PARTICUOLOGY

#PARTICUOLOGY Special Issue Article ✨   Acoustic emission and machine learning algorithms for particle size analysis in gas-solid fluidized bed reactors (#OpenAccess) By Fria Hossein*, Matteo Errigo, Sibo CHENG, Massimiliano Materazzi, Paola Lettieri FREng, Rossella Arcucci, Panagiota Angeli UCL, UK CEREA, Ecole des Ponts ParisTech & EdF R&D, France Imperial College London, UK https://lnkd.in/eu8Z2pbd In this work, a combination of an #AcousticEmission (AE) technique and a #MachineLearning (ML) algorithm is developed to characterize the particle size distribution in gas-solid fluidized bed reactors. An AE signal is generated in gas-solid fluidized beds due to the collision and friction between fluidized particles as well as between particles and the bed inner wall. An inversion algorithm is used to extract the information about the particle size starting from the energy of the AE signal. Combining this AE technique with ML algorithms is beneficial for applications to industrial settings, reducing the cost of signal post-processing. Experiments were conducted in a pseudo-2D flat fluidized bed with four glass bead samples, with sizes ranging from 100 μm to 710 μm. AE signals were recorded with a sampling frequency of 5 MHz. For the machine learning process, the AE frequency, AE energy and particle collision velocity data sets were divided into training (60%), cross-validation (20%) and test sets (20%). Two ensemble ML approaches, namely #RandomForest and #GradientBoostingRegressor, are applied to predict particle sizes based on the AE signal features. The combination of these two models results in a coefficient of determination (R2) value greater than 0.94. This paper is included in the special issue "#ImageIsEverything". The guest editors are Dr. Kit Windows-Yule and Professor Jonathan Seville from University of Birmingham, UK, Dr. Kay Buist and Dr. Giulia Finotello from Eindhoven University of Technology, Netherlands, and Dr. Kia Taghizadeh from University of Stuttgart, Germany. #Acoustics #AcousticEmission #ParticleSizeDistribution #FluidizedBed #Inversion #InversionAlgorithm #MachinieLearning #ElasticWave #RandomForest #GradientBoostingRegressor

#PARTICUOLOGY Special Issue Article ✨   Continuous chute-flow rheometer: A multi-modal approach to dense granular flows By Kayli Lynn Henry, Zhengpu Chen, Carl Wassgren, Paul Mort* Purdue University, USA https://lnkd.in/egHtjwBq This study describes a model-directed experimental approach toward the measurement of dense granular rheology. It used a concentric cylinder rheometer tilted along an axis, essentially a chute flow where applied shear can further affect the continuous dense flow of granular media. Experiments were done using draining flows over a range of shear rates imposed by the concentric rotor within the device. Multiple sensors were used to investigate the interaction of holdup mass, shear rate, specific torque, particle velocity, and discharge mass flow rate. Wall slip at the rotor was inferred from particle velocity measurements. With increasing shear rate, gradual increases in flow rate were observed combined with increased specific torque and wall slip. A sharp transition between quasi-static and dense-inertial regimes was not observed with this device; instead, the observed increase in specific torque was gradual with an apparent asymptotic limit, suggesting a pump-curve analogy where the outlet mass flow rate was controlled as a function of orthogonal shear. This paper is included in the special issue "#ImageIsEverything". The guest editors are Dr. Kit Windows-Yule and Professor Jonathan Seville from University of Birmingham, UK, Dr. Kay Buist and Dr. Giulia Finotello from Eindhoven University of Technology, Netherlands, and Dr. Kia Taghizadeh from University of Stuttgart, Germany. #DenseGranularFlow #GranularRheology #Couette #Chute #Continuous #MultiModalSensing

