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6th International Symposium on robotics and Intelligent Manufacturing technology, ISrIMT 2024

作者： Xia, Qing duan, Xiushang Yin, Chao Gong, Xiaorong Yang, Chuan College of Mechanical and Vehicle Engineering Chongqing University Chongqing China R&d Center Chongqing Ceprei Industrial Technology Co. Ltd Chongqing China College of Mechanical Engineering Chongqing University of Technology Chongqing China Ceprei Southwestern Branch Guanzhou China

ISBN: (纸本)9798331528942

Turn-milling is an advanced manufacturing technology which has been widely applied to various industries due to its high-speed and interrupted cutting. However, there are few literatures studying on the multi-objective optimization of turn-milling, which can effectively improve overall performance of turn-milling to realize profit maximization. In this paper, we presented a multi-objective optimization method based on deep reinforcement learning (drL) to solve the multi-objective optimization problem of orthogonal turn-milling parameters. This method adopts a decomposition strategy to convert the optimization problem into multiple subproblems of single objective. Then all subproblems are modelled by neural networks, and collaboratively optimized by means of a drL algorithm and a neighborhood-based parameter transfer strategy. Finally, the Pareto optimal solutions are obtained from these optimized neural networks by means of the greedy strategy. Extensive experimental results show the effectiveness and competitiveness of the proposed method for solving the multi-objective optimization problem. © 2024 IEEE.

关键词： deep reinforcement learning

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research and Application of a Full Process control Platform for Power New Energy engineering construction Based on AI and Big data 1

Research and Application of a Full Process Control Platform ...

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1st IEEE International conference on data Intelligence and Innovative Application, dIIA 2024

作者： Xie, Yixiang Huang, Zhengui Wei, Yuanfei Huang, BaiXue Huang, Chengjia Xia, MeiWen School of Sciences and Engineering Xiangsihu College of Guangxi Minzu University Nanning China Nanning Hongxiang Software Technology Co. Ltd. R&D Department Nanning China Zhongjian Hongtai Communication Engineering Co. Ltd. General Manager Office Nanning China

ISBN: (纸本)9798331504434

Today, with the continuous development of technology, traditional power new energy engineering construction still involves a large number of manual tracking of project progress, manual collection of engineering data, and other traditional management methods. The degree of informatization is low, and there are many loopholes in the construction process, which bring uncertain factors to the progress and quality of the project. This article studies the construction of a full process control platform for power new energy engineering construction based on AI and big data. By studying the use of multimodal big data integration and fusion technology for real-time data collection, analysis, prediction, and decision support during the construction process, utilizing big data technology to efficiently calculate data information at construction nodes, and providing efficiency analysis reports and quality and safety reports for each node throughout the entire construction process. The control platform can monitor construction progress, allocate construction resources, and supervise construction safety in real time. It uses AI prediction models to optimize the allocation of labor, materials, and other resources, reduce waste generated during the construction process, and ensure construction safety. The platform develops a fault diagnosis and warning function for the entire construction process, quickly identifying potential problems through AI algorithms, taking measures in advance, and avoiding construction interruptions. After the system was developed and launched, it significantly improved the construction efficiency and management level of power new energy projects, and reduced implementation costs. This study has important guiding significance for the efficient and safe construction of future new energy projects. © 2024 IEEE.

关键词： AI full process control multimodal big data integration power new energy engineering construction

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The Effect of trajectory optimization on wellbore stability of bedding shale of Longmaxi Formation in Changning, Sichuan, China 56

The Effect of trajectory optimization on wellbore stability ...

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56th U.S. rock Mechanics/Geomechanics Symposium

作者： Chao, F. Qian, W. Hongwei, J. Zhaowei, C. Ying, W. Xiao, F. Wenbao, Z. Shaoyun, C. National Engineering Research Center for Oil&Gas Drilling and Completion Technology Beijing China Drilling Technology Department CNPC Engineering Technology R&D Co. Ltd Beijing China Drilling Engineering Technology Research Institute of Daqing Drilling and Exploration Engineering Company Heilongjiang Daqing China

ISBN: (纸本)9780979497575

The development of weak plane of Longmaxi formations brings great challenges to the safe drilling of horizontal wells. Since 2018, hundreds of sticking problems caused by wellbore instability occur every year. It is seriously restrict the efficient development of shale gas. In order to clarify the mechanism of wellbore instability and take methods to solve the problems, the wellbore stability model was studied in well NingA. Based on lithology division, rock mechanical parameter profiles of different lithology are established, and formation pore pressure and original in-situ stress are restored. consider the role of intermediate principal stress, the wellbore stability analysis models of weak plane failure criteria and Modified Lade criterion are established. According to the model, the drilling fluid column pressure (collapse pressure) to maintain the wellbore stability is calculated. Properly increasing the density of drilling fluid above the collapse pressure is an effective solution to wellbore stability, but there may be a certain risk of leakage. By properly optimizing the well trajectory in the collapse section, it can maintain the wellbore stability and avoid leakage due to excessive drilling fluid density. Therefore, it is recommended to adjust the mud weight as required based on the trajectory of the planned well which can greatly improve the wellbore safety. © 2022 ArMA, American rock Mechanics Association.

