Article
Engineering, Chemical
Jeetram Yogi, Praveen Dubey, Sanjay Kumar Verma, Sunil Kumar, Anshu Anand
Summary: This study investigates the influence of particle properties (shape, size, and density) on mixing behavior in a vibrated packed bed mixer for binary and ternary mixtures, using the subdomain mixing index. Two different regimes, percolation and buoyancy control, are identified based on the segregation parameter (Z) value. The Z value combines the effects of various particle properties. The subdomain mixing index is strongly correlated with the segregation parameter. The study finds that in binary mixtures, reducing the density of coarse particles reduces mixing, while reducing the density of fine particles enhances mixing. The segregation behavior of nonspherical particles indicates that shape-induced segregation is not the dominant factor, but nonspherical particles exhibit better mixing than spherical particles.
Article
Energy & Fuels
Biao Xie, Xinghua Zhang, Shaocheng Ge, Leilei Si, Dengkui Zhu, Jingjing Yu, Shengyong Hu
Summary: The hygroscopicity of coal powder is influenced by factors such as particle size, temperature, and relative humidity. Increasing particle size leads to a decrease in maximum moisture adsorption capacity and an increase in effective moisture adsorption time. Higher relative humidity significantly increases the maximum moisture adsorption capacity of coal powder. Different ranks of coal powders exhibit varying degrees of hygroscopicity, with low-rank coal showing the strongest water absorption ability. This study provides valuable insights for evaluating the moisture status, transportation efficiency, and combustion performance of coal powder.
Article
Engineering, Chemical
Tomonari Misawa, Yoshiki Yonamoto
Summary: Particle-processing industries require accurate and reliable monitoring techniques for particle-size distribution. An imaging-based monitoring system is proposed to extend the detectable particle size range towards the submicron level by combining particle-shade and scattered-light imaging. The system consists of newly developed optics and an analysis algorithm.
Article
Engineering, Chemical
Gourav Saluja, S. S. Mallick, Sujay Karmakar
Summary: Based on the conveying results of 13 different powders, this paper has developed a new empirical model for the minimum transport boundary, which provides a significantly improved prediction compared to existing models. The new model includes a Froude number based on particle size and bulk density, and a dimensionless gas density term, making it adaptable to variations in powder properties and operating conditions.
PARTICULATE SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Chemical
Wookyung Kim, Rinrin Saeki, Yasuko Ueno, Tomoyuki Johzaki, Takuma Endo, Kwangseok Choi
Summary: The effect of particle size on the minimum ignition energy (MIE) of aluminum dust clouds is explored using the MIKE 3 apparatus. The study reveals that smaller particle sizes result in lower MIE values. The relationship between d(p)(3) and MIE for micron-sized and larger aluminum particles aligns with theoretical predictions. However, for particle sizes approximately <10 μm, a relationship between d(p)(0.5) and MIE for 30 nm < d(p) < 10 μm is observed. This study confirms the dependence of MIE on particle size for aluminum dust clouds, with MIE similar to d(p)(3) in diffusion-controlled regimes and MIE similar to d(p)(0.5) in kinetic-controlled regimes.
Article
Biochemistry & Molecular Biology
Zixuan Yang, Dan Xu, Hongling Zhou, Fengfeng Wu, Xueming Xu
Summary: This study investigated the effects of starch and gluten on the physicochemical properties of frozen dough using reconstituted flour. The results showed that starch played a crucial role in the mixing properties, while smaller wheat starch granules had a greater impact on the gluten network.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2022)
Article
Engineering, Chemical
Frank C. De Lucia, Lily Giri, Rose A. Pesce-Rodriguez, Chi-Chin Wu, Steven W. Dean, Trenton M. Tovar, Rosario C. Sausa, Elliot R. Wainwright, Jennifer L. Gottfried
Summary: This study characterized nine commercial aluminum powders using various methods and found that they were more heterogeneous than expected in terms of particle size distributions and impurities. Manufacturer specifications were not always accurate for the specific sample lots investigated. A combination of multiple techniques provided a clearer picture of the powder properties. Thorough characterization of aluminum powders is necessary before interpreting experimental results to avoid contradictory findings.
Article
Mechanics
Kun Li, Chiya Savari, Hamzah A. Sheikh, Mostafa Barigou
Summary: A novel and computationally efficient machine learning framework has been developed to construct turbulent flow fields in mechanically agitated vessels. By feeding a short-term experimental trajectory, the framework predicts flow dynamics using a supervised k-nearest neighbors regressor learning algorithm and a Gaussian process. The ML framework has shown good agreement with experimental data, making it a powerful tool for analyzing and modeling multiphase flow systems.
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
Frank C. De Lucia, Steven W. Dean, Jennifer L. Gottfried
Summary: In this study, we used nanosecond laser pulses to rapidly heat aluminum powders and analyzed the oxidation process by monitoring AlO emission. The results showed that nanoscale aluminum powders released energy at a faster rate, as indicated by the increased shock velocities.
Article
Food Science & Technology
Alexandra Grygorczyk, Amy Blake
Summary: In recent years, there has been an increased interest in environmentally-friendly and sustainable foods, including upcycled ingredients. However, some of these ingredients can result in a gritty texture, affecting consumer acceptance. This study used apple pomace powder (APP), a byproduct of apple juice and cider processing, to investigate particle perception in upcycled foods. The results demonstrated that by reducing particle size, APP can be used in smoother products without introducing grittiness. However, there was a significant individual variability in particle size detection thresholds, which presents both opportunities and challenges for product developers.
FOOD QUALITY AND PREFERENCE
(2023)
Article
Engineering, Mechanical
Meng Li, Chao Voon Samuel Lim, Ruiping Zou, Xizhong An, Defeng Wang
Summary: The densification behavior and mechanisms of Ti6Al4V powders during hot isostatic pressing (HIP) were systematically simulated, revealing the influence of different powder types and size ratios on the compact properties.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2021)
Article
Engineering, Chemical
Di Weng, Sheng-Hua Zha, Yuan Zhu, Hang Li, Shou-Bu Hou, Qing-Sheng Zhao, Bing Zhao
Summary: This study prepared Forsythia suspensa leaf powder using ball milling, which resulted in a decrease in particle size and improved solubility and antioxidant activity.
Article
Engineering, Chemical
Daniele Sofia, Domenico Macri, Diego Barletta, Paola Lettieri, Massimo Poletto
Summary: This study examines the selective laser sintering of Titania powders to understand the impact of initial material properties and process conditions on the degree of sintering/melting and mechanical properties of the produced semi-3D artefact. Experimenting with different particle sizes, the research evaluates the effects of process variables such as laser power and scan speed on product properties, and uses measured tensile strength to estimate the size of sintered necks. Results are compared with values predicted by literature models to provide insights into the SLS process.
Article
Chemistry, Physical
Aaron O'Sullivan, Kevin M. Ryan, Luis Padrela
Summary: The inability of many biopharmaceutical formulations to retain their structure and integrity when in solution is a major issue. Producing dried solid dosage forms, such as proteins and nucleic acids, improves their storage, transport, and administration. Spray drying and supercritical fluid drying are promising drying techniques that offer different particle sizes and morphologies, enhancing the stability of the final product.
JOURNAL OF SUPERCRITICAL FLUIDS
(2022)
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)