Article
Engineering, Chemical
Zhan Luo, Yuanhe Yue, Shuai Wang, Yansong Shen
Summary: In this study, the spout deflection behavior of cohesive particles in a pseudo-2D spout fluidized bed is investigated using computational fluid dynamics - discrete element method. It is found that cohesive particles, especially those covered with honey, exhibit smaller spout deflection compared to dry particles. Furthermore, the spout deflection angle increases with increasing spouting gas velocity for both dry and cohesive particles.
Article
Engineering, Chemical
Yuanhe Yue, Shuai Wang, Yansong Shen
Summary: Two hypotheses were proposed to explain spout deflection mechanisms in spout fluidized beds, and virtual experiments were designed to verify these hypotheses. The study found that asymmetrical particle fountaining and rheological properties of the annulus region play key roles in determining spout deflection.
CHEMICAL ENGINEERING SCIENCE
(2021)
Article
Engineering, Chemical
Yuanhe Yue, Shuai Wang, Yansong Shen
Summary: This study investigates the instability problem of alternating spout deflection in spout-fluidized beds and proposes three different geometrical designs to mitigate the issue. Design I and Design II show potential in reducing the amplitude of spout deflection, while Design III affects the frequency of the spout deflection. The findings aim to improve the hydrodynamics stability in spout fluidized beds.
Article
Engineering, Chemical
Rong Guo, Jinhao Bai, Feng Wu, Junwu Wang, Xiaoxun Ma, Zhiquan Hui
Summary: The hydrodynamic and heat transfer characteristics of dry and wet particles in quasi-two-dimensional integral multi-jet spout-fluidized bed and conventional spouted bed were studied using computational fluid dynamics and discrete element method. The study found that the appropriate moisture content of particles enhances the heat transfer effect, and the integral multi-jet spout-fluidized bed performs better in handling wet particles.
Article
Engineering, Chemical
Yuanhe Yue, Yansong Shen
Summary: This study investigates the spout incoherence behavior in conical spouted beds using Computational Fluid Dynamics-Discrete Element Method. A quantification method is proposed to characterize the movement of spout incoherence, which is verified by flow hydrodynamics frequency and visual observations of particle blockage. The research reveals that different operating conditions and particle loadings lead to different forms of spout incoherence, and the inclination angle of the conical spouted beds significantly affects spout instability.
Article
Thermodynamics
Panxing Kang, Haizhuan Yuan, Luchang Han, Yefeng Zhou
Summary: The hydrodynamics and heat transfer characteristics in a gas-solid spout fluidized bed were investigated using computational fluid dynamics and discrete element methods. Results showed that increasing the spouting gas velocity accelerated both the axial and radial particle mixing rates, with the axial rate being faster. The annulus zone contributed the most to inter-particle conduction, while the particle-fluid-particle conduction played a significant role in convective heat transfer. The findings provide a theoretical reference for optimizing and intensifying gas-solid flow-mixing-heat transfer processes in spout fluidized beds.
APPLIED THERMAL ENGINEERING
(2023)
Review
Engineering, Chemical
Alberto Di Renzo, Erasmo S. Napolitano, Francesco P. Di Maio
Summary: In the past decade, the application of CFD-DEM for fluidized beds has expanded from small, lab-scale units to larger scale systems, benefiting greatly from coarse graining methods. By introducing coarse graining procedures based on different physical backgrounds, the number of particles that can be simulated has increased, covering pilot-scale and industrially relevant systems. The review discusses scaling for contact forces, hydrodynamic forces, and cohesive forces, quantifying computational savings in terms of coarse graining degree and presenting recent applications and future directions in the field.
Article
Engineering, Chemical
Hao Zhang, Wanbing Qiao, Xizhong An, Xinglian Ye, Jiang Chen
Summary: This study investigates the fluidization characteristics of a gas-solid fluidized bed reactor containing ternary particles using coupled computational fluid dynamics and discrete element method simulations. The results show that increasing the superficial gas velocity can enhance the overall mixing degree and mitigate the discrepancy caused by particle shape.
