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  1. Article ; Online: Fabrication and mechanical properties of fully austenitic gradient nanostructured 310S stainless steel

    Wang, Yonggang / Ding, Zhenyu / Gao, Zengliang / Wang, Xiaogui

    J Mater Sci. 2022 Aug., v. 57, no. 32, p. 15530-15548

    2022  , Page(s) 15530–15548

    Abstract: Gradient nanostructured (GNS) metallic materials have the potential to solve the strength-ductility dilemma. In this work, we investigate the depth-dependent microstructures and mechanical properties of the fully austenitic GNS 310S stainless steel ... ...

    Abstract Gradient nanostructured (GNS) metallic materials have the potential to solve the strength-ductility dilemma. In this work, we investigate the depth-dependent microstructures and mechanical properties of the fully austenitic GNS 310S stainless steel fabricated by an adaptive surface mechanical rolling treatment technique. It is of great significance to study the mechanism of gradient nanocrystallization (GNC) and strength-ductility synergy of fully austenitic GNS 310S under the condition that severe plastic deformation does not induce martensitic transformation. Microstructural observations showed that a fully austenitic GNS surface layer is formed at room temperature, with a grain size ranging from ~ 56 nm to tens of microns from surface to the core. The GNC of GNS 310S is dominated by dislocation activities, twins, and shear bands. GNS 310S exhibited excellent mechanical properties and achieved good strength-ductility synergy, which is attributed to a high gradient residual compressive stress and a thicker GNS surface layer.
    Keywords ambient temperature ; plastic deformation ; stainless steel
    Language English
    Dates of publication 2022-08
    Size p. 15530-15548
    Publishing place Springer US
    Document type Article ; Online
    ZDB-ID 2015305-3
    ISSN 1573-4803 ; 0022-2461
    ISSN (online) 1573-4803
    ISSN 0022-2461
    DOI 10.1007/s10853-022-07562-5
    Database NAL-Catalogue (AGRICOLA)

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  2. Article ; Online: Convolutional Neural Network-Based Machine Vision for Non-Destructive Detection of Flooding in Packed Columns.

    Liu, Yi / Jiang, Yuxin / Gao, Zengliang / Liu, Kaixin / Yao, Yuan

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 5

    Abstract: In chemical processes, packed columns are frequently employed in various unit operations. However, the flow rates of gas and liquid in these columns are often constrained by the risk of flooding. To ensure the safe and efficient operation of packed ... ...

    Abstract In chemical processes, packed columns are frequently employed in various unit operations. However, the flow rates of gas and liquid in these columns are often constrained by the risk of flooding. To ensure the safe and efficient operation of packed columns, it is crucial to detect flooding in real time. Conventional flooding monitoring methods rely heavily on manual visual inspections or indirect information from process variables, which limit the real-time accuracy of results. To address this challenge, we proposed a convolutional neural network (CNN)-based machine vision approach for non-destructive detection of flooding in packed columns. Real-time images of the packed column were captured using a digital camera and analyzed with a CNN model, which was been trained on a dataset of recorded images to identify flooding. The proposed approach was compared with deep belief networks and an integrated approach of principal component analysis and support vector machines. The feasibility and advantages of the proposed method were demonstrated through experiments on a real packed column. The results showed that the proposed method provides a real-time pre-alarm approach for detecting flooding, enabling process engineers to quickly respond to potential flooding events.
    Language English
    Publishing date 2023-02-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s23052658
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Exergoeconomic Analysis and Optimization of an Innovative Municipal Solid Waste to Energy plant integrated with Solar thermal system

    Sajid Khan, Muhammad / Huan, Qun / Lin, Junguang / Zheng, Rendong / Gao, Zengliang / Yan, Mi

    Energy conversion and management. 2022 Mar. 13,

    2022  

    Abstract: Waste to energy technology is the most promising method to deal with municipal solid waste. However, electrical efficiency of conventional waste-to-energy incineration is low due to the limits of steam turbine inlet parameters by the high moisture in ... ...

