Article
Engineering, Chemical
Siqiang Wang, Dongfang Liang, Shunying Ji
Summary: This study analyzes the mixing behaviors of concave-shaped granular materials within a horizontal drum and finds that concave particles have higher coordination numbers, closer contact patterns, greater collision forces, and lower mixability.
Article
Engineering, Chemical
Sunil Kumar, Salma Khatoon, Praveen Dubey, Jeetram Yogi, Anshu Anand
Summary: This study investigates the influence of particle shape on the segregation behavior of binary mixtures in a rotating drum. The results show that coarse particles with lower packing density exhibit higher segregation, while fine particles with pronounced elongation facilitate mixing.
Article
Engineering, Chemical
Bowen Liu, Qing Wang, Zongyan Zhou, Ruiping Zou
Summary: This study investigates the performance of baffles in internally heated rotating drums using the discrete element method (DEM). The results show that a central cross baffle improves mixing and heat transfer significantly, while a peripheral baffle generally weakens the performance.
Article
Engineering, Chemical
Lei Xie, Shuyan Wang, Baoli Shao, Xi Chen, Nuo Ding, Yimei Ma
Summary: This paper applies the Discrete Element Method (DEM) to study the radial mixing and segregation of ellipsoidal particles with different densities in a rotating drum. The results show that light particles tend to accumulate at the periphery of the granular bed, while heavy particles concentrate in the center area. Particle shape affects collision probability and strength, and ellipsoidal particles require more energy for movement.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2023)
Article
Engineering, Chemical
Meng Li, Xizhong An
Summary: This study conducted a systematic numerical investigation on the mixing characteristics and flow behaviors of Platonic solids (tetrahedra, cubes, octahedra, dodecahedra, icosahedra) in a rotating drum using the discrete element method. The research found that the rotation speed and shape of the Platonic solids have significant effects on the mixing characteristics, macroscopic properties, and microscopic properties. The mixing rate decreases and then increases with the increase of the face number of Platonic solids, and the average packing density is higher for Platonic solids with larger sphericity. The interlocking effect of cubes is not obvious, resulting in freer movement and stronger diffusive mixing in the drum.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2023)
Article
Multidisciplinary Sciences
Vicente Salinas, Cristobal Quininao, Sebastian Gonzalez, Gustavo Castillo
Summary: This study investigates the role of small-scale perturbations in the onset of avalanches in a rotating drum in the stick-slip regime. It shows that the order parameter describing the system is kinetic energy and that the onset of avalanche is determined by oscillation amplitude for high frequencies. A theoretical model is presented to explain the transition between continuous and discrete avalanche regimes as a supercritical Hopf bifurcation.
SCIENTIFIC REPORTS
(2021)
Article
Mathematics, Interdisciplinary Applications
Xiangwu Xiao, Jia Zhan, Shengqiang Jiang, Ruitao Peng, Guodong Cao, Rui Chen, Yue Luo, Liang Su
Summary: This study simulated the mixing process of sand and gravel in a rotating drum using the discrete element method and investigated the quantitative relationship between mixing uniformity and rotation speed, material filling rate, and distance of rods inside the drum. The results showed that rotation speed had the greatest impact on mixing uniformity, followed by the distance of rods, while the material filling rate had a minor influence. The interaction between the factors also significantly affected the mixing uniformity.
COMPUTATIONAL PARTICLE MECHANICS
(2023)
Article
Engineering, Chemical
Shengan Deng, Zhi Wen, Fuyong Su, Zhaoyu Wang, Guofeng Lou, Xunliang Liu, Ruifeng Dou
Summary: This study proposed a new technology to recover waste heat from slag particles using a drum apparatus. It found significant impacts of slag size distribution on the mixing process under different circumstances, and the new mixing criteria accurately evaluated the mixing time of granular bed.
Article
Engineering, Chemical
Siqiang Wang, Zongyan Zhou, Shunying Ji
Summary: The study reveals that the segregation behavior of granular materials is influenced by particle shape, standard deviation of the mixture, and rotating speed. Small and large particles tend to be distributed in the center and periphery of the drum, while medium-sized particles are evenly distributed in the system.
Article
Engineering, Chemical
Dan Li, Xin Xu, Juhui Chen, Kai Yang, Xianli Liu, Liu Yang
Summary: The study predicted the flow behavior of binary-sized particles in rotating cylinders using the discrete element method. The results indicated that the mixing degree of binary-sized particles is influenced by flattening and particle diameter.
Article
Engineering, Chemical
Meng Li, Yuhang Wu, Yunqiang Qian, Xizhong An, Huanyu Li
Summary: In this study, the mixing process and flow behavior of different-shaped sphero-cylinders in a rotating drum were numerically investigated. It was found that sphero-cylinders of different aspect ratios can reach well-mixed states under sufficient rotation conditions, with the flow behavior influenced by rotation speed and AR.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2021)
Article
Engineering, Chemical
Ran Li, Wenzheng Xiu, Baolin Liu, Gang Zheng, Hui Yang
Summary: Research on the flow of rice particles has shown that it differs from classical spherical particles, often exhibiting multiple velocity peaks. Lowering the rotation speed of the drum can change the flow into an avalanche mode, where particles slide and cover the entire rice particle bed.
