Pub Date : 2026-01-21DOI: 10.1016/j.powtec.2026.122157
Reem Khazem , Julien Colin , Hao Shi , Joel Casalinho , Dingena Schott , François Puel
Powder flowability underlies reliable solids handling, influencing dosing accuracy and production stability. Wood powders are usually cohesive and susceptible to flow problems like bridging because of their irregular, fibrous particles that are hygroscopic and heterogeneous. Two lignocellulosic powders were tested: spruce (softwood) and poplar (hardwood). Their particle size distribution, particle shape, and density were measured experimentally. Crucially, the interparticle parameters that govern powder bulk behavior, which are the cohesion energy density (), rolling friction coefficient (), and sliding friction coefficient (), are not directly measurable at the scale and morphological complexity of fibrous wood particles. Therefore, using the Discrete Element Method (DEM), (, ) were identified as effective DEM parameters by inverse calibration against rotating drum tests. A novel calibration workflow was developed to compare DEM simulations with real rotating drum experiment indicators, which can be used for unconfined, dynamic flow. These indicators correspond to newly discovered macroscopic flow descriptors that are processed from the powder bed: average projected area , its fluctuation , and the average surface profile irregularity . Wood particles were modeled as multi-sphere clumps with different sizes to balance realism and computational cost. The calibrated parameters were: spruce—=0.10, =0.367, =130 kJ/m3; poplar—=0.10, =0.772, =100 kJ/m3. Following a comprehensive results analysis, increasing CED and friction parameters deteriorates powder unconfined flowability by promoting agglomeration and particle interlocking. The resulting calibrated DEM inputs provide a baseline for predicting and improving the handling of wood powders in hoppers, feeders, and conveying screws.
{"title":"Characterization of wood powder properties: A DEM-based calibration with rotating drum experiments","authors":"Reem Khazem , Julien Colin , Hao Shi , Joel Casalinho , Dingena Schott , François Puel","doi":"10.1016/j.powtec.2026.122157","DOIUrl":"10.1016/j.powtec.2026.122157","url":null,"abstract":"<div><div>Powder flowability underlies reliable solids handling, influencing dosing accuracy and production stability. Wood powders are usually cohesive and susceptible to flow problems like bridging because of their irregular, fibrous particles that are hygroscopic and heterogeneous. Two lignocellulosic powders were tested: spruce (softwood) and poplar (hardwood). Their particle size distribution, particle shape, and density were measured experimentally. Crucially, the interparticle parameters that govern powder bulk behavior, which are the cohesion energy density (<span><math><mi>CED</mi></math></span>), rolling friction coefficient (<span><math><mi>μᵣ</mi></math></span>), and sliding friction coefficient (<span><math><mi>μₛ</mi></math></span>), are not directly measurable at the scale and morphological complexity of fibrous wood particles. Therefore, using the Discrete Element Method (DEM), (<span><math><mi>μₛ</mi><mo>,</mo><mi>μᵣ</mi></math></span>, <span><math><mi>CED</mi></math></span>) were identified as effective DEM parameters by inverse calibration against rotating drum tests. A novel calibration workflow was developed to compare DEM simulations with real rotating drum experiment indicators, which can be used for unconfined, dynamic flow. These indicators correspond to newly discovered macroscopic flow descriptors that are processed from the powder bed: average projected area <span><math><mover><mi>Area</mi><mo>¯</mo></mover></math></span>, its fluctuation <span><math><mi>σ</mi><mfenced><mi>Area</mi></mfenced></math></span>, and the average surface profile irregularity <span><math><mover><msup><mi>r</mi><mn>2</mn></msup><mo>¯</mo></mover></math></span>. Wood particles were modeled as multi-sphere clumps with different sizes to balance realism and computational cost. The calibrated parameters were: spruce—<span><math><msub><mi>μ</mi><mi>s</mi></msub></math></span>=0.10, <span><math><msub><mi>μ</mi><mi>r</mi></msub></math></span>=0.367, <span><math><mi>CED</mi></math></span>=130 kJ/m<sup>3</sup>; poplar—<span><math><msub><mi>μ</mi><mi>s</mi></msub></math></span>=0.10, <span><math><msub><mi>μ</mi><mi>r</mi></msub></math></span>=0.772, <span><math><mi>CED</mi></math></span>=100 kJ/m<sup>3</sup>. Following a comprehensive results analysis, increasing CED and friction parameters deteriorates powder unconfined flowability by promoting agglomeration and particle interlocking. The resulting calibrated DEM inputs provide a baseline for predicting and improving the handling of wood powders in hoppers, feeders, and conveying screws.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"473 ","pages":"Article 122157"},"PeriodicalIF":4.6,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146076477","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}
Pub Date : 2026-01-21DOI: 10.1016/j.powtec.2026.122161
Shuang Hu , Jiaqing Wang , Xin Zhou , Qiang Li , Dongzhao Jin , Dongdong Ge , Feng Shen
