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Promoting digital twin technology application for process industry:A novel generation modelling platform and its implementations 被引量:2
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作者 Yinan Zhang Wenhai Wang +12 位作者 Qiang Yang Xiaoyu Tang Wei Ruan yingze li Surong Daoerji Xiang Zhang Yuqi Ye Jiawei Huang Junjie li Yu Yang Xinyao Wu Haoran Yang Tianyu Cao 《Digital Twins and Applications》 2024年第1期51-74,共24页
One key concept of Industry 4.0 is the industrial digital twin(DT)-a virtual replica of physical assets,processes,and systems.DTs optimise operations,enhance productivity,and facilitate innovation across various indus... One key concept of Industry 4.0 is the industrial digital twin(DT)-a virtual replica of physical assets,processes,and systems.DTs optimise operations,enhance productivity,and facilitate innovation across various industries,including manufacturing,energy,healthcare,and transportation.This paper presents a multi-domain and multi-time scale modelling and simulation platform,featuring built-in model libraries that represent diverse physical,chemical,and behavioural properties.A comprehensive system model-ling approach and a closed-loop industrial control system based on DTs are developed,showcasing advanced control,optimisation,and system security research capabilities.The architecture and advantages of the novel generation modelling platform are detailed,with specific applications highlighted,underscoring its contributions to the process industry. 展开更多
关键词 chemical engineering control engineering digital twins electrical engineering simulation
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Enhanced interfacial bonding of AF/PEEK composite based on CNT/aramid nanofiber multiscale flexible-rigid structure 被引量:1
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作者 Nan Zhou Long Xia +6 位作者 Naiyu Jiang yingze li Hanxiong Lyu Hongyan Zhang Xiaohu Zou Wenbo liu Dongxing Zhang 《Journal of Materials Science & Technology》 CSCD 2024年第30期139-148,共10页
The application of aramid fiber(AF)/polyetheretherketone(PEEK)composites is currently hindered by the inert surface and poor wettability of AF,resulting in weak interfacial adhesion and poor mechani-cal properties.Sur... The application of aramid fiber(AF)/polyetheretherketone(PEEK)composites is currently hindered by the inert surface and poor wettability of AF,resulting in weak interfacial adhesion and poor mechani-cal properties.Surface coating and the introduction of nanostructures have been proven to be effective approaches to address this problem.Herein,a simple hybrid sizing agent has been developed to modify the AF surface,consisting of soluble polyimide(PI)as a compatibilizer,carboxyl-functionalized carbon nanotubes(CNT-COOH)as a rigid unit,and aramid nanofibers(ANF)as a flexible component.The syner-getic effects of PI and the multiscale flexible-rigid structure(CNT-COOH/ANF)contribute to the formation of chemical and physical bonds between AF and PEEK matrix,further improving the interfacial adhesion and stress transfer efficiency.Attributed to the enhanced wettability and roughness of AF,compared with unsized AF,the flexural strength(220.97 MPa),modulus(13.26 GPa),ILSS(13.36 MPa),and storage modu-lus(12.93 GPa)of the AF/PEEK composite increase by 132.60%,99.00%,18.97%,and 82.70%respectively.Additionally,the flexible-rigid nanonetwork facilitates the penetration of the PEEK resin into pore spaces.This simple and effective approach exhibits promising potential in enhancing the interfacial bonding of AF/PEEK composites. 展开更多
关键词 Aramid fiber(AF)/polyetheretherketone(PEEK) Matrimid 5218(PI) Aramid nanofibers Carbon nanotubes Interfacial adhesion
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Stable manipulating objects with unknown surface morphology via integration of magnetic artificial muscle and adhesive structures
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作者 Fengxia liu Dajun Zhang +9 位作者 Huimin Zhu yingze li Anzhe Huang Wencong Dou Leyi Sun Xiaolong Zhang Jun Sun Yazhou Tian Qi Chen Hongmiao Tian 《Microsystems & Nanoengineering》 2025年第4期467-478,共12页
Compared with conventional manipulating methods,such as vacuum suction,electromagnetic adsorption,and mechanical clamping,gecko-inspired adhesives possess the ability of attaching on various surfaces with extensive ap... Compared with conventional manipulating methods,such as vacuum suction,electromagnetic adsorption,and mechanical clamping,gecko-inspired adhesives possess the ability of attaching on various surfaces with extensive applications in space operation,industrial manufacturing,etc.However,adhesive structures with high adhesion on one certain surface may lose their adhesive performance when gripping another surface.Achieving a good adhesion on objects with unknown surface morphology in a simple way is still a great challenge for gecko-inspired adhesives.Inspired by the interaction of the gecko’s actuating muscle and adhesive structures,we propose a smart adhesive film to adaptively manipulate objects with unknown surface morphology,consisting of magnetic artificial muscle and mushroom-shaped structures at the microscale.Controlled by the magnetic field,the adhesive film can conformally contact the target surfaces with flat/curved morphology or smooth/rough topography,and easily separated from the contacting interfaces,which process is performed without complex image recognition or detection sensors on predetermining the detailed morphology of the opposing surfaces.This specific characteristic enables the smart adhesive film to successfully grip,transfer and release the unknown objects,extending the operating specification of geckoinspired adhesives.Especially,in the manipulating process,the objects would not be dropped down from the smart adhesive film even if the magnetic field is suddenly removed,which is seldom achieved by other soft grippers.The proposed adhesion strategy extends gecko-inspired adhesives from specific types of surfaces to unknown surface morphology,opening an avenue for the development of gecko-inspired adhesive-based devices and systems. 展开更多
关键词 magnetic artificial muscle gecko inspired adhesives mechanical clampinggecko inspired attaching various surfaces vacuum suctionelectromagnetic adsorptionand unknown surface morphology space operationindustrial conventional manipulating methodssuch
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IoT data cleaning techniques: A survey
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作者 Xiaoou Ding Hongzhi Wang +3 位作者 Genglong li Haoxuan li yingze li Yida liu 《Intelligent and Converged Networks》 EI 2022年第4期325-339,共15页
Data cleaning is considered as an effective approach of improving data quality in order to help practitioners and researchers be devoted to downstream analysis and decision-making without worrying about data trustwort... Data cleaning is considered as an effective approach of improving data quality in order to help practitioners and researchers be devoted to downstream analysis and decision-making without worrying about data trustworthiness.This paper provides a systematic summary of the two main stages of data cleaning for Internet of Things(IoT)data with time series characteristics,including error data detection and data repairing.In respect to error data detection techniques,it categorizes an overview of quantitative data error detection methods for detecting single-point errors,continuous errors,and multidimensional time series data errors and qualitative data error detection methods for detecting rule-violating errors.Besides,it provides a detailed description of error data repairing techniques,involving statistics-based repairing,rule-based repairing,and human-involved repairing.We review the strengths and the limitations of the current data cleaning techniques under IoT data applications and conclude with an outlook on the future of IoT data cleaning. 展开更多
关键词 Internet of Things(IoT) data quality data cleaning error detection data repairing
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