    Abstract Waste to energy technology is the most promising method to deal with municipal solid waste. However, electrical efficiency of conventional waste-to-energy incineration is low due to the limits of steam turbine inlet parameters by the high moisture in municipal solid waste with low heating value. An integration of municipal solid waste incineration plant with solar thermal system was proposed and designed to increase the energy production efficiency. The integration is accomplished by increasing the steam temperature with the secondary heating by solar parabolic dish system, installed between the exit of the incineration boiler and the entrance of steam turbine. Thermodynamic and exergoeconomic performance of the integrated waste-to-energy plant is evaluated using engineering equation solver, while optimization is performed to set the optimal parameters of the system. Thermodynamic results conclude that the thermal and exergetic efficiencies of the integrated plant are 30.57% and 32.42%, while for conventional plant are only 28.35% and 26.74% respectively. Exergoeconomic analysis reveals that the exergetic cost rate of destruction for the integrated plant is 907.3 $/hr and 25.61% more than the conventional design whereas, the total cost rate of the proposed system is approximately 1103 $/hr. Generally, it can be concluded that the solar integrated waste to energy plant depicts great performance from a thermodynamic, economic, and environmental perspective.
    Keywords administrative management ; energy conversion ; equations ; heat ; municipal solid waste ; steam ; temperature ; turbines ; waste incineration
    Language English
    Dates of publication 2022-0313
    Publishing place Elsevier Ltd
    Document type Article
    Note Pre-press version
    ZDB-ID 2000891-0
    ISSN 0196-8904
    ISSN 0196-8904
    DOI 10.1016/j.enconman.2022.115506
    Database NAL-Catalogue (AGRICOLA)

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  4. Article: The effects of prior creep–fatigue on the strain rate sensitivity of a P92 welded joint

    Song, Yuxuan / Pan, Zhouxin / Chen, Jianan / Qin, Furao / Gao, Zengliang / Zhang, Taihua / Ma, Yi

    Journal of materials science. 2021 Apr., v. 56, no. 11

    2021  

    Abstract: The high-temperature creep–fatigue (CF) interaction on the service damage of P92 welded joint was uncovered based on the evolution of local strain rate sensitivity of strength by nanoindentation. The individual creep, fatigue and creep–fatigue loadings ... ...

    Abstract The high-temperature creep–fatigue (CF) interaction on the service damage of P92 welded joint was uncovered based on the evolution of local strain rate sensitivity of strength by nanoindentation. The individual creep, fatigue and creep–fatigue loadings were performed to reveal the CF interaction on both the structure and mechanical properties of the welded joint. And CF loadings interrupted at lifetime fractions of 10%, 20%, 30%, 60%, 100% were adopted to acquire the high-temperature service damage evolution. The structure changes of the heterogeneous welded joint during service damage were characterized by using electron backscatter diffraction method. According to structure evolution including the changes of grain size and dislocation density during high-temperature deformation, we systematically discussed the local variation mechanism of hardness and SRS at different microstructural zones.
    Keywords X-ray diffraction ; deformation ; evolution ; hardness
    Language English
    Dates of publication 2021-04
    Size p. 7111-7128.
    Publishing place Springer US
    Document type Article
    Note NAL-AP-2-clean
    ZDB-ID 2015305-3
    ISSN 1573-4803 ; 0022-2461
    ISSN (online) 1573-4803
    ISSN 0022-2461
    DOI 10.1007/s10853-020-05665-5
    Database NAL-Catalogue (AGRICOLA)

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  5. Article: Chirality on dendrimers: “roll booster” of the molecule-level self-sorting assembly in two-component supramolecular gel system

    He, Huiwen / Zheng, Hao / Ma, Meng / Shi, Yanqing / Gao, Zengliang / Chen, Si / Wang, Xu

    Chemical communications. 2020 Mar. 10, v. 56, no. 20

    2020  

    Abstract: Chirality-induced recognition-promoted molecule-level self-sorting assembly in a two-component supramolecular gel system constructed by two polyhedral oligomeric silsesquioxane (POSS) core-based dendritic gelators with similar geometry and peripheral ... ...