The strong early-stage reaction and short initial setting time characteristic of alkali activated slag hinders its potential for widespread field application, thus necessitating the use of retarders to prolong the setting time. However, conventional chemical retarders are generally characterized by high energy consumption and substantial carbon emissions. This study utilized waste cheese whey, biomass waste that causes resource depletion and environmental pollution, to prepare sodium galactonate (SGA) as a bio-retarder through a process involving biological fermentation and electrodialysis. The impact of SGA on the setting time, flowability, mechanical strength, and drying shrinkage of alkali activated slag (AAS) mixtures was assessed and compared with the commonly used sodium gluconate (SG) retarder. Results demonstrated that SGA effectively prolonged the setting time and enhanced the flowability, with effects becoming more pronounced as the dosage rose. SGA enhanced the setting time and maximum flowability by up to 120% and 32%, respectively. SEM-EDS, XRD, hydration heat test were conducted to investigate the effects of SGA on hydration products and microstructure. Meanwhile, SAXS test was used to investigate the impact of SGA incorporation on C-A-S-H gel agglomerations and the pore structure. Furthermore, in order to elucidate SGA's effect on the formation of silicate gels, XPS analysis of O 1 s, Al 2p, and Si 2p was performed. This study achieved a valorization of waste biomass resources with promoting the implementation of alkali activated materials in engineering applications.
{"title":"The utilization of waste cheese whey for retardation in alkali activated slag-based materials: Retarding performance and molecular hydration mechanism","authors":"Shuang Hu , Jiaqing Wang , Xin Zhou , Qiang Li , Dongzhao Jin , Dongdong Ge , Feng Shen","doi":"10.1016/j.powtec.2026.122161","DOIUrl":"10.1016/j.powtec.2026.122161","url":null,"abstract":"<div><div>The strong early-stage reaction and short initial setting time characteristic of alkali activated slag hinders its potential for widespread field application, thus necessitating the use of retarders to prolong the setting time. However, conventional chemical retarders are generally characterized by high energy consumption and substantial carbon emissions. This study utilized waste cheese whey, biomass waste that causes resource depletion and environmental pollution, to prepare sodium galactonate (SGA) as a bio-retarder through a process involving biological fermentation and electrodialysis. The impact of SGA on the setting time, flowability, mechanical strength, and drying shrinkage of alkali activated slag (AAS) mixtures was assessed and compared with the commonly used sodium gluconate (SG) retarder. Results demonstrated that SGA effectively prolonged the setting time and enhanced the flowability, with effects becoming more pronounced as the dosage rose. SGA enhanced the setting time and maximum flowability by up to 120% and 32%, respectively. SEM-EDS, XRD, hydration heat test were conducted to investigate the effects of SGA on hydration products and microstructure. Meanwhile, SAXS test was used to investigate the impact of SGA incorporation on C-A-S-H gel agglomerations and the pore structure. Furthermore, in order to elucidate SGA's effect on the formation of silicate gels, XPS analysis of O 1 s, Al 2p, and Si 2p was performed. This study achieved a valorization of waste biomass resources with promoting the implementation of alkali activated materials in engineering applications.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"472 ","pages":"Article 122161"},"PeriodicalIF":4.6,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146090190","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}
Particulates emitted from industrial welding are a major occupational concern, as their size and morphology strongly influence exposure–response relationships and associated adverse health effects. We systematically characterise the effective density, monomer number (Np), primary particle size (ap), shape factor (χ), and fractal dimension (Df) of particulates emitted from shielded metal arc welding (SMAW) and wire arc additive manufacturing (WAAM) under varying operating parameters using field-emission scanning electron microscopy (FE-SEM). A hybrid image analysis approach integrating optimisation techniques with FracVAL was used to reconstruct three-dimensional aggregate structures from two-dimensional FE-SEM images of welding particulates, for detailed morphological evaluation. The FE-SEM images from two welding techniques at different operating parameters revealed the presence of both spherical particles and fractal aggregates. WAAM mainly produced bare-like particles, whereas SMAW generated both bare and partially coated particles due to differences in operating principles. As particle mobility diameter increased during welding, the Np (10−220) and χ (1.5–1.8) increased, while effective density (5000–1000 kg/m3) decreased. During SMAW, higher welding current and sampling height increased Df (1.25–2.12) and polydispersity index (1.3–1.6), indicating progressively more compact particle structures. SMAW produced more compact aggregates (Df: 1.25–2.15) than WAAM (Df: 1.36–1.74). Morphological analysis indicates diffusion-controlled aggregation, with a mean Df value of ∼1.6, consistent with diffusion-limited cluster aggregation (DLCA) behaviour. These results provide crucial insights into how specific welding techniques influence particulate structure, underscoring the need to include the effect of particle shape as well in exposure studies and in tailoring control measures.
