Engineering, Chemical

Article Engineering, Chemical

Enhanced electrochemically mediated calcium phosphate precipitation for phosphorus recovery simply by carbon felt barrier cathode

Shengkai Wang, Bingnan Song, Michel Saakes, Cees J. N. Buisman, Renata D. van der Weijden, Yang Lei

Summary: This study improved the performance of an electrochemical system for phosphorus removal by adding carbon felt, which resulted in higher removal efficiency with lower energy consumption. The phosphorus removal near the cathode was more efficient compared to the bulk solution. The retention of OH- ions and the functional groups on the carbon felt surface were the main reasons for the enhanced performance. By adjusting the stirring rate, the proportion of precipitation on the carbon felt or cathode could be controlled, reducing scaling on the cathode and maintaining high removal efficiency. In addition, there was a specific correlation between phosphorus removal and pH, which could be estimated by measuring the effluent pH. This study provides a simple and efficient method for enhancing electrochemical phosphorus recovery.

SEPARATION AND PURIFICATION TECHNOLOGY (2024)

Article Engineering, Chemical

Improvement of waste sludge dewaterability by a novel co-conditioning approach with polyaluminum chloride-sludge based carbon-polyacrylamide

Taishan Liu, Xinyang Zhang, Guangchao Ding, Songgeng Li

Summary: This study proposes a novel sludge conditioning method incorporating sludge-based carbon (SBC) to improve sludge dewaterability. The co-conditioning method effectively reduces specific resistance to filtration, moisture content of the filter cake, and sludge compressibility coefficient, while increasing the net sludge solids yield. The mechanism involves a synergistic effect of coagulation, adsorption, and flocculation, with SBC optimizing coagulation by electrostatic neutralization and strengthening flocculation by bridging biopolymers and PAM.

SEPARATION AND PURIFICATION TECHNOLOGY (2024)

Article Engineering, Chemical

Experimental investigation about the incipient velocity of spherical particles on a hemispherical bed surface

Chuannan Li, Jie Chen, Changbo Jiang, Xie Li, Zhiyuan Wu

Summary: This research investigates the incipient velocity of observation particles in two particle arrangements through water tunnel experiments. It proposes an equation based on the rolling instability mechanism to accurately predict the incipient velocity. The dispersive pressure is closely related to the flow state, particle size, and particle arrangement, and the interference particle angle of 45 degrees results in the minimum incipient velocity. The particle spacing and projected area directly influence the incipient velocity of observed particles.

PARTICUOLOGY (2024)

Article Engineering, Chemical

DEM analysis of the influence of stirrer design on die filling with forced powder feeding

Chao Zheng, Edward Yost, Ariel R. Muliadi, Nicolin Govender, Ling Zhang, Chuan-Yu Wu

Summary: This paper analyzes the die filling process using a discrete element method, and evaluates the influence of different stirrer designs on the filling performance. The results show that the helical-ribbon stirrer design exhibits the highest filling ratio and is the most robust design. Furthermore, the stirrer speed and filling speed have an impact on the filling performance.

PARTICUOLOGY (2024)

Article Engineering, Chemical

Glutamate oxidase-integrated biomimetic Fe3O4 hybrids as cascade nanozymes for glutamate detection

Peikun Li, Yanchao Wang, Xiuyan Luo, Zixin Geng, Jiahui Jia, Ruirui Wang, Jiandong Cui, Hongjie Bian, Shiru Jia

Summary: A new nanozyme/natural enzyme hybrid biosensor was developed for ultrasensitive detection of L-glutamic acid (L-Glu). Fe3O4 nanoparticles with peroxidase-like activity and stability were used as a nanozyme and carrier to immobilize L-Glutamate oxidase (GLOD), forming a chem-enzyme cascade detector. The Fe3O4-GOLD showed a wide linear range and low detection limit, as well as excellent stability.

PARTICUOLOGY (2024)

Article Engineering, Chemical

Study on preparation, characterization and application of mixed-colorants thermochromic microcapsules

Lan Zhou, Jingpeng Ye, Qinze Cai, Guojin Liu, Mehran Dadgar, Guocheng Zhu, Guoqing Zhang

Summary: A new formulation of mixed-colorants thermochromic core material is designed to expand the color-change range and make the discoloration temperature suitable for daily textiles. The morphology, encapsulation rate, non-isothermal crystallization behavior, and thermal stability of the MCTMs prepared by in-situ polymerization were studied using SEM, DSC, and TGA. The results show that MCTMs have good sphericity, uniform particle size, good thermal stability, and can achieve reliable and durable reversible color change.