    Abstract Chirality-induced recognition-promoted molecule-level self-sorting assembly in a two-component supramolecular gel system constructed by two polyhedral oligomeric silsesquioxane (POSS) core-based dendritic gelators with similar geometry and peripheral functionality, which would normally form a homogeneous co-assembled network.
    Keywords dendrimers ; gels ; geometry ; optical isomerism ; silsesquioxanes
    Language English
    Dates of publication 2020-0310
    Size p. 2983-2986.
    Publishing place The Royal Society of Chemistry
    Document type Article
    ZDB-ID 1472881-3
    ISSN 1364-548X ; 1359-7345 ; 0009-241X
    ISSN (online) 1364-548X
    ISSN 1359-7345 ; 0009-241X
    DOI 10.1039/c9cc09816j
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  6. Article ; Online: Soft Sensing of Silicon Content via Bagging Local Semi-Supervised Models.

    He, Xing / Ji, Jun / Liu, Kaixin / Gao, Zengliang / Liu, Yi

    Sensors (Basel, Switzerland)

    2019  Volume 19, Issue 17

    Abstract: The silicon content in industrial blast furnaces is difficult to measure directly online. Traditional soft sensors do not efficiently utilize useful information hidden in process variables. In this work, bagging local semi-supervised models (BLSM) for ... ...

    Abstract The silicon content in industrial blast furnaces is difficult to measure directly online. Traditional soft sensors do not efficiently utilize useful information hidden in process variables. In this work, bagging local semi-supervised models (BLSM) for online silicon content prediction are proposed. They integrate the bagging strategy, the just-in-time-learning manner, and the semi-supervised extreme learning machine into a unified soft sensing framework. With the online semi-supervised learning method, the valuable information hidden in unlabeled data can be explored and absorbed into the prediction model. The application results to an industrial blast furnace show that BLSM has better prediction performance compared with other supervised soft sensors.
    Language English
    Publishing date 2019-09-03
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s19173814
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Optimizing the Calibration Error of Refraction Angles in Ultrasonic Angle Beam Testing.

    Cai, Zhihui / Jin, Zhangmin / Zhu, Linyi / Li, Yuebing / Lei, Yuebao / Gao, Zengliang

    Sensors (Basel, Switzerland)

    2020  Volume 20, Issue 5

    Abstract: Ultrasonic testing is a useful approach for quantifying the flaws in mechanical components. The height of the flaws in ultrasonic angle beam testing is closely related to the calibration value of the probe refraction angle. In order to reduce the ... ...

    Abstract Ultrasonic testing is a useful approach for quantifying the flaws in mechanical components. The height of the flaws in ultrasonic angle beam testing is closely related to the calibration value of the probe refraction angle. In order to reduce the calibration error, some ignored data during the traditional calibration process are reanalyzed and fused to determine the refraction angle. Both arithmetical measurement fusion method and weighted measurement fusion method are applied and compared. Monte Carlo simulation is used to estimate the probability distribution of the refraction angle and obtain the optimal refraction angle weights. Experiments were carried out to verify the results of Monte Carlo simulation. The applicability of data fusion on refraction angles is investigated. It was found in the study that the data fused with the refraction angle is helpful for measuring the height of flaws.
    Language English
    Publishing date 2020-03-05
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s20051427
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Peripheral groups of polyhedral oligomeric silsesquioxane (POSS) core-based dendrimers: a crucial factor for higher-level supra-architecture building.

    He, Huiwen / Zheng, Hao / Ma, Meng / Shi, Yanqing / Gao, Zengliang / Chen, Si / Wang, Xu

    Nanoscale

    2020  Volume 12, Issue 22, Page(s) 12146–12153

    Abstract: The role of peripheral groups (PGs) on dendrimers in the spontaneous higher-level organization of hierarchically assembled nanofibers was investigated in a series of POSS-based dendritic gelators (POSS-Lys-X, X: -Boc, -Cbz, -Fmoc, etc.). We demonstrate ... ...