Article
Energy & Fuels
Conghui Gu, Haichao Zhao, Bingyang Xu, Junjie Yang, Jun Zhang, Mingpu Du, Yuan Liu, Dmitriy Tikhankin, Zhulin Yuan
Summary: This article investigates the distribution and agglomeration characteristics of chain-like biomass particles in a fluidized bed through the coupled model of computational fluid dynamics -discrete element method. The results show that chain-like biomass particles tend to agglomerate near the wall and corners, with a maximum volume fraction of 0.11%. The particle concentration distribution exhibits an inverted "C" shape. The gas velocity and biomass particle mass flow rate have significant effects on the distribution and agglomeration characteristics of chain-like biomass particles.
Article
Engineering, Environmental
Yaxiong Yu, Feng Lu, Haolong Bai, Fei Wei, Chenxi Zhang
Summary: This study investigates the influence of adding fines on heat transfer performance in fluidized beds through experiments, simulations, and theoretical analysis. The results show that adding fines enhances the heat transfer performance, with the bed-wall heat transfer coefficient presenting a volcano-shaped curve. Simulations and theoretical analysis reveal that improved particle dispersion due to fines addition is responsible for this phenomenon. The theoretical analysis further uncovers that fines addition creates more free-space for particle movement, thereby improving particle dispersion and enhancing heat transfer in fluidized beds.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Engineering, Chemical
Yuanhe Yue, Shuai Wang, Yansong Shen
Summary: In this study, the alternating spout deflection (ASD) is compared with the spout-fluidisation (SF) flow pattern in terms of gas-solid hydrodynamics, mixing, and heat transfer performance using a Computer Fluid Dynamic-Discrete Element Method (CFDDEM) model. The ASD shows advantages in terms of particle packing state, mixing performance, and heat transfer efficiency compared to SF.
CHEMICAL ENGINEERING SCIENCE
(2021)
Article
Energy & Fuels
Dali Kong, Shuai Wang, Kun Luo, Jiahui Yu, Jianren Fan
Summary: The methanation process in a bubbling fluidized bed (BFB) reactor is studied using computational fluid dynamics-discrete element method (CFD-DEM) with thermochemical sub-models. A novel algorithm is developed for bubble identification and statistics. The effects of key operating parameters on bubble behaviors are quantified and the underlying mechanism of mesoscale bubble behaviors is elucidated. The results show that the bubble dynamics can be well captured by the algorithm and the interphase heat and mass transfer can be enhanced by adjusting the operating parameters.
Article
Engineering, Chemical
Zhi Han, Yingjuan Shao, Wenqi Zhong
Summary: A novel CFD-DEM particle attrition model is developed to investigate the attrition mechanism of particles in fluidized beds. The results show that the attrition process can be divided into unstable attrition stage and stable attrition stage, with the former further divided into high-speed attrition phase and low-speed attrition phase. Wear and fragmentation increase with increasing height-diameter ratio and superficial gas velocity. The wear ratio decreases with increasing particle size, while the fragmentation ratio first decreases and then increases. Particle attrition mechanism also exhibits spatial non-uniformity.
Article
Engineering, Chemical
Sri Utami Handayani, Hadi Wahyudi, Sri Agustina, Mohamad Endy Yulianto, Hermawan Dwi Aryanto
Summary: In this paper, a combined approach of 2D computational fluid dynamics (CFD) and 3D discrete element method (DEM) is used to study the drying of ellipsoidal particles in fluidized beds. The model incorporates heat, mass transfers, and drying kinetic models. The validity of the model is tested and the results show good agreement with existing correlation or data. The influence of aspect ratio on heat and mass transfer behaviors is analyzed to improve the fundamental understanding of the system.
Article
Engineering, Chemical
Venkata Charan Reddy Eppala, Mona Mary Varghese, Teja Reddy Vakamalla
Summary: In this study, the effect of non-spherical particle shape on the hydrodynamics of a rectangular gas-solid fluidized bed is numerically investigated using a coupled Computational Fluid Dynamics - Discrete Element Method approach. The accuracy of the model is validated by comparing the predicted results with experimental data. The results show a strong relationship between particle sphericity and fluidization behavior.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2023)
Article
Engineering, Chemical
Yuki Tsunazawa, Nobukazu Soma, Mikio Sakai
Summary: This study clarifies the mixing mechanism of a pot blender using the discrete element method. The results show that the main mixing mechanism is convective mixing in the rotational direction and shear mixing in the axial direction. The particle filling ratio significantly influences the mixing efficiency, and the dependency of shear and diffusive mixing on Lacey's mixing index is also clarified.
