Powder Technology最新文献

Synergistic effect of external diversion tube and internal stabilizing rod on flow pattern and performance of a cyclone separator 外导流管和内稳定杆对旋风分离器流型和性能的协同效应

IF 4.6 2区工程技术

Powder Technology Pub Date : 2025-08-05 DOI: 10.1016/j.powtec.2025.121491

Jianfei Kang , Falong Shan , Yinghou Li , Yaqi Xu , Fei Gao , Guanghui Chen , Pan Zhang

{"title":"Synergistic effect of external diversion tube and internal stabilizing rod on flow pattern and performance of a cyclone separator","authors":"Jianfei Kang , Falong Shan , Yinghou Li , Yaqi Xu , Fei Gao , Guanghui Chen , Pan Zhang","doi":"10.1016/j.powtec.2025.121491","DOIUrl":"10.1016/j.powtec.2025.121491","url":null,"abstract":"<div><div>Flow control through the addition of components is crucial for enhancing collection efficiency and reducing the energy losses of a cyclone. This study investigates the synergistic effects of an external diversion tube and a central stabilizing rod on the flow field and separation performance of a Stairmand-type cyclone. Experimental and computational analyses reveal that the hybrid configuration effectively optimizes secondary vortices in the dustbin and suppresses vortex synergy of the cyclone cone, thereby enhancing coarse particle (<em>D</em><sub><em>p</em></sub> > 2 μm) separation efficiency. Additionally, the coarse particles flowing into the diversion tube are easily collected in the dustbin, reducing the flow blockage while maintaining fine particle (<em>D</em><sub><em>p</em></sub> < 2 μm) separation performance. At inlet velocities above 18 m/s, the hybrid design achieves 4–6 % higher efficiency than conventional cyclones. The hybrid design also reduces the pressure drop by 28.28 % relative to the conventional cyclone and by 13.18 % compared to the rod-only configuration at an inlet velocity of 15 m/s. these results underscore the successful balance achieved by the hybrid design between energy conservation and performance enhancement, suggesting a highly promising method for the redesign of industrial-scale cyclone separators</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"467 ","pages":"Article 121491"},"PeriodicalIF":4.6,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144771120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From pilot to industrial production scale to better understand how dairy powders evolve during shipment 从试点到工业生产规模，以更好地了解乳制品在运输过程中的演变

IF 4.6 2区工程技术

Powder Technology Pub Date : 2025-08-05 DOI: 10.1016/j.powtec.2025.121516

C. Gaiani , G. Francius , S. El-Kirat-Chatel , C. Ray , M. Alexander , J. Burgain

引用次数: 0

Optimization method for rotating airflow sweeping of concrete fragments based on combined back propagation neural network and NSGA-II algorithm 基于反向传播神经网络和NSGA-II算法的混凝土碎片旋转气流清扫优化方法

IF 4.6 2区工程技术

Powder Technology Pub Date : 2025-08-05 DOI: 10.1016/j.powtec.2025.121513

Xiaohui Liu , Yuan Li , Kaidong Xue , Penghui Wang , Yongyi Ren

{"title":"Optimization method for rotating airflow sweeping of concrete fragments based on combined back propagation neural network and NSGA-II algorithm","authors":"Xiaohui Liu , Yuan Li , Kaidong Xue , Penghui Wang , Yongyi Ren","doi":"10.1016/j.powtec.2025.121513","DOIUrl":"10.1016/j.powtec.2025.121513","url":null,"abstract":"<div><div>To address the efficient sweeping of pavement concrete fragments, this paper proposes an optimization method for rotating airflow sweeping of concrete fragments based on the combination of a Back propagation neural network (BPNN) and the Non-dominated sorting genetic algorithm II (NSGA-II). Firstly, a gas-solid coupled dynamics model for pneumatic sweeping of concrete fragments is established using the CFD-DEM coupling method. The influence of airflow velocity, nozzle height, and rotating speed on sweeping performance are analyzed through single-factor experiments to determine the parameter selection range. Secondly, a numerical simulation scheme is designed using the Box-Behnken (BB) method, conducting a total of 17 sets of numerical simulations to obtain simulation data. The results of the BP method are then employed to train a Neural Network and construct in this way an objective function containing the optimization parameters. Finally, with the sweeping area ratio and the number of particles entering the statistical zone as objectives, the NSGA-II algorithm is applied for multi-objective optimization of sweeping parameters. The optimized sweeping performance consistently outperforms the results obtained from single-factor analysis.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"467 ","pages":"Article 121513"},"PeriodicalIF":4.6,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144771103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Failure and fractal characteristics of anisotropic oil shale using real-time CT technology 基于实时CT技术的各向异性油页岩破坏及分形特征研究