{"title":"Morphological characterisation of particulate emissions from various welding techniques used in industrial environments","authors":"Rubal Dhiman , Abhishek Singh , Adarsh Prakash , Akshat Jain , Sachin D. Kore , Anirudha Ambekar , Thaseem Thajudeen","doi":"10.1016/j.powtec.2026.122156","DOIUrl":"10.1016/j.powtec.2026.122156","url":null,"abstract":"<div><div>Particulates emitted from industrial welding are a major occupational concern, as their size and morphology strongly influence exposure–response relationships and associated adverse health effects. We systematically characterise the effective density, monomer number (N<sub>p</sub>), primary particle size (a<sub>p</sub>), shape factor (χ), and fractal dimension (D<sub>f</sub>) of particulates emitted from shielded metal arc welding (SMAW) and wire arc additive manufacturing (WAAM) under varying operating parameters using field-emission scanning electron microscopy (FE-SEM). A hybrid image analysis approach integrating optimisation techniques with FracVAL was used to reconstruct three-dimensional aggregate structures from two-dimensional FE-SEM images of welding particulates, for detailed morphological evaluation. The FE-SEM images from two welding techniques at different operating parameters revealed the presence of both spherical particles and fractal aggregates. WAAM mainly produced bare-like particles, whereas SMAW generated both bare and partially coated particles due to differences in operating principles. As particle mobility diameter increased during welding, the N<sub>p</sub> (10−220) and χ (1.5–1.8) increased, while effective density (5000–1000 kg/m<sup>3</sup>) decreased. During SMAW, higher welding current and sampling height increased D<sub>f</sub> (1.25–2.12) and polydispersity index (1.3–1.6), indicating progressively more compact particle structures. SMAW produced more compact aggregates (D<sub>f</sub>: 1.25–2.15) than WAAM (D<sub>f</sub>: 1.36–1.74). Morphological analysis indicates diffusion-controlled aggregation, with a mean D<sub>f</sub> value of ∼1.6, consistent with diffusion-limited cluster aggregation (DLCA) behaviour. These results provide crucial insights into how specific welding techniques influence particulate structure, underscoring the need to include the effect of particle shape as well in exposure studies and in tailoring control measures.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"472 ","pages":"Article 122156"},"PeriodicalIF":4.6,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146035835","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}
Fluidised dense-phase pneumatic conveying systems are increasingly used in industry to transport fine powders efficiently and with minimal environmental impact. However, accurate modelling and design remain challenging due to the complex behaviour of fluidised dunes. Accurate prediction of key parameters, including minimum transport limits and the influence of particle size distribution, requires understanding powder rheology. This study investigates the rheology of six fine powders, including fly ash and cement (: 19-139 μm; : 1950-2910 kg/m3; : 660-1080 kg/m3). An experimental facility was developed to determine yield stress under fluidized and unfluidized conditions, using three immersion depths and three spindle rotational speeds. Results showed that fluidization significantly reduced yield stress. In the unfluidized state, yield stress increased with particle size, with greater values at higher immersion depths but lower values at higher spindle speeds. Froude numbers were calculated for minimum transport boundary points from pipeline conveying characteristics of fly ash and cement in two pipelines (65 mm I.D × 254 m; 80/100 mm I.D × 407 m). These values were correlated with yield stress at standard test conditions, revealing that higher yield stress corresponded to greater Froude number requirements for transport. A new model was developed to predict the pipeline pressure drop (during pneumatic conveying of powders) using powder yield stress. The model has been validated by using it to predict the pipeline pressure drop for higher tonnages by comparing the experimental values of pressure drops versus predicted values. Results have shown the new model could predict pressure drop quite accurately.