ADVANCED POWDER TECHNOLOGY
(2022)
Article
Engineering, Chemical
Shuo Li, Guangtao Duan, Mikio Sakai
Summary: In this study, an advanced identification technique incorporating the POD method is developed to determine the main mixing mechanisms and investigate their transition. Results show that convection dominates the mixing mechanism in the early stage, while diffusion takes over in the late stage. The relation between POD modes and mixing mechanisms is established, indicating clumped and random spatial distributions of POD modes for convective and diffusive mixing, respectively. Combining CFD-DEM simulation with the LPOD method proves effective in identifying the main mixing mechanism and explaining the transition between convective and diffusive mixing.
ADVANCED POWDER TECHNOLOGY
(2022)
Article
Nuclear Science & Technology
Guangtao Duan, Akifumi Yamaji, Mikio Sakai
Summary: The study investigates the occurrence of local hot spots and RPV breach patterns during debris melting using the MPS method. It is found that large debris blocks may cause severe local hot spots and a lower breach point, while high decay power can result in the migration of local hot spots and limited ablation near the RPV wall.
ANNALS OF NUCLEAR ENERGY
(2022)
Article
Engineering, Environmental
Shuyue Li, Yansong Shen
Summary: A versatile mathematical approach is developed for monitoring gas-solid flow systems' internal states and process control, combining a CFD model and process controller simulation for real-time control of complex systems. This method proves effective in collaborative simulation of microscale flow details and macroscale process controller response.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Engineering, Environmental
Yuki Mori, Mikio Sakai
Summary: The ellipsoidal DEM/SDF model demonstrates the applicability and feasibility of non-spherical particles in industrial mixing process, which is crucial for the optimization of mixer design and operational conditions in chemical, food, and pharmaceutical engineering fields.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Engineering, Chemical
Shuyue Li, Yansong Shen
Summary: This study used a multi-fluid model to investigate the gas-solid hydrodynamics in a CDCL combustion unit, revealing that the solid circulation rate is controlled by the gas flow rate, higher combustor gas velocity reduces system pressure, and increased L-valve gas velocity affects local pressure.
CHEMICAL ENGINEERING SCIENCE
(2022)
Article
Engineering, Chemical
Xiaobing Yu, Yansong Shen
Summary: A transient-state BF model is developed to describe dynamic in-furnace phenomena, capturing the time-evolution of flow, thermal, and chemical behaviors. Application of the model to an industry-scale blast furnace reveals significant changes in reacting flow after hot burden charging, with notable impact on furnace productivity in the initial 8-10 hours.
CHEMICAL ENGINEERING SCIENCE
(2022)
Article
Engineering, Multidisciplinary
Guangtao Duan, Takuya Matsunaga, Seiichi Koshizuka, Akira Yamaguchi, Mikio Sakai
Summary: This study investigates the instability issue at a free surface in semi-implicit particle methods using consistent schemes based on variable differences. A semi-analytical error-analysis method is proposed to clarify how biased neighbor support triggers error accumulation and instability. New free-surface-detection conditions are proposed to reduce error accumulation and improve simulation stability.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Guangtao Duan, Mikio Sakai
Summary: The accurate modeling of surface tension on free surfaces remains a challenging problem in meshfree particle methods. This study aims to extend a recent methodology to 3D and restore the capability of simulating topological changes. A new particle shifting method and contact angle model are proposed to address the problems of fluctuated free-surface boundaries and dynamic intersection with a wall boundary. The developed method is validated through numerical examples and shows improvement compared to previous techniques.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Engineering, Chemical
Shuang Song, Liangwan Rong, Kejun Dong, Xuefei Liu, Pierre Le-Clech, Yansong Shen
Summary: The study developed a numerical model to simulate fluid flow through an asymmetric ceramic MF membrane and found that pore size and porosity are key parameters determining membrane permeability. By deriving a new intrinsic permeability function, the model can accurately predict membrane permeability.
JOURNAL OF MEMBRANE SCIENCE
(2022)
Article
Mechanics
Kotaro Tamura, Yuki Mori, Kazuya Takabatake, Mikio Sakai
Summary: Comprehension of wet particle behavior is crucial in science and engineering. This study demonstrates the superiority and adequacy of the geometrical approximation model in the discrete element method simulation for wet particles through modeling and experimental validation.