#PARTICUOLOGY Volume 94 (Part III) ✨ https://lnkd.in/gSSMNrE5 21.    Morphology-dependent support effect of PdCu/alpha-Fe2O3 catalysts on Suzuki-Miyaura cross-coupling reaction https://lnkd.in/gn7VtCG3 Ying Zhang, Chengshan Dai, Hongyu Fan, Junnan Chen, Li Gao, Bingsen Zhang*   22.    Numerical investigations on cluster characteristics in the supercritical water circulating fluidized bed riser https://lnkd.in/gi7abyPs Kenan Xi, Runqing Li, Xiazhi Li, Mei Li, Xiudong Xu, Yu Zhang, Hao Wang*, Youjun Lu*   23.    Dynamic simulation and experimental study of the effect of one-dimensional vibration on the packing of wood powder particles https://lnkd.in/g_TBnfG3 Xiaoneng Chen, Fuqiang He*, Fajiang Chen, Yuan Dai   24.    Two-step emulsification for the fabrication of homogeneous PCL microspheres encapsulating geniposidic acid with antioxidant properties https://lnkd.in/gb8xKGyT Hongyu Wang, Peng Ye, Ran Song, Guiru Chen, Limei Zhang, Huatai Zhu, Yuting Ren, Jiandu Lei*, Jing He*   25.    Magnetic activated carbon for the removal of methyl orange from water via adsorption and Fenton-like degradation https://lnkd.in/gdWGpBJK Qianyu Wang, Yuming Zhang*, Yuhua Zheng, Emmanuel Oluwaseyi Fagbohun, Yanbin Cui* 26.    A numerical investigation on heat transfer characteristics of a particle cluster in fluid with variable properties https://lnkd.in/gbeK4u4W Xiaoyu Li, Huibo Wang, Bowei Zhang, Hui Jin* WeChat: https://lnkd.in/eFzTdhXQ LinkedIn: https://lnkd.in/gPvN5WhT 27.    Effect of blade geometry on the powder spreading process in additive manufacturing https://lnkd.in/ggPueTuX Deze Yang, Xihua Chu*, Qipeng Liu 28.    Gas-rigid-flexible compound blade coupling enhanced experimental study on chaotic mixing of multiphase flow https://lnkd.in/gJYBirue Yan Zhang, Xinyu Li, Gai Zhang, Mingyang Fan, Jianxin Xu*, Hua Wang 29.    Arch formation mechanism and discharge process of cohesive fine powder in a vibrated silo https://lnkd.in/gmM4TBq5 Jingzhen Zhu, Kun Wang, Yu Ma, Wentao Xu, Jiecai Long, Xiwen Li* 30.  Investigation of the flotation behavior and interaction characteristics of micro-fine quartz and magnesite in a dodecylamine system under ultrasonic treatment https://lnkd.in/ge7_9Uhw Xiufeng Gong, Jin Yao*, Wanzhong Yin*, Jianwei Yu, Bin Yang, Yulian Wang* #CatalyticPerformance #SupercriticalWater #FluidizedBed #TwoFluidModel #WoodPowderParticles #Emulsification #Microspheres #Adsorption #ParticleCluster #HeatTransfer #DiscreteElementMethod #DEM #AdditiveManufacturing #MultiphaseFlow #BubbleDynamics #CohesiveFinePowder #Flotation #UltrasonicTreatment