流化密相气动输送系统越来越多地应用于工业中,以有效地输送细粉末,并以最小的环境影响。然而,由于流化沙丘的复杂行为,精确的建模和设计仍然具有挑战性。准确预测关键参数,包括最小输运限制和粒度分布的影响,需要了解粉末流变学。研究了粉煤灰、水泥等6种细粉(d50: 19 ~ 139 μm; ρs: 1950 ~ 2910 kg/m3; ρbl: 660 ~ 1080 kg/m3)的流变学特性。在三种浸没深度和三种主轴转速下,建立了一套测定流化和非流化条件下屈服应力的实验装置。结果表明,流态化显著降低了屈服应力。在非流化状态下,屈服应力随颗粒尺寸的增大而增大,浸泡深度越深,屈服应力越大,主轴转速越高,屈服应力越小。根据两条管道(65 mm I.D × 254 m; 80/100 mm I.D × 407 m)中粉煤灰和水泥的管道输送特性,计算最小输送边界点的弗劳德数。这些值与标准测试条件下的屈服应力相关,表明更高的屈服应力对应于更高的运输弗劳德数要求。建立了一种利用粉末屈服应力预测粉体气力输送过程中管道压降的新模型。通过对比压降的实验值和预测值,验证了该模型对高吨位管道压降的预测效果。结果表明,新模型能较准确地预测压降。
{"title":"An experimental investigation into the rheology of fine powders for modelling fluidised dense-phase pneumatic conveying","authors":"Bheeni Bhatt , S.S. Mallick , Kapil Sharma , Gautam Setia , Anu Mittal","doi":"10.1016/j.powtec.2026.122159","DOIUrl":"10.1016/j.powtec.2026.122159","url":null,"abstract":"<div><div>Fluidised dense-phase pneumatic conveying systems are increasingly used in industry to transport fine powders efficiently and with minimal environmental impact. However, accurate modelling and design remain challenging due to the complex behaviour of fluidised dunes. Accurate prediction of key parameters, including minimum transport limits and the influence of particle size distribution, requires understanding powder rheology. This study investigates the rheology of six fine powders, including fly ash and cement (<span><math><msub><mi>d</mi><mn>50</mn></msub></math></span>: 19-139 μm; <span><math><msub><mi>ρ</mi><mi>s</mi></msub></math></span>: 1950-2910 kg/m<sup>3</sup>; <span><math><msub><mi>ρ</mi><mi>bl</mi></msub></math></span>: 660-1080 kg/m<sup>3</sup>). An experimental facility was developed to determine yield stress under fluidized and unfluidized conditions, using three immersion depths and three spindle rotational speeds. Results showed that fluidization significantly reduced yield stress. In the unfluidized state, yield stress increased with particle size, with greater values at higher immersion depths but lower values at higher spindle speeds. Froude numbers were calculated for minimum transport boundary points from pipeline conveying characteristics of fly ash and cement in two pipelines (65 mm I.D × 254 m; 80/100 mm I.D × 407 m). These values were correlated with yield stress at standard test conditions, revealing that higher yield stress corresponded to greater Froude number requirements for transport. A new model was developed to predict the pipeline pressure drop (during pneumatic conveying of powders) using powder yield stress. The model has been validated by using it to predict the pipeline pressure drop for higher tonnages by comparing the experimental values of pressure drops versus predicted values. Results have shown the new model could predict pressure drop quite accurately.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"472 ","pages":"Article 122159"},"PeriodicalIF":4.6,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146035834","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}
Pub Date : 2026-01-19DOI: 10.1016/j.powtec.2026.122160
Xiaobing Zhang , Ran An
Ash deposition is an urgent problem that deteriorates heat transfer efficiency and reduces the operational safety of equipment. This paper provides a comprehensive review of the development of ash deposition modeling, including the deposition mechanisms, particle adhesion criteria, heat transfer modeling, and the evolution of deposition layer morphology. In addition, the deposition suppression models are elaborated and analyzed for the most common tube bundle structures in heat exchange equipment, emphasizing the effectiveness of each model in improving the anti-deposition performance under applicable conditions. As an auxiliary means of experimentation, numerous attempts have been made to develop numerical models suitable for various conditions to enhance simulation accuracy. Some primary deposition mechanisms have been proposed and applied to predict particle transport behavior, showing unique deposition mechanisms for particles with different properties. As a key component of dynamic comprehensive deposition models, a series of sub-models describing particle deposition behavior and heat transfer mechanisms have been developed. The main focus on deposition layer parameters includes porosity, effective thermal conductivity, and surface emissivity, all dependent on deposit layer characteristics, with various models proposed for solving these. Finally, this paper summarizes the development of deposition modeling, identifies current challenges, and offers suggestions for future research in deposition. This paper aims to provide a valuable modeling review and reference for research in the deposition field, aiding in a deeper understanding of deposition mechanisms and the refinement of anti-deposition strategies.