Review
Thermodynamics
He Yurong, Ren Anxing, Tang Tianqi, Wang Tianyu
Summary: This article provides a brief review of multi-scale numerical simulation of flow, heat and mass transfer behaviors in dense gas-solid flows, and discusses possible future developments in research on the flow, heat and mass transfer characteristics of dense gas-solid two-phase flows.
JOURNAL OF THERMAL SCIENCE
(2022)
Article
Engineering, Chemical
Shuo Li, Guangtao Duan, Mikio Sakai
Summary: This study proposes a nonintrusive reduced-order model (ROM-EL) for efficiently simulating gas-solid fluidized beds, and its effectiveness is demonstrated through validation studies. The proposed model significantly reduces the computational cost compared to the CFD-DEM method.
ADVANCED POWDER TECHNOLOGY
(2022)
Article
Engineering, Chemical
Shuo Li, Guangtao Duan, Mikio Sakai
Summary: In this study, the LPOD technique is incorporated into numerical simulations of particle systems to evaluate particle mixing and validate the adequacy of a coarse-grained DEM. The results demonstrate the importance of POD analysis in understanding particle system behavior and validating numerical simulations.
Article
Mechanics
Qi Shi, Mikio Sakai
Summary: Powder mixing is critical in various industries, and container blender is popular due to its easy manufacturing and convenient operation. However, the impact of air-particle interactions on powder mixing has not been scientifically understood. This novel study investigates the effects of particle size and air presence on powder mixing, clarifying the relationship between particle-fluid dynamics and mixing performance for the first time.
Article
Engineering, Chemical
Qing Han, Mengqing Shi, Linkai Han, Di Liu, Mingwei Tong, Yuxin Xie, Zhonghua Xiang
Summary: Developing highly efficient bifunctional oxygen electrocatalysts is crucial for zinc-air flow batteries. Metal-organic frameworks (MOFs) and covalent organic polymers (COPs) have emerged as promising alternatives due to their designable and controllable atomic-level structures. However, their catalytic performances are limited by conductivity and catalytic activity. In this study, nanosheet FeNi-MOF and iron phthalocyanine rich COP hybrid materials are assembled through the pi-pi stacking effect to create highly efficient bifunctional electrocatalysts. The resulting catalyst exhibits superior catalytic performance and stability, making it a promising candidate for zinc-air flow batteries.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Daria Grigorash, Dmytro Mihrin, Rene Wugt Larsen, Erling H. Stenby, Wei Yan
Summary: The article introduces a new approach to describe the cross-association between molecules, allowing for the simulation of weakly bound molecular complexes with different conformations in mixtures. By incorporating this approach into the equation of state, accurate predictions of vapor-liquid equilibrium and liquid-liquid equilibrium can be made. The new method is validated through experiments on alcohol and acid mixtures, with the results compared to experimental data, demonstrating its accuracy and reliability.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Mohammed Al-Sharabi, Daniel Markl, Vincenzino Vivacqua, Prince Bawuah, Natalie Maclean, Andrew P. E. York, Axel Zeitler
Summary: This study used terahertz pulsed imaging to investigate the transport process of different solvents into ceramic catalytic materials. The results showed that the heating rate of the samples influenced the water transport rate, while the viscosity of 1-octanol slowed down its transport.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Chukwunonso Anyaoku, Sati Bhattacharya, Rajarathinam Parthasarathy
Summary: This study aimed to enhance understanding of settling dynamics in viscoelastic fluids by developing a semi-empirical correlation and a dimensionless ratio, which accurately described the characteristics of settling suspensions.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Antti I. Koponen, Janika Viitala, Atsushi Tanaka, Baranivignesh Prakash, Olli-Ville Laukkanen, Ari Jasberg
Summary: This study focuses on the development of foam application chemicals for the paper and board industry. The research explores the rheology of the polyvinyl alcohol foam used in the process. Measurements were conducted to determine the foam viscosity and slip flow. The results suggest that slip flow contributes significantly to the total flow rate, and the obtained viscosity and slip models provide a solid foundation for industrial processes.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Dalei Sun, Jinghui Cai, Yating Yang, Zhiwu Liang
Summary: In this study, Fe-doped alpha-Bi2O3 catalysts with different Fe/Bi molar ratios were synthesized and utilized in the carbonylation of isobutyl amine with CO2. The results showed that Fe doping significantly enhanced the catalytic abilities of alpha-Bi2O3.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Yuan Tian, Xinxin Wang, Yanrong Liu, Wenping Hu