#PARTICUOLOGY Volume 94 (Part II) ✨ https://lnkd.in/gSSMNrE5   11.    Unresolved CFD-DEM simulation of adsorption process with different particle shapes in radial flow adsorber https://lnkd.in/gSBPfS-p Runye Zhang, Jie Peng, Yaohui Wang, Zhongli Tang, Wenbin Li, Donghui Zhang* 12.    Effect of Mo6+ doping on the structure and electrochemical properties of spinel-type LiMn2O4 cathode materials https://lnkd.in/gGaFH35Q Shengwen Ou, Zhen Li, Yang You, Lianghua Wang, Jingyue Xu, Mingliang Yuan* 13.    Particle size distribution design of limited agglomeration via geometric morphology in erythritol crystallization https://lnkd.in/gsVFi5AK Mingxuan Li, Suoqing Zhang, Jiansong Wang, Jiahui Li, Wei Zhao, Leida Zhang, Mingyang Chen*, Dandan Han*, Junbo Gong   14.    Influence of multi-factor interactions on particle growth during top-spray fluidized bed agglomeration https://lnkd.in/gCXHHgHu Chunyin Wang, Jiliang Ma*, Jialiang Cai, Han Pu, Xiaoping Chen 15.    Experimental study on gas uniformity at the inlets of six cyclones in a CFB with multi-tracer gas method https://lnkd.in/gRDa29B4 Qingyu Zhang, Leming Cheng*, Kun Li, Zhangke Ma, Qifeng Yu 16.    Study on the adsorption performance and regeneration of lignin-derived graphitic carbon for H2S https://lnkd.in/g5s7GTdz Fen Li*, Ruiying Wang, Ying Yang, Menglong Zheng, Qiushuang Li, Dongdong Yang, Huiyu Chen 17.    Development of a 3D model for particle-wall collision and induced rotation and its influence on particle trajectories https://lnkd.in/gsK7pjpY Cairen Miranda*, John Palmore Jr. 18.    Rotating hydrothermal route to red mud derived uniform hierarchical porous flowerlike boehmite (γ-AlOOH) microspheres: Force analysis on formation mechanism and superior adsorption performances for anionic dyes removal https://lnkd.in/eRChQ7Gg Qingxue Hui, Yaru Hang, Fei Wang, Heng Zhang*, Liyun Zhang, Wancheng Zhu* WeChat: https://lnkd.in/enBxiPk7 LinkedIn: https://lnkd.in/gSWPmux2   19.    Origin of enhanced electrochemical performance in lithium-rich cathode materials via the fast ion conductor Li2O-B2O3-LiBr https://lnkd.in/gfy_bF7H Yang You, Hanhui Liu, Mingliang Yuan*   20.  Treatment of oily wastewater using submerged photocatalytic membrane reactor https://lnkd.in/gKmSgTTs Hassan G. Gomaa*, Wen Zhou, Jesse Zhug #ComputationalFluidDynamics #DiscreteElementMethod #CFD #DEM #RadialFlowAdsorber #LithiumIonBattery #CathodeMaterials #ParticleSizeDistribution #Agglomeration #Crystallization #FluidizedBed #Regeneration #AdsorptionPerformance #ParticleCollisions #RedMud #Microspheres #ElectrochemicalPerformance #Photocatalysis #MembraneReactors

