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Numerical study of effects of hydrogen addition on methane combustion behaviors

Journal of Iron and Steel Research International 2023年第11期30卷 2173-2185页

作者： Dian-yu E Ling-yi Weng Guang-wu Tang Jing Li Guang-chao Wei Jia-xin Cui Jiangxi Provincial Key Laboratory for Simulation and Modelling of Particulate Systems Jiangxi University of Science and TechnologyNanchang330013JiangxiChina International Institute for Innovation Jiangxi University of Science and TechnologyNanchang330013JiangxiChina Shenzhen Smoore Technology Limited Shenzhen518102GuangdongChina ARC Research Hub for Computational Particle Technology Department of Chemical and Biological EngineeringMonash UniversityClaytonVIC3800Australia School of Transportation and Vehicle Engineering Shandong University of TechnologyZibo255000ShandongChina

The methane combustion with hydrogen addition can effectively reduce carbon emissions in the iron and steel making industry,while the combustion mechanism is still poorly *** oxy-fuel combustion of methane with hydrogen addition in a 0.8 MW oxy-natural gas combustion experimental furnace was numerically studied to investigate six different combustion *** results show that the 28-step chemical reaction mechanism is the optimal recommendation for the simulation balancing the numerical accuracy and computational *** the hydrogen enrichment increases in fuel,the highest flame temperature ***,the chemical reaction accelerates with enlarging the peak of the highest flame temperature and intermediate OH *** the hydrogen enrichment reaches 75 vol.%,the flame front is the farthest,and the flame high-temperature zone occupies the largest proportion corresponding to the most vigorous chemical reactions in the same oxygen supply.

关键词： Oxy-fuel combustion Hydrogen Combustion mechanism Flame temperature simulation Modeling

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Particle shape effect on hydrodynamics and heat transfer in spouted bed:A CFD-DEM study

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Particuology 2022年第10期20卷 10-21页

作者： Dianyu E Peng Zhou Suya Guo Jia Zeng Jiaxin Cui Youyuan Jiang Yuanxiang Lu Zeyi Jiang Zhengquan Li Shibo Kuang Jiangxi Provincial Key Laboratory for Simulation and Modelling of Particulate Systems Jiangxi University of Science and TechnologyGanzhou 341000China Ironmaking Plant Xiangtan Iron and Steel Corporation of Hunan HualingXiangtan 411101China School of Energy and Environmental Engineering University of Science and Technology BeijingBeijing 100083China ARC Research Hub for Computational Particle Technology Department of Chemical EngineeringMonash UniversityClaytonVIC 3800Australia

Spouted bed has drawn much attention due to its good heat and mass transfer efficiency in many chemical *** the flow patterns and heat and mass transfer inside a spouted bed can help optimize the spouting ***,in this study,the effects of particle shape on the hydrodynamics and heat transfer in a spouted bed are *** is done by using a validated computational fluid dynamics-discrete element method(CFD-DEM)model,considering volume-equivalent spheres and oblate and prolate *** results are analysed in detail in terms of the flow pattern,microstruc-ture,and heat transfer *** numerical results show that the prolate spheroids(Ar=2.4)form the largest bubble from the beginning of the spouting process and rise the highest because the fluid drag forces can overcome the interlocking and particle-particle frictional *** with spherical particles,ellipsoidal spheroids have better mobility because of the stronger rotational kinetic energy resulting from the rough surfaces and nonuniform *** addition,the oblate spheroid system exhibits better heat transfer performance benefiting from the larger surface area,while prolate spheroids have poor heat transfer efficiency because of their orientation *** findings can serve as a reference for optimizing the design and operation of complex spouted beds.

关键词： Spouted bed Gas-solid flow Particle shape CFD-DEM Heat transfer

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The effect of rotation speed and mixer size on granular flow and mixing in bladed mixers 9

The effect of rotation speed and mixer size on granular flow...

