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Mesoscale fabrication of a complex surface for integral impeller blades

Xibin WANG,Tianfeng ZHOU,Lijing XIE,Li JIAO,Zhibing LIU,Zhiqiang LIANG,Pei YAN

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 1,   Pages 116-131 doi: 10.1007/s11465-017-0426-1

Abstract: However, the machining of a mesoscale impeller with a complex integral surface is difficult because ofA mesoscale component is usually manufactured by milling.The fractal theory-based characterization shows that the completed mesoscale integral impeller exhibits

Keywords： mesoscale fabrication     micro-milling tool     mesoscale milling     impeller blade    

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Effect of adjusted mesoscale drag model on flue gas desulfurization in powder-particle spouted beds

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6,   Pages 909-920 doi: 10.1007/s11705-021-2100-8

Abstract: An energy minimum multiscale model was adjusted to simulate the mesoscale structure of the flue gas desulfurizationThe obtained results revealed that the spout morphology simulated by the adjusted mesoscale drag modelIn addition, more thorough gas radial mixing was achieved using the adjusted mesoscale drag model.efficiency was 75.03%, while the desulfurization efficiencies obtained by the Gidaspow and adjusted mesoscale

Keywords： adjusted mesoscale drag model     particle image velocimetry     water vaporization     desulfurization reaction    

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Development of a hydrodynamic model and the corresponding virtual software for dual-loop circulating fluidized beds

Shanwei Hu, Xinhua Liu

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 3,   Pages 579-590 doi: 10.1007/s11705-020-1953-6

Abstract: Dual-loop circulating fluidized bed (CFB) reactors have been widely applied in industry because of their good heat and mass transfer characteristics and continuous handling ability. However, the design of such reactors is notoriously difficult owing to the poor understanding of the underlying mechanisms, meaning it has been heavily based on empiricism and stepwise experiments. Modeling the gas-solid CFB system requires a quantitative description of the multiscale heterogeneity in the sub-reactors and the strong coupling between them. This article proposed a general method for modeling multi-loop CFB systems by utilizing the energy minimization multiscale (EMMS) principle. A full-loop modeling scheme was implemented by using the EMMS model and/or its extension models to compute the hydrodynamic parameters of the sub-reactors, to achieve the mass conservation and pressure balance in each circulation loop. Based on the modularization strategy, corresponding interactive simulation software was further developed to facilitate the flexible creation and fast modeling of a customized multi-loop CFB reactor. This research can be expected to provide quantitative references for the design and scale-up of gas-solid CFB reactors and lay a solid foundation for the realization of virtual process engineering.

Keywords： circulating fluidized bed     mathematical modeling     energy minimization multiscale     virtual fluidization     mesoscalestructure    

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Design innovation of mesoscale robotic swarms: applications to cooperative urban sensing and mapping Special Feature on Intelligent Design

Audelia G. DHARMAWAN, Gim Song SOH, Shaohui FOONG, Roland BOUFFANAIS, Kristin L. WOOD

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 12, doi: 10.1631/FITEE.1900384

Abstract: Development of mesoscale robots is gaining interest in security and surveillance domains due to theirsystem architecture and functional layout; (3) the developed and implemented design principles for mesoscalerobotic systems; (4) the various key algorithms developed for effective collective operations of mesoscaleThis study includes our perception of the embedded hardware requirements for reliable operations of mesoscale

Keywords： System-of-systems design     Mesoscale robot     Swarm     Urban sensing    

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and Landscape of the Knowledge System: Multilevel Structures, Each Multiscaled with Complexity at the Mesoscale

Jinghai Li

Engineering 2016, Volume 2, Issue 3,   Pages 276-285 doi: 10.1016/J.ENG.2016.03.001

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Effect of catalyst layer mesoscopic pore-morphology on cold start process of PEM fuel cells

Ahmed Mohmed DAFALLA, Fangming JIANG

Frontiers in Energy 2021, Volume 15, Issue 2,   Pages 460-472 doi: 10.1007/s11708-021-0733-4