{"title":"A review of ash deposition modeling and anti-deposition structures","authors":"Xiaobing Zhang , Ran An","doi":"10.1016/j.powtec.2026.122160","DOIUrl":"10.1016/j.powtec.2026.122160","url":null,"abstract":"<div><div>Ash deposition is an urgent problem that deteriorates heat transfer efficiency and reduces the operational safety of equipment. This paper provides a comprehensive review of the development of ash deposition modeling, including the deposition mechanisms, particle adhesion criteria, heat transfer modeling, and the evolution of deposition layer morphology. In addition, the deposition suppression models are elaborated and analyzed for the most common tube bundle structures in heat exchange equipment, emphasizing the effectiveness of each model in improving the anti-deposition performance under applicable conditions. As an auxiliary means of experimentation, numerous attempts have been made to develop numerical models suitable for various conditions to enhance simulation accuracy. Some primary deposition mechanisms have been proposed and applied to predict particle transport behavior, showing unique deposition mechanisms for particles with different properties. As a key component of dynamic comprehensive deposition models, a series of sub-models describing particle deposition behavior and heat transfer mechanisms have been developed. The main focus on deposition layer parameters includes porosity, effective thermal conductivity, and surface emissivity, all dependent on deposit layer characteristics, with various models proposed for solving these. Finally, this paper summarizes the development of deposition modeling, identifies current challenges, and offers suggestions for future research in deposition. This paper aims to provide a valuable modeling review and reference for research in the deposition field, aiding in a deeper understanding of deposition mechanisms and the refinement of anti-deposition strategies.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"472 ","pages":"Article 122160"},"PeriodicalIF":4.6,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146090185","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}
Pub Date : 2026-01-19DOI: 10.1016/j.powtec.2026.122155
Chao Zhang , Weidong Song , Jinping Guo , Yuan Wang , Xiaolin Wang , Xiangyang Li
Deep underground mining operations are frequently characterized by high-temperature environments, which pose significant challenges to stope stability and the performance of backfill structures. To promote the sustainable utilization of solid waste, this study systematically investigated the hydration behavior, microstructural evolution, and mechanical performance of tailings-based cemented backfill under elevated temperature conditions. Experimental tests were conducted to quantify the effects of curing temperature on compressive strength and hydration heat evolution. Furthermore, the Krstulovic–Dabic kinetic model and CEMHYD3D numerical simulation were integrated to elucidate the hydration kinetics and the underlying micro-mechanisms. The results show that the compressive strength of the backfill exhibits an “increase–decrease” trend with rising temperature, with an optimal curing temperature around 40 °C. The hydration kinetics analysis reveals that the process follows a typical three-stage evolution pattern: Nucleation and Crystal Growth (NG), Phase Boundary Interactions (I), and Diffusion (D). Among these, the I-stage (Phase Boundary Interactions) plays a critical role in product formation and structural densification. Microstructural observations indicate that elevated temperatures accelerate early hydration reactions, but excessive heat (>40 °C) leads to non-uniform product distribution, increased porosity, and microcrack formation. The fractal dimension of pores is negatively correlated with mechanical parameters, confirming that structural compactness is a key factor controlling strength development. These findings elucidate the thermo-hydration coupling mechanism of tailings-based backfill under high temperatures and provide actionable theoretical support for optimizing curing protocols and mix designs for green backfilling and efficient solid waste utilization in deep mining environments.
{"title":"Hydration behavior, microstructural evolution, and mechanical performance of tailings-based solid waste cemented backfill under high-temperature conditions","authors":"Chao Zhang , Weidong Song , Jinping Guo , Yuan Wang , Xiaolin Wang , Xiangyang Li","doi":"10.1016/j.powtec.2026.122155","DOIUrl":"10.1016/j.powtec.2026.122155","url":null,"abstract":"<div><div>Deep underground mining operations are frequently characterized by high-temperature environments, which pose significant challenges to stope stability and the performance of backfill structures. To promote the sustainable utilization of solid waste, this study systematically investigated the hydration behavior, microstructural evolution, and mechanical performance of tailings-based cemented backfill under elevated temperature conditions. Experimental tests were conducted to quantify the effects of curing temperature on compressive strength and hydration heat evolution. Furthermore, the Krstulovic–Dabic kinetic model and CEMHYD3D numerical simulation were integrated to elucidate the hydration kinetics and the underlying micro-mechanisms. The results show that the compressive strength of the backfill exhibits an “increase–decrease” trend with rising temperature, with an optimal curing temperature around 40 °C. The hydration kinetics analysis reveals that the process follows a typical three-stage evolution pattern: Nucleation and Crystal Growth (NG), Phase Boundary Interactions (I), and Diffusion (D). Among these, the I-stage (Phase Boundary Interactions) plays a critical role in product formation and structural densification. Microstructural observations indicate that elevated temperatures accelerate early hydration reactions, but excessive heat (>40 °C) leads to non-uniform product distribution, increased porosity, and microcrack formation. The fractal dimension of pores is negatively correlated with mechanical parameters, confirming that structural compactness is a key factor controlling strength development. These findings elucidate the thermo-hydration coupling mechanism of tailings-based backfill under high temperatures and provide actionable theoretical support for optimizing curing protocols and mix designs for green backfilling and efficient solid waste utilization in deep mining environments.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"472 ","pages":"Article 122155"},"PeriodicalIF":4.6,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146035746","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}