#PARTICUOLOGY Volume 94 (Part I) ✨ https://lnkd.in/gSSMNrE5 1.    Positron Emission Projection Imaging: A technique for concentration field measurements in opaque industrial systems (Open Access) https://lnkd.in/g_c3j5RE Roberto Hart-Villamil, Jack Sykes, Andy Ingram*, Christopher R.K. Windows-Yule, Santosh Kumar Gupta 2.    Discrete element method model calibration and validation for the spreading step of the powder bed fusion process to predict the quality of the layer surface (Open Access) https://lnkd.in/epY2Z8Q6 Marco Lupo, Sina Zinatlou Ajabshir, Daniele Sofia, Diego Barletta, Massimo Poletto* WeChat: https://lnkd.in/gAQp-4Tc LinkedIn: https://lnkd.in/gPCNGAvb 3.    Influence of ammonia and Brown gas injection on the iron ore sintering characteristics under biochar substitution https://lnkd.in/gQP5pDbz Laiquan Lv, Jiankang Wang, Hanxiao Meng, Hao Zhou*   4.    Preferential concentration in supersonic gas-particle two-phase transverse jets https://lnkd.in/gUwhbEcp Likun Ma*, Luxi Xu, Kangchun Zhao, Pengnian Yang, Yunchao Feng, Binbin Chen, Zhixun Xia 5.    New insights into the interaction between low-rank coal particles and clay minerals and its role in flotation responses https://lnkd.in/g2XZGeMV Shiwei Wang*, Yuheng Wang, Rongjie Kong 6.    Sensitivity analysis of a dense discrete phase model for 3D simulations of a tapered fluidized bed https://lnkd.in/eD8H2B_u Muhammad Adnan, Nouman Ahmad, Pornpote Piumsomboon, Benjapon Chalermsinsuwan* 7.    Mechanical vibration-assisted metal powder filling process and mechanism based on the discrete element method https://lnkd.in/gzXrbSsA Ruihan Liu, Jiayong Qiu, Qiliang Zhang, Zhanfang Wu, Xiangyang Li, Lida Che, Dianchun Ju* 8.    DEM simulation and characterization of copper and iron powders fabricated by ball milling https://lnkd.in/gQ_4F8rJ Khulan Uranchimeg, Battsetseg Jargalsaikhan, Lee Sang Eui, Heekyu Choi*   9.    Liquid-solid grinding system: Grinding kinetics of coal fly ash as ultrafine supplementary cementitious materials https://lnkd.in/gcyQFcm4 Jin Yang, Yong Huang, Xingyang He*, Ying Su, Tao Huang*, Bohumír Strnadel 10.  Wall-scaling prevention in cryogenic external cooler of ammonium chloride solution by liquid-solid fluidization https://lnkd.in/gwKDiY_2 Yusu Zhu, Yongli Ma*, Mingyan Liu #PositronEmissionProjectionImaging #ComputationalFluidDynamics #DiscreteElementMethod #CFD #DEM #AdditiveManufacturing #Sintering #Crossflow #GasParticleFlow #Flotation #FluidizedBed #DenseDiscretePhaseModel #ParticleMorphology #ParticleSize #WetMilling #FlyAsh #FluidizedBed #TwoPhaseFlow

#PARTICUOLOGY Featured Article ✨   Development of a two-stage virtual impactor for the generation of micrometer-scale monodisperse aerosols By Jun-Hyung Lim, Igor Kim, Se-Jin Yook* Hanyang University, Republic of Korea https://lnkd.in/eXCRY54t   Monodisperse particles are useful across a wide range of industrial applications, such as LCD displays, solar cells and rechargeable batteries, due to their uniformly small sizes. However, generating high volumes of monodisperse particles remains challenging. This study introduces a new particle-size classification device using two virtual impactors connected in series. It employs clean air cores in both stages to improve the sharpness of the aerosol size distribution. The target particle size can be varied by adjusting the nozzle size and flow rates. The performance of the impactor was simulated and validated through an experiment using Arizona test dust. Results show that monodisperse aerosol particles were classified at a geometric standard deviation of 1.04–1.14 and a particle size range of 2–6.7 μm. This system outperforms existing monodisperse aerosol generators like MAG and VOAG in terms of efficiency and particle uniformity. The device has promising applications for industries requiring large quantities of uniform particles, as it enables more effective classification of micrometer-scale aerosols compared to traditional methods. Please see the Chinese post on WeChat at https://lnkd.in/eXqdSSub. #VirtualImpactor #CleanAirCore #DustCollectionEfficiency #Monodispersity #Classification #MicrometerScaleAerosol