PARTICUOLOGY (2024)

Article Engineering, Chemical

Research on the macro- and meso-mechanical properties of frozen sand mold based on Hertz-Mindlin with Bonding model

Jianpei Shi, Zhongde Shan, Haoqin Yang

Summary: In this study, the macro- and meso-mechanical properties of frozen sand molds were discussed using the HMB model. A parameter calibration methodology was proposed and the effects of mesoscopic parameter variations on the compressive strength and stress-strain gradient were investigated. The study also verified the reliability and effectiveness of the frozen sand mold HMB model through compression tests and simulations.

PARTICUOLOGY (2024)

Article Engineering, Chemical

Experimental investigation of radiative heat propagation in a simplified generic packed bed

Matthias Tyslik, Lukas Poertner, Siegmar Wirtz, Martin Schiemann

Summary: A novel test rig for investigating radiative heat transfer in packed beds is introduced, along with experimental results. The rig uses parallel rods to represent particles in a simplified manner, and employs various techniques such as thermocouples and infrared imaging to gather detailed information about heat transfer. The results demonstrate that different surface properties of particles significantly influence heat propagation and surface reflections.

PARTICUOLOGY (2024)

Article Engineering, Chemical

Clarification of the dispersion mechanism of cathode slurry of lithium-ion battery under effects of both poly vinylidene fluoride/ carbon black ratio and mixing time

Zhilong Wang, Zhenzhen Zhao, Ye Yang, An Zhang, Xiayi Liu, Tong Zhao, Yahui Cui

Summary: This paper presents the effects of PVDF/CB ratio and mixing time on the dispersion mechanism of the cathode slurry of lithium-ion battery. The study reveals that under specific conditions, a stable gel structure and conductive network can be formed, which can improve the performance of the battery.

PARTICUOLOGY (2024)

Article Engineering, Chemical

A refined representation method of the particle size distribution curve based on grading entropy

Xing Li, Qun Chen, Zhaozhao Liu, Cheng Zhou, Chen Wang, Chen Chen

Summary: The particle size distribution (PSD) curve is an important expression of soil properties. However, existing characteristic parameters can only represent some points of the curve and fail to capture all the information. This paper introduces a new fraction characteristic parameter based on grading entropy and proposes a refined presentation method for the PSD curve. The new method not only represents the differences in curve width more accurately but also has higher discrimination ability. The application of this method in describing deposit distribution and predicting soil hydraulic conductivity is discussed. The research results can provide reference for the refined representation of PSD curves.

PARTICUOLOGY (2024)

Article Engineering, Chemical

A simulation study on spatial and time resolution for a cost-effective positron emission particle tracking system

Josephine Oppotsch, Matthias Steinke, Miriam Fritsch, Fritz -Herbert Heinsius, Thomas Held, Nikoline Hilse, Viktor Scherer, Ulrich Wiedner

Summary: This work is the second part of a simulation study on processing densely packed and moving granular assemblies using PEPT. A cost-effective PET-like detector system is being developed to overcome the high cost of PET scanners commonly used for PEPT. Monte Carlo simulations and Geant4 software were used to study the spatial resolution of different scenarios, and it was found that oversampling and iteration improved the resolution significantly.

PARTICUOLOGY (2024)

Article Engineering, Chemical

Temperature influence on minimum fluidization velocity: Complexity, mechanism, and solutions

Qingjin Zhang, Liangliang Fu, Guangwen Xu, Dingrong Bai

Summary: This study comprehensively analyzes the temperature effect on the minimum fluidization velocity (Umf) in fluidized-bed reactors. The analysis reveals the influence of temperature on Umf is determined by the relative importance of hydrodynamic forces and interparticle forces, which result in changes in gas properties, bed voidage, and physiochemical characteristics of particles. An equation is derived to predict the temperature influences on Umf under broad temperature conditions.

PARTICUOLOGY (2024)

Article Engineering, Chemical

Transient flameout process of boron-magnesium agglomerates during combustion in oxygen-rich atmospheres

Lian Duan, Zhixun Xia, Yunchao Feng, Binbin Chen, Likun Ma, Jianxin Hu

Summary: In this study, boron-magnesium agglomerates with varying mass ratios were prepared and the combustion process of these agglomerates under different oxygen-rich concentrations were investigated. The results showed that when the mass fraction of magnesium powder in boron-magnesium agglomerates exceeded a certain threshold, a transient flameout process occurred. This process is affected by the magnesium content of the agglomerate and the oxygen concentration in the ambient atmosphere.