Pub Date : 2026-01-16DOI: 10.1016/j.powtec.2026.122154
Zheng Yu , Baolei Liu , Liang Zhao , Cunyou Zou
Particle migration and clogging in porous media significantly impact reservoir development and groundwater remediation. However, systematic comparisons of typical pore-throat structures and their influence on particle dynamics remain insufficient. This study employs a fully resolved CFD-DEM-IBM framework integrated with dynamic mesh refinement to simulate particle transport and clogging in three representative pore-throat geometries: constricted, bifurcated, and large-pore throats. Results show that, in constricted pore throat, the propensity for clogging is primarily governed by the particle-to-throat size ratio and the hydrodynamic conditions, with a clear transition observed from free migration to intermittent and finally stable clogging as particle size increases. For bifurcated pore throat, clogging in the narrower branch induces significant flow redistribution and markedly alters the local pressure field. Within large pore throat, particle accumulation leads to complex internal flow patterning and can ultimately result in throat clogging. The proposed model accurately captures clogging dynamics and provides a reference for predicting particle migration and clogging behavior in complex porous media.
{"title":"Numerical simulation study on particle migration and clogging behavior in typical pore-throat structures based on the resolved CFD-DEM method","authors":"Zheng Yu , Baolei Liu , Liang Zhao , Cunyou Zou","doi":"10.1016/j.powtec.2026.122154","DOIUrl":"10.1016/j.powtec.2026.122154","url":null,"abstract":"<div><div>Particle migration and clogging in porous media significantly impact reservoir development and groundwater remediation. However, systematic comparisons of typical pore-throat structures and their influence on particle dynamics remain insufficient. This study employs a fully resolved CFD-DEM-IBM framework integrated with dynamic mesh refinement to simulate particle transport and clogging in three representative pore-throat geometries: constricted, bifurcated, and large-pore throats. Results show that, in constricted pore throat, the propensity for clogging is primarily governed by the particle-to-throat size ratio and the hydrodynamic conditions, with a clear transition observed from free migration to intermittent and finally stable clogging as particle size increases. For bifurcated pore throat, clogging in the narrower branch induces significant flow redistribution and markedly alters the local pressure field. Within large pore throat, particle accumulation leads to complex internal flow patterning and can ultimately result in throat clogging. The proposed model accurately captures clogging dynamics and provides a reference for predicting particle migration and clogging behavior in complex porous media.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"472 ","pages":"Article 122154"},"PeriodicalIF":4.6,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146035831","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}
Pub Date : 2026-01-16DOI: 10.1016/j.powtec.2026.122153
Ananthakrishna Sajithkumar , Yunhui Chen , Jordi Pijuan , Benedicta Arhatari , Andrew Stevenson , Maria Niubó , Mark Easton
The characterization of metal powders is crucial for assessing their suitability in additive manufacturing applications. Synchrotron X-ray computed tomography provides high-resolution, three-dimensional data for evaluating particle morphology and internal porosity. However, accurate interpretation of such datasets, particularly for metallic powders, remains challenging due to reconstruction artifacts and segmentation sensitivity. This study presents an optimized post-reconstruction segmentation framework using marker-controlled watershed implemented using Fiji, aimed at improving robustness and reproducibility in synchrotron-based powder analysis. Aluminum alloy powders sieved to less than 150 μm and less than 100 μm were analyzed to investigate the influence of image quality, filtering, and marker definition on segmentation outcomes. The finer powder sample, affected by noise voxels, required a two-step adaptive filtering strategy and careful tuning of the contrast threshold based on the distance map, using the h-parameter in the extended maxima function. In contrast, the coarser sample, exhibiting minimal noise, showed stable segmentation performance across a broader range of threshold values. Morphological metrics such as Feret diameter and Equivalent Spherical Diameter were employed to evaluate the accuracy of segmentation and particle shape. Results indicate that dataset-specific preprocessing and distance-driven marker definition are essential for minimizing under- and over-segmentation in noise-affected data. The proposed framework enhances the reliability of synchrotron X-ray computed tomography-based powder analysis, supporting its use in quality control of feedstock materials for additive manufacturing.