关键词： Horizontal wells

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research on tunnel defect detection based on YOLOv8 model 8

Research on tunnel defect detection based on YOLOv8 model

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8th International conference on Traffic engineering and Transportation System, ICTETS 2024

作者： Zhao, Xuefeng Zhu, Huajie dong, Hongxia Hao, Yanjun Shanxi Transportation Science and Technology R&D Co. Ltd. Shanxi Taiyuan China College of transportation engineering Chang’an University Shaanxi Xi’an China Institute of Intelligent Traffic in Shanxi Province Co. Ltd. Shanxi Taiyuan China

ISBN: (数字)9781510686298

ISBN: (纸本)9781510686281

To enhance tunnel maintenance and traffic safety, this study implements automatic detection and identification of tunnel defects using the YOLOv8 model. By collecting defect image data from various tunnel environments and performing data preprocessing and annotation, the YOLOv8 model was constructed for defect detection. The results demonstrate that the YOLOv8 model achieves a precision of 0.87, a recall of 0.89, and an mAP50 of 0.87 on the test set, indicating excellent detection capabilities and accuracy. The model accurately identifies and locates defect types such as cracks, damage, and spalling. Visual analysis of the model's detection results confirms its ability to precisely locate and recognize various internal tunnel defects, further validating the model's stability and practicality. This research provides significant technical support for intelligent transportation and tunnel safety management, highlighting the importance of early identification and effective treatment of tunnel defects. It contributes to improving the safety and efficiency of tunnel operations. © 2024 SPIE.

关键词： Object detection defect detection data modeling Education and training Image processing Performance modeling Safety Transportation Machine learning Mathematical optimization

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design and Performance Analysis of Phase Change refrigerated Storage contain 3

Design and Performance Analysis of Phase Change Refrigerated...

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3rd International conference on Energy engineering and Power Systems, EEPS 2023

作者： Li, Zhengsai Shen, Yanming Zhang, Tao Shi, Zhengrong Shanghai University of Electric Power College of Energy and Mechanical Engineering Shanghai China Heatmate New Energy Technology Co. Ltd R&d Department Shanghai China

ISBN: (纸本)9798350313857

The refrigerated storage container possesses the benefits of flexible application, excellent preservation efficacy, and low energy consumption cost. It is an effective supplement to traditional large-scale fixed refrigerated storage and transport refrigerated vehicles. This paper designs a low-cost, easy-to-install phase-change refrigerated storage plate, forms the refrigerated storage plate into a refrigerated storage module, and applies it to the container. Based on the mass conservation, energy conservation and momentum conservation, established a numerical model of the refrigerated storage container, and simulated and analyzed its cooling process;at the same time, by analyzing the flow field, the reasons for the change of the temperature field are discussed. Simulation results show that this refrigerated storage container can maintain the temperature in the container below -18°C for 16 hours, and can stabilize the freezing temperature of -21°C for about 10 hours. The cold release process is divided into three processes according to the average temperature change of the container volume, the sudden rise period, the slow rise period, and the rapid rise period;through the analysis of the flow field to the temperature field, the cooling of the refrigerated storage unit and the heat loss of the container body will occur in the container. The gas flow generated inside the container leads to stratification of the temperature field in the container;the gap between the refrigerated storage unit and the top, because the hot air on the top cannot form natural convection with the cold air close to the refrigerated storage plate, the thermal resistance of heat conduction is relatively large, so A pocket of hot air builds up at the top. © 2023 IEEE.