IF 4.6 2区工程技术

Powder Technology Pub Date : 2025-08-05 DOI: 10.1016/j.powtec.2025.121522

Chong Lin , Xufei Jia , Xiaoshan Chen , Wei Liu , Jincheng Mao , Xiaojiang Yang , Yang Zhang , Jianming He

{"title":"Failure and fractal characteristics of anisotropic oil shale using real-time CT technology","authors":"Chong Lin , Xufei Jia , Xiaoshan Chen , Wei Liu , Jincheng Mao , Xiaojiang Yang , Yang Zhang , Jianming He","doi":"10.1016/j.powtec.2025.121522","DOIUrl":"10.1016/j.powtec.2025.121522","url":null,"abstract":"<div><div>The permeability of shale matrix is extremely low. The formation needs to be stimulated by hydraulic fracturing treatments for commercial development. Therefore, the failure mechanism of oil shale at micro-scale is very important for the optimization and evaluation of hydraulic fracturing treatments. In this study, in-situ uniaxial compression experiments were conducted with the assistant of real-time CT scanning technology on anisotropic oil shale rock samples to overcome the shortage of disturbance of sample movement. The morphology of cracks in the fractured shale samples with different bedding angles (0°,30°,60°and 90°) were qualitatively and quantitatively analyzed based on image processing technology and fractal method. The relationships between bedding angle and fractal dimension and fracture volume were analyzed. The experimental results demonstrate an inverse correlation between the uniaxial compressive strength and fracture volume of shale samples with varying bedding angles. Specifically, the 60° sample exhibited a fracture volume of 4.02 % after failure, which is approximately four times higher than that of the 30° sample, while its compressive strength decreased by 35.81 MPa (from 70.72 MPa to 45.4 MPa). Furthermore, the 30° sample attained the highest fractal dimension of 2.32714 among all four configurations, indicating the most complex fracture network morphology. The results demonstrated that hard minerals play an important role in the extension of cracks in oil shale. Due to the presence of hard minerals, three fracture modes, namely intergranular fracture, transgranular fracture and crack arrest, occurred in the samples during the test. This research provides foundational insights and guidance for the optimization of fracturing operation in oil shale formation.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"466 ","pages":"Article 121522"},"PeriodicalIF":4.6,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144771436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Measurement of powder coating coverage on a moving surface 在移动表面上测量粉末涂层的覆盖率

IF 4.6 2区工程技术

Powder Technology Pub Date : 2025-08-05 DOI: 10.1016/j.powtec.2025.121509

Ian Lung , Christian Rowsell , Boris Stoeber , Sheldon Green

引用次数: 0

Critical normalized filling time for preventing electrostatic discharge in silo containing charged powder and scale-up study 防止带电粉体筒仓静电放电的临界归一化灌装时间及放大研究

IF 4.6 2区工程技术

Powder Technology Pub Date : 2025-08-04 DOI: 10.1016/j.powtec.2025.121508

Qun Zhou , Jialu Chen , Yipeng Li , He Meng , Yinxia Guan , Xiaolei Bi , Xuhai Pan , Jun Dong , Cai Liang

{"title":"Critical normalized filling time for preventing electrostatic discharge in silo containing charged powder and scale-up study","authors":"Qun Zhou , Jialu Chen , Yipeng Li , He Meng , Yinxia Guan , Xiaolei Bi , Xuhai Pan , Jun Dong , Cai Liang","doi":"10.1016/j.powtec.2025.121508","DOIUrl":"10.1016/j.powtec.2025.121508","url":null,"abstract":"<div><div>Exploring the electrostatic characteristics of charged powder and proposing the critical normalized filling time for preventing electrostatic discharge in silos are meaningful for developing anti-static technology and ensuring the safe utilization of the silo. This study simulated the electric field in silos considering the charge dissipation of charged powder by the finite element method. The electric field distribution at different repose angles of the powder was uncovered. The critical normalized filling time under different initial space charge densities, gap distances, repose angles and height-to-diameter ratios was obtained, and the scale-up law of the critical parameter was discussed. The results show that there are different influences of the repose angle on the maximum electric field strength for the larger and smaller normalized filling times. Decreasing the repose angle helps reduce the probability of electrostatic discharge for any normalized filling time. Increasing the space charge density results in a proportional increase of the electric field strength in the silo as well as the critical normalized filling time. The critical normalized filling time declines first and then reaches a stable value with increasing gap distance. The critical normalized filling time at a larger repose angle is much greater than that at a smaller repose angle. When the height-to-diameter ratio of the silo is in the range of 2–5, the critical normalized filling times at the critical gap distance are similar to each other. Increasing the silo size results in a proportional increase of the maximum electric field strength and the critical normalized filling time. Decreasing the initial charge-to-mass ratio of powder is the fundamental way to reduce the electrostatic hazards in silos.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"466 ","pages":"Article 121508"},"PeriodicalIF":4.6,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144767029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Computational investigation of non-Newtonian fluids for enhancing the mechanical response of granular media under shearing 非牛顿流体增强剪切作用下颗粒介质力学响应的计算研究