{"title":"Refined segmentation of synchrotron XCT-based characterization of metal powders under different noise conditions","authors":"Ananthakrishna Sajithkumar , Yunhui Chen , Jordi Pijuan , Benedicta Arhatari , Andrew Stevenson , Maria Niubó , Mark Easton","doi":"10.1016/j.powtec.2026.122153","DOIUrl":"10.1016/j.powtec.2026.122153","url":null,"abstract":"<div><div>The characterization of metal powders is crucial for assessing their suitability in additive manufacturing applications. Synchrotron X-ray computed tomography provides high-resolution, three-dimensional data for evaluating particle morphology and internal porosity. However, accurate interpretation of such datasets, particularly for metallic powders, remains challenging due to reconstruction artifacts and segmentation sensitivity. This study presents an optimized post-reconstruction segmentation framework using marker-controlled watershed implemented using Fiji, aimed at improving robustness and reproducibility in synchrotron-based powder analysis. Aluminum alloy powders sieved to less than 150 μm and less than 100 μm were analyzed to investigate the influence of image quality, filtering, and marker definition on segmentation outcomes. The finer powder sample, affected by noise voxels, required a two-step adaptive filtering strategy and careful tuning of the contrast threshold based on the distance map, using the h-parameter in the extended maxima function. In contrast, the coarser sample, exhibiting minimal noise, showed stable segmentation performance across a broader range of threshold values. Morphological metrics such as Feret diameter and Equivalent Spherical Diameter were employed to evaluate the accuracy of segmentation and particle shape. Results indicate that dataset-specific preprocessing and distance-driven marker definition are essential for minimizing under- and over-segmentation in noise-affected data. The proposed framework enhances the reliability of synchrotron X-ray computed tomography-based powder analysis, supporting its use in quality control of feedstock materials for additive manufacturing.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"472 ","pages":"Article 122153"},"PeriodicalIF":4.6,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146035830","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}
Pub Date : 2026-01-16DOI: 10.1016/j.powtec.2026.122126
Haiyan Liu , Hongbo Qu , Xuefei Lu , Jinyong Guo , Xianmei He , Ying Li , Xiaoxuan Fan , Xiangnan Xu
To achieve classified, quality-based grain storage, the grain industry has proposed a novel silo design incorporating partition walls within traditional circular silos. After adding these partitions, the silo cross-section transforms from circular to sector-shaped, resulting in distinct discharging flow patterns and lateral pressure characteristics compared to conventional center-discharge silos. This study established a 1000 mm-high, 250 mm-radius sector silo model via SolidWorks. Using soybeans as stored material, three parallel filling and discharging simulations were conducted with EDEM. Methods such as stratified dyeing and force chain analysis were employed to investigate flow patterns and lateral pressure distribution. Results show that during static storage, force chain strength in the lower silo section was about 1.8 times that of the upper section, while angle-constrained regions exhibit roughly 1.2 times the strength of unconstrained areas. This results in peak static lateral pressures concentrating in the middle-lower portion of the silo, with higher peaks near the angle-constrained zones. Discharge flow evolves through three stages: “mass flow–mixed flow–funnel flow,” with a “lower inside, higher outside” height profile influenced by angular constraints. Force chains cyclically form and collapse during discharge. About 70% of measurement points showed peak dynamic pressure during mass flow, with maxima concentrated near the flow transition depth. The average dynamic pressure at 94% of points exceeded GB50077-2017 code values, highlighting code limitations for multi-compartment silos. Overpressure occurred at all points, more severely in middle-upper sections. Modified lateral pressure formulas are provided, offering a theoretical reference for sector silo design.