Article
Mathematics, Interdisciplinary Applications
Christine Beaulieu, David Vidal, Carine Niyonkuru, Anthony Wachs, Jamal Chaouki, Francois Bertrand
Summary: The study shows that segregation decreases with increasing particle shape angularity at the same rotational speed. Different-shaped particles exhibit the same sequence of segregation patterns as rotational speed increases, but the transition speed thresholds are shape-dependent.
COMPUTATIONAL PARTICLE MECHANICS
(2022)
Article
Engineering, Chemical
Sunil Kumar, Salma Khatoon, Jeetram Yogi, Sanjay Kumar Verma, Anshu Anand
Summary: The current investigation focuses on studying the impact of particle shape on the segregation of a bi-disperse mixture of particles in a rotating drum. Various particle parameters such as shape, size, density, and size ratio, as well as system parameters like time and rotational speed, are examined. The results indicate that both the shape of coarse and fine particles influence the mixing process. The choice of particle shape can be used to control segregation in different industrial scenarios.
Article
Engineering, Chemical
G. R. Chandratilleke, X. Jin, Y. S. Shen
Summary: The study uses the discrete element method to investigate the effects of particle size and density on mixing in ribbon mixers. Results show that mixing rate generally slows down with reduced particle size at a given density. The impeller torque is also influenced by particle size and density.
Article
Engineering, Chemical
Rezwana Rahman, Haiping Zhu, Aibing Yu
Summary: This paper presents a numerical study on the gas-solid flow in a rotating drum to investigate the influence of specularity coefficient and restitution coefficient on the hydrodynamic behavior of particles during the segregation process. The results reveal that the boundary condition and restitution coefficient have significant effects on the hydrodynamics of the particles, with an increase in specularity coefficient leading to increased depth of the active region, angle of repose, granular pressure, and granular temperature. With an increasing restitution coefficient, the angle of repose decreases while the granular pressure and temperature increase at the same volume fraction for both small and large particles.
Article
Energy & Fuels
Jun Wang, Jiangting Wang, Guisheng Zhu, Huarui Xu, Xiuyun Zhang, Yunyun Zhao, Jian Zhang, Kunpeng Jiang, Aibing Yu
Summary: The foam-structured NiCo2S4 (FSNCS) material was successfully synthesized with the addition of SiO2 nanospheres as the framework, leading to reduced dead volume. The FSNCS exhibited high capacity and energy density in the supercapacitor, along with good cyclic life.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Engineering, Chemical
Liuyimei Yang, Qijun Zheng, Aibing Yu
Summary: This article proposes a continuum-based model for the process of blending powders using stirring blades. The model accurately describes the tempo-spatial distribution of small/large particles in the stirring process and captures the various intricate effects of blade parameters. It shows promise for optimizing blade mixers in industries.
Review
Engineering, Chemical
Erlei Li, Zongyan Zhou, Lin Wang, Ruiping Zou, Aibing Yu
Summary: This paper provides a review of the multi-physics problems involved in laser powder bed fusion (LPBF), including metal powder recoating, melting and solidification processes. The applications of discrete element method and computational fluid dynamics in studying these processes are discussed.
Review
Engineering, Chemical
Huibin Xu, Weiyu Wang, Chi Ma, Wenqi Zhong, Aibing Yu
Summary: This article reviews the recent studies on the fluidization characteristics of wet particles in fluidized beds and spouted beds, including physical experiments and numerical simulations. The findings of these studies are important for the industrial applications of wet particle fluidization, aiding in the scale-up, design, and optimization of processes. The focus of the physical experiments is on the development of new measurement methods and related findings, while the focus of the numerical simulations is on the development of discrete element method (DEM) to provide new insights into wet particle fluidization at the particle scale. The challenges and needs for future research on wet particle fluidization are also discussed.
Article
Engineering, Chemical
Jun He, Minshu Zhan, Baoyu Guo, Lihua Liu, Aibing Yu
Summary: The study numerically investigates the impact of different operational conditions at the inlets of OVD on SiO2 deposition efficiency and quality. Results show that adjusting the flow rate of SiCl4/O2 and the type of carrier gas can effectively alter the deposition efficiency and quality of SiO2 particles.
Article
Engineering, Chemical
Jieqing Gan, Zongyan Zhou, Aibing Yu, Dean Ellis, Reece Attwood, Wei Chen
Summary: Multibody dynamics (MBD) simulation is a useful tool for analyzing the kinematic function of multibody systems, while discrete element method (DEM) is commonly used for simulating particle flows and overall processes. Combining MBD and DEM methods through functional mock-up interface (FMI) co-simulation can predict equipment performance by considering both material and equipment behavior. This study utilized Dymola software to perform MBD and FMI co-simulations, developing MBD models for a hydraulic excavator system and GPU-based DEM models for excavator digging cycles. The results demonstrated the significant impact of solid materials on excavator movement.