IF 4.6 2区工程技术

Powder Technology Pub Date : 2025-08-02 DOI: 10.1016/j.powtec.2025.121433

Mobina Taghaddosi , Nariman Mahabadi

{"title":"Computational investigation of non-Newtonian fluids for enhancing the mechanical response of granular media under shearing","authors":"Mobina Taghaddosi , Nariman Mahabadi","doi":"10.1016/j.powtec.2025.121433","DOIUrl":"10.1016/j.powtec.2025.121433","url":null,"abstract":"<div><div>Non-Newtonian fluids exhibit complex rheological behaviors that significantly influence their interactions with porous materials. However, their impact on granular media under shear-loading conditions remains largely unexplored. This study investigates the mechanical response of a saturated granular medium subjected to shear stress using Fluid–Structure Interaction (FSI) computational simulations. Six fluid types, including Newtonian, shear-thinning, and shear-thickening fluids, are analyzed within porous media of varying granular packing densities. Results demonstrate that shear-thickening fluids reduce particle displacement by forming high-viscosity networks, whereas shear-thinning fluids enhance particle mobility, particularly in dense packings. A key discovery is the emergence of meta-structures—localized high-viscosity zones that effectively transfer stress between shearing and non-shearing particles without direct contact. These meta-structures mitigate zero effective stress conditions by preserving stress transmission pathways, thereby stabilizing granular media under extreme deformations. The findings provide new insights into the mechanical resilience of geomaterials and have significant implications for geotechnical applications, including soil stabilization, landslide prevention, and seismic-resistant infrastructure.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"466 ","pages":"Article 121433"},"PeriodicalIF":4.6,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144758072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effect of boundaries on flow behavior of granular material in a hopper 边界对料斗内颗粒物料流动特性的影响

IF 4.6 2区工程技术

Powder Technology Pub Date : 2025-07-31 DOI: 10.1016/j.powtec.2025.121505

Sheng Zhang , Guanghui Yang , Xunchao Zhang

{"title":"Effect of boundaries on flow behavior of granular material in a hopper","authors":"Sheng Zhang , Guanghui Yang , Xunchao Zhang","doi":"10.1016/j.powtec.2025.121505","DOIUrl":"10.1016/j.powtec.2025.121505","url":null,"abstract":"<div><div>Boundaries play a crucial role in regulating granular flow. This study investigates the influence of boundary conditions on the flow behavior of granular materials in a conical hopper with an interior insert, using numerical simulations based on the Discrete Element Method (DEM). The effects of key boundary parameters—including particle-boundary friction and restitution coefficients, outlet width, insert width, and boundary roughness modeled by glued particles—are systematically examined. Results indicate that increasing the particle-boundary friction coefficient reduces the flow rate and alters velocity and granular temperature distributions, particularly near the walls, with the effects saturating beyond a certain friction threshold. The restitution coefficient has negligible impact under dense flow conditions. The outlet width critically affects the flow rate and the shape of the free surface, which transitions from a parabolic to a flatter profile as the outlet narrows. In contrast, insert width has little effect on flow rate or structure, provided the insert is sufficiently distant from the outlet. Boundary roughness, introduced via glued particles, generates a boundary layer with reduced particle velocity and elevated granular temperature, with both the particle diameter and solid area fraction of glued particles influencing the extent of this effect. These findings provide valuable insights for optimizing the design and operation of industrial hoppers by tailoring boundary properties to control granular flow.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"466 ","pages":"Article 121505"},"PeriodicalIF":4.6,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144771425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Formation mechanism of Al2O3/FeNi composite powders prepared by gas-solid atomization method for additive manufacturing 增材制造气固雾化法制备Al2O3/FeNi复合粉体的形成机理

