana R. Aluru, Placid M. Ferreira
Summary: Surrogate neural network models are used in cell phone camera systems to accurately evaluate lens configurations and analyze optical properties. They provide efficient handling of large amounts of data for sensitivity and uncertainty analysis, and are valuable tools for optimizing tolerance design and component matching.
COMPUTERS & STRUCTURES
(2022)
Review
Chemistry, Medicinal
Sameera Sansare, Hossain Aziz, Koyel Sen, Shivangi Patel, Bodhisattwa Chaudhuri
Summary: The fluidized bed is an essential equipment in process development and has been extensively studied for its wide application in various areas. This review paper focuses on the computational modeling of a fluidized bed in pharmaceutical applications, discussing the background of modeling and summarizing relevant research papers on pharmaceutical unit operations.
JOURNAL OF PHARMACEUTICAL SCIENCES
(2022)
Article
Mechanics
K. S. Suraj, P. M. Anilkumar, C. G. Krishnanunni, B. N. Rao
Summary: Morphing structures, such as bistable laminates with variable stiffness composites, have attracted increasing interest in aerospace and wind turbine applications. However, the effect of uncertainty in design variables on the behavior of bistable laminates has not been extensively studied. In this work, a machine learning assisted uncertainty quantification framework is developed and demonstrated, showing that it performs better than traditional approaches in capturing the non-linearity of the bistable laminate. The proposed approach is computationally efficient and accurate, providing a practical method for quantifying uncertainty in morphing structures.
COMPOSITE STRUCTURES
(2023)
Article
Mathematics, Interdisciplinary Applications
Janna Grabowski, Nico Jurtz, Viktor Brandt, Harald Kruggel-Emden, Matthias Kraume
Summary: This paper investigates the coupling of the discrete element method (DEM) with computational fluid dynamics (CFD) to describe fluidized particulate systems, and identifies the limitations of the system-to-grain ratio and system width. To enhance the accuracy of simulations, the study proposes sub-grid drag models, which often lack comprehensive testing of system configurations.
COMPUTATIONAL PARTICLE MECHANICS
(2023)
Article
Computer Science, Information Systems
Wei Wei, Jiang Wu, Yang Yu, Tong Niu, Xinxin Deng
Summary: Advancements in wind power system modeling have led to significant socioeconomic benefits in addressing global environmental issues. A novel monitoring-forecasting system is proposed in this study for uncertainty modeling of wind power, which includes modules for analysis, outlier detection, probabilistic forecasting, and evaluation. Through the use of advanced techniques such as Gaussian process regression and isolation forest algorithm, the system demonstrates improved reliability and flexibility in wind power forecasting.
Article
Mechanics
V. M. K. Kotteda, S. Mittal
Article
Computer Science, Hardware & Architecture
V. M. Krushnarao Kotteda, Vinod Kumar, William Spotz
JOURNAL OF SUPERCOMPUTING
(2018)
Article
Chemistry, Physical
Jacquelyn N. Bracco, Sang Soo Lee, Joanne E. Stubbs, Peter J. Eng, Sarah Jindra, D. Morgan Warren, Anitha Kommu, Paul Fenter, James D. Kubicki, Andrew G. Stack
JOURNAL OF PHYSICAL CHEMISTRY C
(2019)
Article
Mechanics
Suresh Behara, Venu Chandra, B. Ravikanth, V. M. Kurshnarao Kotteda
Article
Engineering, Mechanical
Diego Alberto Lozano Jimenez, V. M. Krushnarao Kotteda, Vinod Kumar, V. S. Rao Gudimetla
JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME
(2019)
Article
Materials Science, Multidisciplinary
V. M. Krushnarao Kotteda, Arturo Schiaffino, Ashesh Chattopadhyay, Sanjay Shantha-Kumar, Vinod Kumar, Arturo Bronson
METALLURGICAL AND MATERIALS TRANSACTIONS B-PROCESS METALLURGY AND MATERIALS PROCESSING SCIENCE
(2019)
Review
Materials Science, Multidisciplinary
Anitha Kommu, Jayant K. Singh
Article
Engineering, Chemical
V. M. Krushnarao Kotteda, Michael Stoellinger
Summary: Thermal radiation plays a significant role in various applications, particularly affecting heat transfer characteristics in combustion and gasification. A framework implementing the P-1 radiation model has been developed and validated under various flue gas conditions, also used for studying dry and wet flue gas conditions.
Proceedings Paper
Computer Science, Hardware & Architecture
V. M. Krushnarao Kotteda, Anitha Kommu, Vinod Kumar
2019 IEEE HIGH PERFORMANCE EXTREME COMPUTING CONFERENCE (HPEC)
(2019)
Article
Geosciences, Multidisciplinary
Paul M. Delgado, V. M. Krushnarao Kotteda, Vinod Kumar
Proceedings Paper
Engineering, Mechanical
Arturo Schiaffino, Ashesh Chattopadhyay, Shaikh Tanveer Hossain, Vinod Kumar, V. M. K. Kotteda, Arturo Bronson
PROCEEDINGS OF THE ASME FLUIDS ENGINEERING DIVISION SUMMER MEETING, 2017, VOL 1A
(2017)
Proceedings Paper
Engineering, Mechanical
V. M. Krushnarao Kotteda, Ashesh Chattopadhyay, Vinod Kumar, William Spotz
PROCEEDINGS OF THE ASME FLUIDS ENGINEERING DIVISION SUMMER MEETING, 2017, VOL 1C
(2017)
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.