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9th International Conference on Micromechanics on Granular Media, Powders and Grains 2021

作者： Herman, Angga Gan, Jieqing Yu, Aibing Laboratory of Simulation and Modelling of Particulate System ARC Hub for Computational Particle Technology Department of Chemical Engineering Monash University MelbourneVIC3800 Australia

Bladed mixers are widely used in the industry for granular mixing. In the past decades, the mixing of particles in bladed mixers has been extensively investigated experimentally and numerically. Recently, GPU-based DEM has been employed to simulate various industrial-scale applications. This work aims to apply the GPU-based DEM to investigate the effect of rotation speed and mixer size on granular mixing in bladed mixers of different sizes. The simulation in a larger mixer revealed distinct particle flow patterns that well-describe the mixing mechanism which is difficult to observe in a smaller mixer. The Lacey’s mixing index curves revealed a delay in mixing as the mixer size increases. The mixing rate decreases as the mixer size increases and it can be improved with increasing rotation speed. The average particle velocity increase significantly with increasing rotation speed and mixer size. © The Authors, published by EDP Sciences.

关键词： Mixers (machinery)

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Improved Ductility by Reducing Powder Size in Laser Powder Bed Fusion of AlSi10Mg

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Additive Manufacturing Frontiers 2024年第1期3卷 160-172页

作者： Fuzhong Chu Haopeng Shen Jianwen Li Juan Hou Kai Zhang Zongyan Zhou Yuman Zhu Xinhua Wu Aijun Huang ARC Research Hub for Computational Particle Technology Department of Chemical and Biological EngineeringMonash UniversityClaytonVIC 3800Australia Monash Centre for Additive Manufacturing Monash UniversityNotting HillVIC 3168Australia Department of Materials Science and Engineering Monash UniversityClaytonVIC 3800Australia School of Materials and Chemistry University of Shanghai for Science and TechnologyShanghai200093China Jiangxi Provincial Key Laboratory for Simulation and Modelling of Particulate Systems Jiangxi University of Science and TechnologyNanchang330013China

Strict control of powder properties,especially particle size distribution(PSD),is critical in the laser powder bed fusion(LPBF)process to ensure the quality of the fabricated *** work shows that reducing the powder size could improve the ductility of LPBF fabricated *** tensile elongation increased from 4.1%to 8.8%when AlSi10Mg powder sizes(D50 value)decreased from 76μm to 16μm in the as-fabricated *** results showed that fine powder size stimulates epitaxial grain growth due to excessive *** presence of epitaxial columnar grains makes the crack path across inner melt pools more frequent and travels from the coarse melt pool zones to the fine melt pool *** work suggests that powder size is a crucial factor to be considered in maintaining repeatable mechanical properties in LPBF processes,particularly when ductility and ductility-dominated properties are critical.

关键词： Particle size distribution Laser powder bed fusion Ductility Epitaxial columnar grain

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Magnetic modulation of keyhole instability during laser welding and additive manufacturing

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Science (New York, N.Y.) 2025年第6736期387卷 864-869页

作者： Fan, Xianqiang Fleming, Tristan G. Clark, Samuel J. Fezzaa, Kamel Getley, Anna C M Marussi, Sebastian Wang, Hongze Leung, Chu Lun Alex Kao, Andrew Lee, Peter D. Mechanical Engineering University College London London United Kingdom Research Complex at Harwell Harwell Campus Didcot United Kingdom Department of Physics Engineering Physics & Astronomy Queen's University Kingston ON Canada X-ray Science Division Argonne National Laboratory Lemont IL United States State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai China School of Materials Science and Engineering Shanghai Jiao Tong University Shanghai China Computational Science and Engineering Group Centre for Advanced Simulation and Modelling University of Greenwich London United Kingdom

Keyhole instability during laser welding and laser powder bed fusion (LPBF) can cause keyhole collapse and pore formation. Using high-speed x-ray imaging, we demonstrate that the flow vortex-induced protrusion on the rear keyhole wall is crucial in initiating keyhole instability. Applying a transverse magnetic field suppresses the keyhole instability by driving a secondary thermoelectric magnetohydrodynamics (TEMHD) flow that alters the net flow vortex. This minimizes protrusions and large-amplitude keyhole oscillations. The suppression effectiveness depends on the laser scanning direction relative to the magnetic field orientation because this controls the Seebeck effect-induced Lorentz force's direction. We show that at LPBF length scales, electromagnetic damping is weak, and for alloys with a large Seebeck coefficient, TEMHD becomes the dominant mechanism controlling flow behind the keyhole.