Article
Engineering, Environmental
Minshu Zhan, Jun He, Baoyu Guo, Lihua Liu, Aibing Yu
Summary: This study proposes an Eulerian-Eulerian multiphase model based on CFD to simulate the physico-chemical behavior in the OVD process. It successfully captures the transport phenomena and provides a deep understanding of the growth and deposition mechanisms of SiO2 in the OVD process.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Engineering, Chemical
Lingling Liu, Shibo Kuang, Baoyu Guo, Aibing Yu
Summary: Optimization of ironmaking blast furnaces involves considering bottom and top operations. A recently developed integrated BF model and numerical orthogonal experiments are used to predict BF performance indicators and conduct multi-objective optimization and operatable zone identification.
CHEMIE INGENIEUR TECHNIK
(2023)
Article
Energy & Fuels
Lingling Liu, Shibo Kuang, Baoyu Guo, Aibing Yu
Summary: Oxygen blast furnace (OBF) is a low carbon ironmaking technology that suffers from high gas flame temperature. Injecting COREX off-gas (CROG) into the industrial BF can improve coal combustion and overall performance. The optimum injection rate of CROG helps achieve better fuel economy by enhancing indirect reduction and coke combustion.
Article
Engineering, Chemical
E. Dianyu, Haihan Fan, Zhongfang Su, Guangtai Xu, Ruiping Zou, Aibing Yu, Shibo Kuang
Summary: This paper proposes a hydrocyclone with a tapered inlet design to reduce the influence of particles misplacement. The new hydrocyclone integrates the advantages of both spiral inlet and tangential inlet. Through the analysis of separation performance, flow characteristics, and volume fraction distributions, an optimum design is identified. Compared to a standard hydrocyclone, the new design significantly improves tangential velocities, expands the locus of zero vertical velocity, and achieves more stable air core, symmetric radial and axial velocity distributions, as well as reduced eddy flow and short-circuit flow. This study offers a new perspective for improving hydrocyclone flows and performance.
Article
Chemistry, Multidisciplinary
Yang Zhang, Danjiao Zhao, Lei Cao, Lanlan Fan, Aiping Lin, Shufen Wang, Feng Gu, Aibing Yu
Summary: Flexible strain sensors are crucial for public healthcare as they can noninvasively monitor vital health signals. In this study, we developed structurally integrated 3D conductive networks-based flexible strain sensors using a droplet-based aerosol jet printing process and a transfer process. The sensors showed enhanced conduction and mechanical properties during stretching, and demonstrated effective responses to human movements such as finger bending and arm bending. Our findings highlight the potential of droplet-based aerosol jet printing for advanced flexible devices in optoelectronics and wearable electronics applications.
Article
Engineering, Chemical
Yifan Qin, Xiao Dong Chen, Aibing Yu, Jie Xiao
Summary: Mathematical modeling of mass transfer and absorption in the small intestine is challenging and requires a reliable and computationally efficient predictive model. This study derives an absorption model that considers the 3D intestinal inner wall structure and can be used in a 1D distributed model. Computational fluid dynamics simulations are used to quantify the mass-transfer coefficient. The model provides insights into the influence of intestinal morphology and motility on mass transfer and absorption.
Article
Energy & Fuels
E. Dianyu, Peng Zhou, Langyong Ji, Jiaxin Cui, Qiang Xu, Liejin Guo, Aibing Yu
Summary: In this study, a validated CFD-DEM model is used to investigate the dynamics, microstructure, and thermochemical behaviors in the raceway of a blast furnace with hydrogen injection operations. The effects of hydrogen injection concentration on raceway size, gas temperature, and components are studied.
Article
Pharmacology & Pharmacy
Hao Miao, Ke Huang, Yingwen Li, Renjie Li, Xudong Zhou, Jingyu Shi, Zhenbo Tong, Zhenhua Sun, Aibing Yu
Summary: In this study, the LNP formulation, atomization methods, and buffer system were optimized to maintain stability and efficiency of mRNA encapsulated LNPs during the atomization process. A suitable LNP formulation for atomization, AX4, DSPC, cholesterol, and DMG-PEG2K at a 35/16/46.5/2.5 (%) molar ratio, was identified based on in vitro experiments. Soft mist inhaler (SMI) was found to be the most suitable method for pulmonary delivery of mRNA encapsulated LNPs. The physico-chemical properties of the LNPs, such as size and entrapment efficiency, were further improved by adjusting the buffer system with trehalose. In vivo fluorescence imaging of mice demonstrated the potential of SMI with proper LNPs design and buffer system for inhaled mRNA-LNP therapies.
INTERNATIONAL JOURNAL OF PHARMACEUTICS
(2023)
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)