Abstract: The CCL mesoscale morphology is characterized by two tortuosity factors of the ionomer network and porestructure, respectively., whereas starting up a cell with a CCL of more tortuous mesoscale morphology may fail.The CCL of less tortuous pore structure reduces the water back diffusion resistance from the CCL to protonpreparation methods, which can create catalyst layers of larger size primary pores and less tortuous pore structure

Keywords： cold start     energy conversion     fuel cells     mesoscale morphology     tortuosity     water management    

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Complexity at Mesoscales: A Common Challenge in Developing Artificial Intelligence Perspective

Li Guo, Jun Wu, Jinghai Li

Engineering 2019, Volume 5, Issue 5,   Pages 924-929 doi: 10.1016/j.eng.2019.08.005

Abstract: Mesoscience provides a concept to understand the mechanism of the spatiotemporal multiscale structure

Keywords： Artificial intelligence     Deep learning     Mesoscience     Mesoscale     Complex system    

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Mesoscopic Modeling Approach and Application for Steel Fiber Reinforced Concrete under Dynamic Loading: A Review Review

张锦华, 吴彰钰, 余红发, 麻海燕, 达波

Engineering 2022, Volume 16, Issue 9,   Pages 220-238 doi: 10.1016/j.eng.2022.01.011

Abstract: under dynamic loads, the mesoscopic modeling approach that assumes SFRC to be composed of different mesoscaleGeneration approaches for the SFRC mesoscale model in the simulation works, including steel fiber, coarseSFRC under dynamic loads (i.e., compression, tension, and contact blast) simulated using the general mesoscaleFinally, some critical analysis on the current shortcomings of the mesoscale modeling of SFRC is

Keywords： Steel fiber reinforced concrete     Mesoscale modeling     Dynamic loading     Materials model     Interfacial characteristic    

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Influence of pore structure on biologically activated carbon performance and biofilm microbial characteristics

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1419-1

Abstract:

• Pore structure affects biologically activated carbon performance.

Keywords： Granular activated carbon     Biologically activated carbon filter     Bacterial community structure     Porestructure    

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Hierarchical fractal structure of perfect single-layer graphene

T. Zhang, K. Ding

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4,   Pages 371-382 doi: 10.1007/s11465-013-0279-1

Abstract:

The atomic lattice structure of perfect single-layer graphene that can actually be regarded as a kindof hierarchical fractal structure from the perspective of fractal geometry was studied for the firstThree novel and special discoveries on hierarchical fractal structure and sets were unveiled upon examinationThe interior fractal-type structure was discovered to be the fifth space-filling curve from physicalA fundamental example of a multi-fractal structure was also presented.

Keywords： hierarchical fractal structure     fractal dimension     the fifth space-filling curve     multi-fractal structure    

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Floating forest: A novel breakwater-windbreak structure against wind and wave hazards

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5,   Pages 1111-1127 doi: 10.1007/s11709-021-0757-1

Abstract: A novel floating breakwater-windbreak structure (floating forest) has been designed for the protectionThe modular arch-shaped concrete structure is positioned perpendicularly to the direction of the prevailingThe structure below the water surface acts as a porous breakwater with wave scattering capability.

Keywords： floating structure     breakwater     windbreak     hydrodynamic     CFD    

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Bicontinuous porous membranes with micro-nano composite structure using a facile atomization-assisted

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 8,   Pages 1268-1280 doi: 10.1007/s11705-022-2143-5

Abstract: The micro-nano composite structure can endow separation membranes with special surface properties, butusing this method, a bicontinuous porous microfiltration membrane with robust micro-nano composite structureThe formation mechanism of the micro-nano composite structure was proposed.