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粉末床熔融的多材料铺粉过程中粉末扩散的数值研究

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Acta Mechanica Sinica 2023年第1期39卷 23-29页

作者：王林李二垒周宗彦张百成余艾冰 ARC Hub for Computational Particle Technology Department of Chemical & Biological Engineering Monash University Clayton VIC 3800 Australia Delft University of Technology Stevinweg 1 2628 CN Delft The Netherlands Jiangxi Provincial Key Laboratory for Simulation and Modelling of Particulate Systems Jiangxi University of Science and Technology Nanchang 330013 China Beijing Advanced Innovation Center Materials Genome Engineering Advanced Material & Technology Institute University of Science and Technology Beijing Beijing 100083 China

粉末床熔融增材制造技术已应用于功能梯度材料的制造.文献中报道了一种材料成分沿垂直于粉末铺粉方向变化的新设计.基于此设计,本工作采用离散单元数值模拟研究了两种密度差异较大的金属粉末在铺粉过程中颗粒的偏析情况.结果发现,在铺... 详细信息

粉末床熔融增材制造技术已应用于功能梯度材料的制造.文献中报道了一种材料成分沿垂直于粉末铺粉方向变化的新设计.基于此设计,本工作采用离散单元数值模拟研究了两种密度差异较大的金属粉末在铺粉过程中颗粒的偏析情况.结果发现,在铺粉过程中,较大密度粉末(重颗粒)一侧的铺粉量小于较小密度粉末(轻颗粒)的一侧的铺粉量.这种现象表明重颗粒从粉末密度大的一侧向粉末密度较小的一侧扩散.这种扩散受铺粉速度影响较大,铺粉速度越快,扩散越明显.但粉末层厚度对扩散影响不大.结果还表明,重颗粒与轻颗粒间的粒径差异影响扩散较大,减小重颗粒的粒径可能是控制颗粒偏析的一种方案.

关键词：材料成分颗粒偏析功能梯度材料离散单元金属粉末密度差异增材制造技术扩散影响

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Probing the unfolded configurations of a β-hairpin using sketch-map

arXiv

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arXiv 2023年

作者： Ardevol, Albert Tribello, Gareth A. Ceriotti, Michele Parrinello, Michele Computational Science Department of Chemistry and Applied Biosciences ETH Zurich USI-Campus Via Giuseppe Buffi 13 LuganoC-6900 Switzerland Atomistic Simulation Centre School of Mathematics and Physics Queen’s University Belfast BelfastBT7 1NN United Kingdom Laboratory of Computational Science and Modelling EPFL Switzerland

This work examines the conformational ensemble involved in β-hairpin folding by means of advanced molecular dynamics simulations and dimensionality reduction. A fully atomistic description of the protein and the surrounding solvent molecules is used and this complex energy landscape is sampled by means of parallel tempering metadynamics simulations. The ensemble of configurations explored is analysed using the recently proposed sketch-map algorithm. Further simulations allow us to probe how mutations affect the structures adopted by this protein. We find that many of the configurations adopted by a mutant are the same as those adopted by the wild type protein. Furthermore, certain mutations destabilize secondary structure containing configurations by preventing the formation of hydrogen bonds or by promoting the formation of new intramolecular contacts. Our analysis demonstrates that machine-learning techniques can be used to study the energy landscapes of complex molecules and that the visualizations that are generated in this way provide a natural basis for examining how the stabilities of particular configurations of the molecule are affected by factors such as temperature or structural mutations. Copyright © 2023, The Authors. All rights reserved.

关键词： Proteins

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Chaotic dynamics of granules-beam coupled vibration: Route and threshold

arXiv

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arXiv 2024年

作者： Li, Hang Li, Jian Fei, Hongzhu Hong, Guangyang Dong, Jinlu Yu, Aibing Key Laboratory of Structural Dynamics of Liaoning Province College of Sciences Northeastern University Shenyang110819 China ARC Research Hub for Computational Particle Technology Department of Chemical Engineering Monash University ClaytonVIC3800 Australia Centre for Simulation and Modelling of Particulate Systems Monash-Southeast University Joint Research Institute Suzhou China