✨Book Recommendation✨   INTRODUCTION TO PARTICLE TECHNOLOGY, 3rd Edition A new edition of the indispensable guide to particulates and powders Martin Rhodes, Jonathan Seville  https://lnkd.in/eJ_k9rCV   This well-known textbook, now in its 3rd edition, provides an easily-understood introduction to the underlying scientific principles of particle technology, together with examples of how these principles can be used in practical design and operation of industrial processes. Each chapter contains both worked examples and exercises for the student. Based on feedback from students and users of the earlier editions, this revised and expanded text includes introductory chapters on particles as products and on computational methods. The topics have been selected to give coverage of the broad areas of particle technology and include:   #Characterization (size analysis, surface area) #Processing (granulation, fluidization) #Particle formation (granulation, crystallisation, tableting, size reduction) #Storage and #transport (hopper design, pneumatic conveying, standpipes) #Separation (filtration, settling, cyclones) #Safety (fire and explosion hazards, health hazards) #Engineering the properties of particulate systems to achieve desired product performance #DiscreteElementModelling of particulate systems   Introduction to Particle Technology, 3rd Edition is essential reading for students of chemical engineering. The text is also recommended reading for students of mechanical engineering, applied chemistry, pharmaceutics, physics, mineral processing, and metallurgy, and is an excellent source for practising engineers and scientists looking to establish a working knowledge of the subject.   ISBN: 978-1-119-93110-2 (Paperback) 978-1-119-93116-4 (E-Book) June 2024 496 pages   Please see the Chinese introduction on WeChat at https://lnkd.in/eJHsUPT2. #Characterization #SizeAnalysis #SurfaceArea #Processing #Granulation #Fluidization #ParticleFormation #Crystallisation #Tableting #SizeReduction #StorageAndTransport #HopperDesign #PneumaticConveying #Standpipes #Separation #filtration #Settling #Cyclones #Safety #FireAndExplosionHazards #HealthHazards #ParticulateSystems #DiscreteElementModelling #DEM

#PARTICUOLOGY Special Issue Article ✨   Validation of simulations of particulate, fluid and multiphase systems using positron emission particle tracking: A review #OpenAccess By Jack Sykes, Daniel Weston*, Niklas Adio, 车汉桥 (Hanqiao Che), Roberto Hart-Villamil, Andrei Leonard Nicusan, William P., Daniel Rhymer MEng, Dominik Werner, Professor Tzany Kokalova Wheldon, Andrew Ingram, Kit Windows-Yule University of Birmingham https://lnkd.in/e6fVP-Hr This paper explores the integration of #PositronEmissionParticleTracking (#PEPT) with numerical modelling to improve validation in industrial applications. PEPT is known for its ability to provide precise measurements, but its application is often restricted due to cost and limited availability. On the other hand, numerical modelling, while cost-effective, requires robust validation to ensure accurate outcomes. The review discusses how these two approaches can be combined to overcome the limitations of previous validation methods. Several case studies are presented, showcasing PEPT’s effectiveness as a validation tool. The paper also highlights current challenges in PEPT and suggests directions for future research. The authors expect the broader use of PEPT in both industrial and academic contexts to enhance the reliability of validation techniques. Please see the Chinese post on WeChat at https://lnkd.in/eaJdt46K. This paper is included in the special issue "#ImageIsEverything". The guest editors are Dr. Kit Windows-Yule and Professor Jonathan Seville from University of Birmingham, UK, Dr. Kay Buist and Dr. Giulia Finotello from Eindhoven University of Technology, Netherlands, and Dr. Kia Taghizadeh from University of Stuttgart, Germany. #PositronEmissionParticleTracking #PEPT #Validation #Simulations #ParticleTracking

#PARTICUOLOGY Featured Article ✨   Quantitative characterization of granular size #segregation: A critical review By Cong Leng, Chengfeng Sun, Zhehan Liao, Jian Xu* Chongqing University https://lnkd.in/e-Pnf-vV Granular size segregation is a common and significant phenomenon in both natural and industrial systems, where particles of varying sizes separate due to various processes. This review critically evaluates state-of-the-art methodologies used to quantify size segregation in granular systems. These methods are organized into a multi-scale framework, extending from particle-level to grid/cell-level, and up to objective-level evaluation. The review addresses key challenges such as identifying equivalent segregation states, sensitivity to sample size, the effects of sampling division patterns, and the complexities of multi-component systems. The review also highlights promising directions for developing more advanced and effective methods for studying granular size segregation.     Please see the Chinese post on WeChat at https://lnkd.in/eemwarEG. #GranularSystem #GranularSizeSegregation #QuantitativeCharacterization #MultiScaleFramework

Congratulations to Dr. Kimiaki Washino! Congratulations to all the winners! At the same time, many thanks to the Award Committee members, as well as to all our authors and readers, for your continued support. 2024 #Bettersize–#Particuology Excellent Article Award