Summary: This paper predicts the solubility of nitrogen gas in ionic liquids (ILs) using two quantitative structure-property relationship (QSPR) models. By combining machine learning methods and ionic fragments contribution method, the accuracy and reliability of the prediction models are improved.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Liwang Wang, Wei Liu, Pan Yang, Yulong Chang, Xiaoxu Duan, Lingyu Xiao, Yaoming Hu, Jiwei Wu, Liang Ma, Hualin Wang
Summary: This study investigates the effective phase interfacial area (ae) of hydro-jet cyclones at different injection angles. The results show that a 45 degrees upward incidence angle yields the most favorable flow field characteristics for efficient mass transfer. The significant enhancement in ae of the hydro-jet cyclones offers the advantage of reducing equipment volume and cost savings.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Chuanjun Wu, Jiangzhi Chen, Jiyue Sun, I-Ming Chou, Shenghua Mei, Juezhi Lin, Lei Jiang
Summary: In this study, the solubility of H2S hydrate in water was measured using Raman spectroscopy. The results showed that the solubility increases with temperature under certain equilibrium conditions, and the solubility also depends on pressure and temperature under different equilibrium conditions. A thermodynamic model based on the van der Waals-Platteeuw theory was developed to predict the solubility, demonstrating its accuracy.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Lorenzo Brivio, Serena Meini, Mattia Sponchioni, Davide Moscatelli
Summary: This study investigates the influence of three main parameters and proposes a kinetic model to predict the optimal operating conditions for high yield of dimethyl terephthalate (DMT) in the chemical recycling process of polyethylene terephthalate (PET).
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Hongju Lin, Fanhui Liao, Yanchang Chu, Mingyu Xie, Lun Pan, Yuanyuan Wang, Lijian Leng, Donghai Xu, Le Yang, Gangfeng Ouyang
Summary: A honeycomb NiCo/C-Na catalyst with a micro-meso-macroporous structure has been fabricated and shown to have significantly higher catalytic activity for the decarboxylation of fatty acids. It also proves to be efficient in upgrading sludge HTL bio-crude, resulting in a biofuel with decreased viscosity and increased density.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Xiaoxian Li, Rui Li, Min Lin, Mingde Yang, Yulong Wu
Summary: A series of coated non-noble metal porous carbon catalysts were synthesized and applied to the aqueous-phase deoxygenation of algal bio-oil. One of the catalysts showed excellent deoxygenation selectivity and catalytic activity at 250 degrees C. The catalyst exhibited good hydrothermal stability and the reaction mechanism was proposed based on product analysis and active site analysis.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
M. V. Chudakova, M. V. Popov, P. A. Korovchenko, E. O. Pentsak, A. R. Latypova, P. B. Kurmashov, A. A. Pimenov, E. A. Tsilimbaeva, I. S. Levin, A. G. Bannov, A. V. Kleymenov
Summary: A series of catalysts with different potassium contents were prepared using solution combustion synthesis and characterized using various techniques. The results showed that the potassium content affected the phase composition and texture of the catalysts. The addition of a small amount of potassium resulted in a change in particle size distribution, leading to higher hydrogen yield. The Ni-1%K2O/Al2O3 catalyst exhibited the highest hydrogen yield at temperatures of 675 and 750 degrees Celsius.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Aliakbar Roosta, Nima Rezaei
Summary: In this study, we modified the electrolyte cubic plus association equation of state (e-CPA EoS) and integrated it with two electrical conductivity models to estimate the electrical conductivity of 11 monovalent electrolyte solutions in water. The modified e-CPA model demonstrated better performance and the hybridization with electrical conductivity models resulted in two predictive models for estimating the electrical conduction of dilute and concentrated electrolyte solutions. These predictive models showed relative average percentage deviations (AARD) of 11.15% and 13.87% over wide ranges of temperature and electrolyte concentration.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Haoren Niu, Jianzheng Wang, Qingzhu Jia, Qiang Wang, Jin Zhao, Fangyou Yan
Summary: A study developed two quantitative structure-property relationship models for the complexation performance of alpha- and beta-cyclodextrins and validated their stability and predictive ability through internal and external validation. The models showed robustness and satisfactory performance, as demonstrated by the experimental results and model validations. These models can effectively predict the binding constants between cyclodextrins and various types of molecules, providing valuable tools for cyclodextrin design.
CHEMICAL ENGINEERING SCIENCE
(2024)