Although granular materials are the second most processed in industry after water, the theoretical study of granules-structure interactions is not as advanced as that of fluid-structure interactions due to the lack of a unified view of the constitutive relation of granular materials. In the previous work [1], the theoretical model of granules-beam coupled vibration was developed and verified by experiments. However, it was also found that the system exhibits significant stiffness-softening Duffing characteristics even under micro-vibration, which implies that chaotic responses may be reached under certain conditions. To reveal the route and critical conditions for the system to enter chaos, in the present work, the chaotic dynamics of the system are studied. In qualitative analysis, Melnikov method is applied to analyze the instability behavior of the perturbed heteroclinic orbit of the system, thus the critical condition for the system to enter Smale horseshoe chaos, i.e., the Melnikov criterion, is obtained. The validity of the criterion is verified numerically. In experimental studies, the existence of chaotic responses and the route to chaos for granules-beam coupled vibrations is revealed. The experimental results suggest that the system response first experiences symmetry-breaking then undergoes a complete period-doubling cascade, and finally enters single-scroll chaos. In addition, although the Additional Dynamic Load (ADL) generated by granular media is highly complicated, a general and simple evolution pattern of the chaos threshold is found by parametric experiments, which is also supported by the Melnikov criterion. In short, the chaotic dynamics of granules-beam coupled vibration is revealed, which is a contribution to the engineering vibration aspect. On the theoretical side, an impressive result lies in that for the first time, the Melnikov criterion of such fractional-order systems is obtained in a global and closed form, which provides, respectively,

关键词： Granulation

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Balancing Ventilation Performance and Energy Conservation: An Integrated Multi-Objective Optimization and Preference Decision-Making Model for Optimizing Impinging Jet Ventilation

SSRN

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SSRN 2023年

作者： Dianyu, E. Tan, Cong Li, Jing Shi, Guangsi Liu, Sida Yi, Lei Zhou, Zongyan Cui, Jiaxin Jiangxi Provincial Key Laboratory for Simulation and Modelling of Particulate Systems Jiangxi University of Science and Technology Nanchang330013 China International Institute for Innovation Jiangxi University of Science and Technology Nanchang330013 China ARC Research Hub for Computational Particle Technology Department of Chemical and Biological Engineering Monash University VIC3800 Australia

Balancing the requirements for thermal comfort (TC) and indoor air quality (IAQ) while minimizing energy consumption (EC) is a challenging trade-off problem in impinging jet ventilation (IJV), which has great potential for energy savings. Multi-criteria decision-making (MCDM) technology is a rapid and effective approach to address this issue in response to changing outdoor weather conditions. However, conflicting ventilation performances, such as TC (e.g. DR, PMV), IAQ (e.g. ACE, LMAA) and EC, may present challenges in identifying optimal ventilation parameters. This study therefore proposes an integrated multi-objective optimization (MOO) and MCDM model to overcome this limitation. The former, which yields Pareto solutions, is to maintain ventilation performance indicators with good TC or IAQ standards within an acceptable range (e.g. -0.5 © 2023, The Authors. All rights reserved.

关键词： Energy conservation

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Balancing Ventilation Performance and Energy Conservation: An Integrated Multi-Objective Optimization and Preference Decision-Making Model for Optimizing Impinging Jet Ventilation

SSRN

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SSRN 2023年

作者： Dianyu, E. Tan, Cong Li, Jing Shi, Guangsi Liu, Yonggang Liu, Sida Yi, Lei Zhou, Zongyan Cui, Jiaxin Jiangxi Provincial Key Laboratory for Simulation and Modelling of Particulate Systems Jiangxi University of Science and Technology Nanchang330013 China International Institute for Innovation Jiangxi University of Science and Technology Nanchang330013 China ARC Research Hub for Computational Particle Technology Department of Chemical and Biological Engineering Monash University VIC3800 Australia

Balancing the requirements for thermal comfort (TC) and indoor air quality (IAQ) while minimizing energy consumption (EC) is a challenging trade-off problem in impinging jet ventilation (IJV), which has great potential for energy savings. Multi-criteria decision-making (MCDM) technology is a rapid and effective approach to address this issue in response to changing outdoor weather conditions. However, conflicting ventilation performances, such as TC (e.g. draught rate (DR), predictive mean vote (PMV)), IAQ (e.g. air change efficiency (ACE), local mean age of air (LMAA)) and EC, may present challenges in identifying optimal ventilation parameters. This study therefore proposes an integrated multi-objective optimization (MOO) and MCDM model to overcome this limitation. The former, which yields Pareto solutions, is to maintain ventilation performance indicators with good TC or IAQ standards within an acceptable range (e.g. -0.5 © 2023, The Authors. All rights reserved.

关键词： Energy conservation

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