{"title":"Discrete element method reveals flow mechanism and lateral pressure characteristics of grain storage in sector-shaped silos","authors":"Haiyan Liu , Hongbo Qu , Xuefei Lu , Jinyong Guo , Xianmei He , Ying Li , Xiaoxuan Fan , Xiangnan Xu","doi":"10.1016/j.powtec.2026.122126","DOIUrl":"10.1016/j.powtec.2026.122126","url":null,"abstract":"<div><div>To achieve classified, quality-based grain storage, the grain industry has proposed a novel silo design incorporating partition walls within traditional circular silos. After adding these partitions, the silo cross-section transforms from circular to sector-shaped, resulting in distinct discharging flow patterns and lateral pressure characteristics compared to conventional center-discharge silos. This study established a 1000 mm-high, 250 mm-radius sector silo model via SolidWorks. Using soybeans as stored material, three parallel filling and discharging simulations were conducted with EDEM. Methods such as stratified dyeing and force chain analysis were employed to investigate flow patterns and lateral pressure distribution. Results show that during static storage, force chain strength in the lower silo section was about 1.8 times that of the upper section, while angle-constrained regions exhibit roughly 1.2 times the strength of unconstrained areas. This results in peak static lateral pressures concentrating in the middle-lower portion of the silo, with higher peaks near the angle-constrained zones. Discharge flow evolves through three stages: “mass flow–mixed flow–funnel flow,” with a “lower inside, higher outside” height profile influenced by angular constraints. Force chains cyclically form and collapse during discharge. About 70% of measurement points showed peak dynamic pressure during mass flow, with maxima concentrated near the flow transition depth. The average dynamic pressure at 94% of points exceeded GB50077-2017 code values, highlighting code limitations for multi-compartment silos. Overpressure occurred at all points, more severely in middle-upper sections. Modified lateral pressure formulas are provided, offering a theoretical reference for sector silo design.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"472 ","pages":"Article 122126"},"PeriodicalIF":4.6,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146035747","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}
Pub Date : 2026-01-16DOI: 10.1016/j.powtec.2026.122130
Qin Xiao , Chi Ma , Chiyu Huang , Zeng Liu , Huai He , Hanwen Zhang , Yu Zhou , Shuangkou Chen , Huimin Sun , Chuanyun Dai
This research utilizes the Discrete Element Method (DEM) to explore the dynamics of particle breakage in hammer mills. In order to precisely simulate the fracture behavior of pharmaceutical ingredients, the parameters of the Hertz-Mindlin with Bonding V2 (HMB V2) model which is employed to characterize particle breakage need to be appropriately calibrated. A Radial Basis Function (RBF) model was developed to efficiently calibrate HMB V2 parameters within DEM simulations of the hammer milling process. The RBF-based calibration method provides higher predictive accuracy than traditional approaches and effectively captures strongly coupled parameter interactions. The findings indicated that rotor speed and screen aperture size exerted a substantial influence on bond status, particle size distribution (PSD), and energy dissipation. Moreover, particle breakage was primarily regulated by shear forces. By taking power consumption and hammer wear, the optimal process parameters were determined. This study offers an efficient and reliable approach for DEM parameter calibration and process optimization in pharmaceutical milling.
本研究利用离散元法(DEM)对锤式磨机颗粒破碎动力学进行了研究。为了准确模拟药物成分的断裂行为,用于表征颗粒断裂的Hertz-Mindlin with Bonding V2 (HMB V2)模型的参数需要进行适当的校准。建立了径向基函数(RBF)模型,在锤击铣削过程的DEM模拟中有效地标定了HMB V2参数。基于rbf的校准方法比传统方法具有更高的预测精度,并能有效捕获强耦合参数相互作用。结果表明,转子转速和筛孔尺寸对黏结状态、粒径分布和能量耗散有较大影响。颗粒破碎主要受剪切力调控。通过计算能耗和锤头磨损,确定了最优工艺参数。该研究为制药加工过程的DEM参数标定和工艺优化提供了有效可靠的方法。
{"title":"Calibration of discrete element parameters using an RBF model and effect of milling parameters on particle breakage in a hammer mill","authors":"Qin Xiao , Chi Ma , Chiyu Huang , Zeng Liu , Huai He , Hanwen Zhang , Yu Zhou , Shuangkou Chen , Huimin Sun , Chuanyun Dai","doi":"10.1016/j.powtec.2026.122130","DOIUrl":"10.1016/j.powtec.2026.122130","url":null,"abstract":"<div><div>This research utilizes the Discrete Element Method (DEM) to explore the dynamics of particle breakage in hammer mills. In order to precisely simulate the fracture behavior of pharmaceutical ingredients, the parameters of the Hertz-Mindlin with Bonding V2 (HMB V2) model which is employed to characterize particle breakage need to be appropriately calibrated. A Radial Basis Function (RBF) model was developed to efficiently calibrate HMB V2 parameters within DEM simulations of the hammer milling process. The RBF-based calibration method provides higher predictive accuracy than traditional approaches and effectively captures strongly coupled parameter interactions. The findings indicated that rotor speed and screen aperture size exerted a substantial influence on bond status, particle size distribution (PSD), and energy dissipation. Moreover, particle breakage was primarily regulated by shear forces. By taking power consumption and hammer wear, the optimal process parameters were determined. This study offers an efficient and reliable approach for DEM parameter calibration and process optimization in pharmaceutical milling.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"472 ","pages":"Article 122130"},"PeriodicalIF":4.6,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146035748","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}