    Abstract The role of peripheral groups (PGs) on dendrimers in the spontaneous higher-level organization of hierarchically assembled nanofibers was investigated in a series of POSS-based dendritic gelators (POSS-Lys-X, X: -Boc, -Cbz, -Fmoc, etc.). We demonstrate that the PGs not only affect the gelation ability in solutions, but also the construction of orderly entangled fibrous supramolecular networks, e.g., "loofah-like" networks. Attributed to the PGs (especially the -Boc group) causing a lower cooperative assembly, the steady state with the lowest potential energy of gelators can be easily achieved by the higher ordering of nanofiber entanglement into superstructures. The -Boc group-containing dendrimers show low molar enthalpy and molar entropy of gelation, which help the construction of unique three-dimensional (3D) "loofah-like" superstructures. In contrast, the high cooperative assembly of the dendrimer (-Cbz as the PG) promotes the gelator into a higher enthalpy gelation process, with a constructed normal fibrous network. Hence, the PGs of POSS-based dendrimers act as the crucial factor in controlling the hierarchical self-assembly via a thermodynamics approach. This research presents new perspectives to explicate the relationships between PGs of dendrimers, supra-architectures and gel performances, which further guide the design of functional supramolecular materials via controllable self-assembly.
    Language English
    Publishing date 2020-04-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 2515664-0
    ISSN 2040-3372 ; 2040-3364
    ISSN (online) 2040-3372
    ISSN 2040-3364
    DOI 10.1039/d0nr03216f
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Chirality on dendrimers: "roll booster" of the molecule-level self-sorting assembly in two-component supramolecular gel system.

    He, Huiwen / Zheng, Hao / Ma, Meng / Shi, Yanqing / Gao, Zengliang / Chen, Si / Wang, Xu

    Chemical communications (Cambridge, England)

    2020  Volume 56, Issue 20, Page(s) 2983–2986

    Abstract: Chirality-induced recognition-promoted molecule-level self-sorting assembly in a two-component supramolecular gel system constructed by two polyhedral oligomeric silsesquioxane (POSS) core-based dendritic gelators with similar geometry and peripheral ... ...

    Abstract Chirality-induced recognition-promoted molecule-level self-sorting assembly in a two-component supramolecular gel system constructed by two polyhedral oligomeric silsesquioxane (POSS) core-based dendritic gelators with similar geometry and peripheral functionality, which would normally form a homogeneous co-assembled network.
    Language English
    Publishing date 2020-02-23
    Publishing country England
    Document type Journal Article
    ZDB-ID 1472881-3
    ISSN 1364-548X ; 1359-7345 ; 0009-241X
    ISSN (online) 1364-548X
    ISSN 1359-7345 ; 0009-241X
    DOI 10.1039/c9cc09816j
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Just-in-Time Correntropy Soft Sensor with Noisy Data for Industrial Silicon Content Prediction.

    Chen, Kun / Liang, Yu / Gao, Zengliang / Liu, Yi

    Sensors (Basel, Switzerland)

    2017  Volume 17, Issue 8

    Abstract: Development of accurate data-driven quality prediction models for industrial blast furnaces encounters several challenges mainly because the collected data are nonlinear, non-Gaussian, and uneven distributed. A just-in-time correntropy-based local soft ... ...

    Abstract Development of accurate data-driven quality prediction models for industrial blast furnaces encounters several challenges mainly because the collected data are nonlinear, non-Gaussian, and uneven distributed. A just-in-time correntropy-based local soft sensing approach is presented to predict the silicon content in this work. Without cumbersome efforts for outlier detection, a correntropy support vector regression (CSVR) modeling framework is proposed to deal with the soft sensor development and outlier detection simultaneously. Moreover, with a continuous updating database and a clustering strategy, a just-in-time CSVR (JCSVR) method is developed. Consequently, more accurate prediction and efficient implementations of JCSVR can be achieved. Better prediction performance of JCSVR is validated on the online silicon content prediction, compared with traditional soft sensors.
    Language English
    Publishing date 2017-08-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s17081830
    Database MEDical Literature Analysis and Retrieval System OnLINE

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