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Simulation study on fluid flow performance of injection stirring composite process in molten iron desulfurization process

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Journal of Iron and Steel Research International 2023年第12期30卷 2403-2415页

作者： Chao Lv Xu-xin Chen Hai-wei Zhang Hong-liang Zhao Lin-hui Yu Wen-ming Guo School of Control Engineering Northeastern University at QinhuangdaoQinhuangdao066000HebeiChina Yingkou Dongbang Environmental Protection Technology Co. Ltd.Yingkou115000LiaoningChina School of Metallurgy and Ecological Engineering University of Science and Technology BeijingBeijing100083China xcmg earthmoving machinery division Xuzhou221004JiangsuChina

The blowing and stirring composite process of molten iron desulfurization process affects the desulfurization efficiency and has obvious advantages in improving steel properties and expanding the scale of converter *** present,the injection position of the injection stirring research is fixed,and the desulfurization efficiency needs to be *** gas–liquid flow behavior of single-scale bubble model and the size and distribution of bubbles in multi-scale bubble model were studied by computational fluid dynamics numerical simulation method for the injection mixing composite process of jet inlet and stirring paddle rotating at the same *** pressure distribution and velocity distribution inside the fluid indicate that the velocity difference between the gas–liquid phases and the turbulence of the liquid are due to the collisions of bubbles,which are due to essential conditions for bubble *** injection air volumes have essential influence on the formation of single *** the injection volume reaches 2.8 m3/h,the turbulent kinetic energy is maximum,the bubble formation is rapid,and the desulfurization efficiency can be *** multi-bubble results show that the bubble diameter is mainly distributed in the range of 2–5 *** higher gas flow rate will increase the number of bubbles in the fluid and promote the bubble refinement process.

关键词： Molten iron desulfurization Spraying-Stirring-Bubble Numerical simulation

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Mechanical Properties Study of Reinforced Thermoplastic Pipes Under A Tensile Load

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China Ocean Engineering 2020年第6期34卷 806-816页

作者： WANG Yang-yang LOU Min TONG Bing WANG Sen School of Petroleum Engineering China University of Petroleum(East China)Qingdao 266580China Key Laboratory of Unconventional Oil&Gas Development(China University of Petroleum(East China)) Ministry of EducationQingdao 266580China Hoisting machinery Business division Xuzhou Construction Machinery Group(XCMG)Xuzhou 221000China Weihai Nacheon Pipeline Co. Ltd.Weihai 264400China

This paper presents a study on the tensile properties of reinforced thermoplastic pipes(RTPs). A mechanical model of RTPs with an arbitrary number of reinforced layers under tensile action is constructed by combining the constitutive relationship of elastoplastic materials with the continuous displacement condition. On this basis, the effects of various parameters such as the winding angle, the number of structurally reinforced layers, and the inner polyethylene(PE) liner thickness on the tensile properties of the RTPs were analyzed, and a tensile test was carried out for validation. The results showed that the winding angle of the structurally reinforced layers was the main factor affecting an RTP's tensile performance— decreases in the winding angle significantly improved its tensile ability,especially the longitudinal strength. With ±45° as the demarcation point, the winding angle smaller than ±45° will result in higher strength in longitudinal direction, and the lifting effect on RTP's mechanical properties of the increasing number of reinforcement layers was better than that of the increasing thickness of the lining layer;when the winding angle was larger than ±45°, the opposite results were obtained. The fibre load was more sensitive to the winding angle than the PE load.

关键词： reinforced thermoplastic pipes tensile properties winding angle polyethylene

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Learning-Based Dynamic Connectivity Maintenance for UAV-Assisted D2D Multicast Communication

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中国通信:英文版 2023年第10期20卷 305-322页

作者： Jingjing Wang Yanjing Sun Bowen Wang Shenshen Qian Zhijian Tian Xiaolin Wang School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China xcmg Fire-Fighting Safety Equipment Co. LtdXuzhou 221004China School of Mines China University of Mining and TechnologyXuzhou 221116China

Unmanned aerial vehicles(UAVs) enable flexible networking functions in emergency ***,due to the movement characteristic of ground users(GUs),it is challenging to capture the interactions among ***,we propose a learningbased dynamic connectivity maintenance architecture to reduce the delay for the UAV-assisted device-todevice(D2D) multicast *** this paper,each UAV transmits information to a selected GU,and then other GUs receive the information in a multi-hop *** minimize the total delay while ensuring that all GUs receive the information,we decouple it into three subproblems according to the time division on the topology:For the cluster-head selection,we adopt the Whale Optimization Algorithm(WOA) to imitate the hunting behavior of whales by abstracting the UAVs and cluster-heads into whales and preys,respectively;For the D2D multi-hop link establishment,we make the best of social relationships between GUs,and propose a node mapping algorithm based on the balanced spanning tree(BST) with reconfiguration to minimize the number of hops;For the dynamic connectivity maintenance,Restricted Q-learning(RQL) is utilized to learn the optimal multicast ***,the simulation results show that our proposed algorithms perfor better than other benchmark algorithms in the dynamic scenario.

关键词： cluster-head selection whale optimization algorithm(WOA) balanced spanning tree(BST) multi-hop link establishment dynamic connectivity maintenance

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