PARTICUOLOGY (2024)

Article Engineering, Chemical

Simulation and analysis of soil homogenization drills based on discrete element method and response surface methodology

Zhipeng Wang, Tong Zhu, Youzhao Wang, Song Yang, Feng Ma, Xu Li

Summary: This study improves the efficiency of in-situ soil remediation by designing and optimizing a three-stage soil remediation auger, providing reference for the design of in-situ homogenization equipment.

PARTICUOLOGY (2024)

Article Engineering, Chemical

Material characterization and inter/intra-particle validation for DEM simulation of urea coating process

Salma A. Nouh, Kuzilati Kushaari, Lau Kok Keong, Shafirah Samsuri

Summary: This study experimentally estimated the mechanical properties of urea granules and simulated the particle coating process using discrete element method. The results showed that the coating film thickness is proportional to the rotation speed and the spray rate, filling ratio, and spray angle significantly affect the coating uniformity.

PARTICUOLOGY (2024)

Review Engineering, Chemical

Insights into adsorbent tortuosity across aqueous adsorption systems

Ackmez Mudhoo, Marta Otero, Khim Hoong Chu

Summary: Pore network, pore connectivity, and effective adsorbate pore diffusivity are crucial in mass transport modeling of aqueous adsorption. Adsorbent tortuosity and tortuosity factor concepts are related to these adsorbent features and hinder intra-adsorbent adsorbate transport. Understanding the complex connections among adsorbate chemistry, adsorbent chemistry, adsorbent porosity, pore shape, size, and tortuosity is important for water treatment specialists. This review provides insights into adsorbent tortuosity for aqueous adsorption systems and highlights the need for further research on dynamic attributes.

PARTICUOLOGY (2024)

Article Engineering, Chemical

Simulation of the deformable lateral boundaries in biaxial test using DEM

Ali Momeni, Barry Clarke, Yong Sheng, Ali Hassanpour

Summary: Applying the discrete element method (DEM) in soil mechanics can provide detailed information on the particle scale and help understand the macro-mechanical behavior of soils. This paper focuses on the representation and impact of lateral boundary conditions on the behavior of soil samples in biaxial tests. The results show that lateral boundary conditions play a significant role in the fabric properties, shear band characteristics, and stress-strain behavior of granular soils.

PARTICUOLOGY (2024)

Article Engineering, Chemical

Gravity-driven powder flow and the influence of external vibration on flow characteristics

Muhammad Shahid Ansari, Ratna Kumar Annabattula, Sathyan Subbiah

Summary: In this study, the influence of external mechanical vibration on the flow of powdered particles is investigated. The results show that increasing the vibration amplitude can increase the mass flow rate, but there is an optimal vibration amplitude. Additionally, the study examines the effects of vibration frequency, hopper, and particle dimension on the flow characteristics.

PARTICUOLOGY (2024)

Article Engineering, Chemical

Waste to treasure: Reutilization of fluid catalytic cracking coke block as photothermal conversion material for water evaporation

Zhuwei Gao, Chengxin Li, Jingjing He, Zhuo Wang, Xinyu Qi, Lan He, Shihao Wang, Zhongxin Liu

Summary: This study aims to analyze the coking process and propose an effective method for the reutilization of fluid catalytic cracking (FCC) coke block. The main components of FCC coke blocks are carbon, oxygen, and aluminum. The physical cause of coking is the condensation of oil-gas-entrained catalyst particles and their heavy components, while the chemical factor is the dehydrogenation condensation reaction of oil-gas heavy components. The membrane prepared by powdered coke has excellent photothermal conversion ability and can have industrial application potential.

PARTICUOLOGY (2024)

Article Engineering, Chemical

Kinetic model of vibration screening for granular materials based on biological neural network

Zhan Zhao, Yan Zhang, Fang Qin, Mingzhi Jin

Summary: The kinetic model is used to optimize the structure and performance of vibration screening devices. This study establishes a biological neurodynamic equation and neural connections to simulate the material distribution during vibration screening. By comparing different methods of material distribution, the optimum coefficients of the biological neural network (BNN) model are determined and predicted using adaptive neuro-fuzzy inference systems (ANFIS).

PARTICUOLOGY (2024)