Keywords： atomization     nonsolvent induced phase separation     bicontinuous porous structure     micro-nano compositestructure     oil-water separation    

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Smart optical-fiber structure monitoring based on granular computing

Guan LU, Dakai LIANG,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4,   Pages 462-465 doi: 10.1007/s11465-009-0073-2

Abstract: self-diagnosing system in health monitoring has become an important direction of smart materials and structurethe requirement of damage detection by analyzing digital signals and character signals of the smart structurepaper investigates an optic fiber smart layer and presents a method for realizing optic fiber smart structureAfter the analysis, it is presumed that optic fiber smart structure monitoring based on granular computation

Keywords： smart material and structure     GrC     optical fiber sensor     rough set     clustering algorithm    

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Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 305-317 doi: 10.1007/s11709-021-0725-9

Abstract: Today, the most commonly used civil infrastructure inspection method is based on a visual assessment conducted by certified inspectors following prescribed protocols. However, the increase in aggressive environmental and load conditions, coupled with the achievement of many structures of the life-cycle end, has highlighted the need to automate damage identification and satisfy the number of structures that need to be inspected. To overcome this challenge, this paper presents a method for automating concrete damage classification using a deep convolutional neural network. The convolutional neural network was designed after an experimental investigation of a wide number of pretrained networks, applying the transfer-learning technique. Training and validation were conducted using a database built with 1352 images balanced between “undamaged”, “cracked”, and “delaminated” concrete surfaces. To increase the network robustness compared to images in real-world situations, different image configurations have been collected from the Internet and on-field bridge inspections. The GoogLeNet model, with the highest validation accuracy of approximately 94%, was selected as the most suitable network for concrete damage classification. The results confirm that the proposed model can correctly classify images from real concrete surfaces of bridges, tunnels, and pavement, resulting in an effective alternative to the current visual inspection techniques.

Keywords： concrete structure     infrastructures     visual inspection     convolutional neural network     artificial intelligence    

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Catalyst particle shapes and pore structure engineering for hydrodesulfurization and hydrodenitrogenation

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6,   Pages 897-908 doi: 10.1007/s11705-021-2127-x

Abstract: Catalyst particle shapes and pore structure engineering are crucial for alleviating internal diffusion

Keywords： hydrodesulfurization     hydrodenitrogenation     particle shape     pore structure    

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Title Author Date Type Operation

Mesoscale fabrication of a complex surface for integral impeller blades

Xibin WANG,Tianfeng ZHOU,Lijing XIE,Li JIAO,Zhibing LIU,Zhiqiang LIANG,Pei YAN

Journal Article

Effect of adjusted mesoscale drag model on flue gas desulfurization in powder-particle spouted beds

Journal Article

Development of a hydrodynamic model and the corresponding virtual software for dual-loop circulating fluidized beds

Shanwei Hu, Xinhua Liu

Journal Article

Design innovation of mesoscale robotic swarms: applications to cooperative urban sensing and mapping

Audelia G. DHARMAWAN, Gim Song SOH, Shaohui FOONG, Roland BOUFFANAIS, Kristin L. WOOD

Journal Article

and Landscape of the Knowledge System: Multilevel Structures, Each Multiscaled with Complexity at the Mesoscale

Jinghai Li

Journal Article

Effect of catalyst layer mesoscopic pore-morphology on cold start process of PEM fuel cells

Ahmed Mohmed DAFALLA, Fangming JIANG

Journal Article

Complexity at Mesoscales: A Common Challenge in Developing Artificial Intelligence

Li Guo, Jun Wu, Jinghai Li

Journal Article

Mesoscopic Modeling Approach and Application for Steel Fiber Reinforced Concrete under Dynamic Loading: A Review

张锦华, 吴彰钰, 余红发, 麻海燕, 达波

Journal Article

Influence of pore structure on biologically activated carbon performance and biofilm microbial characteristics

Journal Article

Hierarchical fractal structure of perfect single-layer graphene

T. Zhang, K. Ding

Journal Article

Floating forest: A novel breakwater-windbreak structure against wind and wave hazards

Journal Article

Bicontinuous porous membranes with micro-nano composite structure using a facile atomization-assisted

Journal Article

Smart optical-fiber structure monitoring based on granular computing

Guan LU, Dakai LIANG,

Journal Article

Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Journal Article

Catalyst particle shapes and pore structure engineering for hydrodesulfurization and hydrodenitrogenation

Journal Article