IF 4.6 2区工程技术

Powder Technology Pub Date : 2025-07-31 DOI: 10.1016/j.powtec.2025.121499

Jinli Xiang , Guixiang Zhang , Yandan Xia , Lianfang Jin , Haozhe Zhang , Yugang Zhao , Guoyong Zhao , Jianbing Meng

{"title":"Formation mechanism of Al2O3/FeNi composite powders prepared by gas-solid atomization method for additive manufacturing","authors":"Jinli Xiang , Guixiang Zhang , Yandan Xia , Lianfang Jin , Haozhe Zhang , Yugang Zhao , Guoyong Zhao , Jianbing Meng","doi":"10.1016/j.powtec.2025.121499","DOIUrl":"10.1016/j.powtec.2025.121499","url":null,"abstract":"<div><div>In order to prepare ceramic-metal based composite powders with excellent performance and make them play a better role in additive manufacturing, this paper uses gas-solid two-phase flow to atomize the FeNi alloy melt. The melt is atomized, cooled and solidified to finally form ceramic-metal based composite powders for additive manufacturing. The morphology, particle size distribution and rapid solidification characteristics of the composite powders are investigated, and the formation mechanism is analyzed. Compared with the powder prepared by gas atomization method, the composite powder is found to be characterized by high sphericity and fine particle size, and then the atomization mechanism of gas-solid two-phase flow on metal melt is investigated. The different distribution phenomena of Al<sub>2</sub>O<sub>3</sub> particles with different particle sizes in the composite powders are investigated by calculating the energy change of the atomization system. The reason for the high sphericity of the composite powder is analyzed by calculating and comparing the solidification time and spheroidisation time of the metal droplets. The results show that although the composite powder is characterized by rapid solidification, the solidification time is still greater than the spheroidisation time, and the final composite powder with high sphericity is formed.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"466 ","pages":"Article 121499"},"PeriodicalIF":4.6,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144767034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting coefficient of restitution of ice particles: A machine learning-based approach 预测冰粒恢复系数：一种基于机器学习的方法

IF 4.6 2区工程技术

Powder Technology Pub Date : 2025-07-31 DOI: 10.1016/j.powtec.2025.121497

Ehsan Khoshbakhtnejad, Hossein Sojoudi

{"title":"Predicting coefficient of restitution of ice particles: A machine learning-based approach","authors":"Ehsan Khoshbakhtnejad, Hossein Sojoudi","doi":"10.1016/j.powtec.2025.121497","DOIUrl":"10.1016/j.powtec.2025.121497","url":null,"abstract":"<div><div>Understanding impact dynamics of ice particles play a crucial role in determining ice-adhesion risks across aviation, ground transportation, and renewable-energy systems. This study presents a comprehensive machine learning (ML) framework to predict the normal coefficient of restitution (<em>COR</em>ₙ) of ice particles across a broad range of velocity, particle size, and temperature. Drawing from five key experimental studies, a database of impacts was reformulated using Reynolds (<em>Re</em>), Froude (<em>Fr</em>), and Péclet (<em>Pe</em>) numbers, enabling consistent analysis of previously disparate data. The extreme gradient boosting (XGBoost) model trained on these dimensionless groups achieved a testing coefficient of determination R<sup>2</sup> of 93 % and a mean absolute error (MAE) of 5.6 %, showing notable improvements in accuracy compared to several existing physics-based models. A physics-informed machine learning (PIML) variant, combining a log-linear baseline model with XGBoost-based residual corrections, offered a more interpretable and generalizable framework, while achieving reasonable accuracy, with a testing R<sup>2</sup> of 86 %. Analysis of the trained models revealed that increasing <em>Re</em>, <em>Fr</em>, and <em>Pe</em> values are associated with greater energy dissipation due to viscous drag, gravitational-inertial forces, and subsurface thermal interactions, respectively. These mechanistic insights enable a practitioner-ready design chart that maps transitions between elastic, moderately elastic, and inelastic ice impact rebound regimes. This ML-based predictive approach, along with the resulting design charts and symbolic expression, offers a practical tool for improving anti-icing and de-icing mitigation strategies in engineering applications.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"467 ","pages":"Article 121497"},"PeriodicalIF":4.6,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144771105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0