关键词： containers

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Investigation on the temperature-dependent diffusion growth of intermetallic compounds in the Mg-Al-Zn system:Experiment and modeling

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Journal of Magnesium and Alloys 2024年第8期12卷 3394-3408页

作者： Kaiming Cheng Yan Zheng Jiaxing Sun Yafei Zhao Jin Wang Huan Yu dongqing Zhao Hang Li Jixue Zhou Zhenyu Ma Junmin Wang Cuiping Guo Xitao Wang Lijun Zhang Yong du Shandong Provincial Key Laboratory of High Strength Lightweight Metallic Materials Advanced Materials InstituteQilu University of Technology(Shandong Academy of Sciences)Jinan250014China Laboratory of Materials Phase Equilibria and New Materials Design School of Materials Science and EngineeringUniversity of Science and Technology BeijingBeijing 100083China Technology R&D Center Shandong Qiangang Metal Technology Co.LtdJining272000China State Key Laboratory of Powder Metallurgy Central South UniversityChangsha410083China

With the rapid development of Mg alloys,deeper understanding to the thermodynamic and diffusional kinetic behavior of intermetallic compounds(IMCs)is important for studying the effect of alloying elements to the microstructure ***,a systematic quantitative investigation on the diffusional growth of IMCs is of great ***,the works studying the elemental diffusion behaviors of multiple-element IMCs are rare in magnesium alloy *** current work takes the ternary Mg-Al-Zn system as research target,and combines the diffusion couple technique,phase stability diagrams,in-situ observation technique and numerical inverse method to investigate the temperature-dependent kinetic *** parabolic growth constant(PGC)and interdiffusion coefficients for Mg solid-solution phase andγ-Mg_(17)Al_(12),β-Mg_(2)Al_(3),ε-Mg_(23)Al_(30),MgZn_(2),Mg_(2)Zn_(3),τ-Mg_(32)(Zn,Al)49 andφ-Mg_(5)Zn_(2)Al_(2) IMCs in the Mg-Al-Zn alloy system are *** comparing the current experimental with calculation results,the rate-controlling factor of the temperature-dependent diffusion growth ofφ,τandεternary IMCs in the Mg-Al-Zn system is further discussed in detail.

关键词： diffusion couple Phase stability diagram Numerical inverse method(NIM) Interface migration High-temperature laser-scanning confocal microscopy(HTLSCM)

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Switching Loss reduction for 3.3kV-750A Full-SiC MOSFET Module by Active Gate driver

Switching Loss Reduction for 3.3kV-750A Full-SiC MOSFET Modu...

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2024 International Exhibition and conference for Power Electronics, Intelligent Motion, renewable Energy and Energy Management, PCIM Asia 2024

作者： Hu, Sideng Wu, Xu Li, Menghao Fujishima, Naoto Lei, Yun He, Xiangning College of Electrical Engineering Zhejiang University Hangzhou China Semiconductors Business Group Fuji Electric Co. Ltd Matsumoto Japan Technology Strategy & Planning Office Corporate R&D Headquarters Fuji Electric Co. Ltd. Hino Japan

ISBN: (纸本)9783800764150

3.3kV high-current SiC MOSFET module is promising for enhancing efficiency in railway traction and renewable power generation sectors. Although it features low switching loss, high-frequency operation can still accumulate significant loss, potentially damaging long-term reliability and lifetime of the module. The conventional method for switching loss suppression is through the decrement of gate resistance, resulting in serious overshoot. To address these issues, an active gate driver (AGd) is designed in this paper to reduce the switching loss without intensifying the overshoot. A mathematical model is established to elucidate the design methodology of AGd, and experiments validate the proposed method’s effectiveness. © VdE VErLAG GMBH.

关键词： Power MOSFET

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development of an edge-cloud collaboration framework for fission battery management system

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International Journal of Advanced Nuclear reactor design and technology 2022年第4期4卷 177-186页

作者： Xu, Hong duo, Yihua Tang, Tao Sino-French Institute of Nuclear Engineering and Technology Sun Yat-sen University Zhuhai China School of Microelectronics and Communication Engineering Chongqing University Chongqing China Energy Technology R&D Division Jinyuyun Energy Technology Co. Ltd Chongqing China

As a "plug-and-play" nuclear system, the technology of fission battery enables nuclear reactor systems to function as batteries. Undoubtedly, advanced intelligent technologies have to be adopted to realize the excellent attributes of fission batteries, i.e., economic, standardized, installed, unattended, and reliable, and its commercial applications. This article proposed the edge-cloud collaboration technology for fission batteries to satisfy its intelligent requirements. A detailed framework for a fission battery management system has been developed. To develop such a management system, four types of concrete transmission information for the edge-cloud collaboration (i.e. resource and data, AI technologies, application and services, safety and strategies) are identified. The edge and cloud designs are also discussed in detail, including their hardware and software. A functional framework of edge-cloud collaboration network platform for fission battery management system is developed preliminarily. The framework is based on a three-layer structure, i.e., perception layer, technical layer and application layer. Although no detailed algorithm or verification is introduced (since the edge-cloud collaboration framework has been widely used in some industry fields but not in nuclear engineering), as primarily work for the future detailed study of fission battery, it is necessary and extremely important. © 2022 Xi'an Jiaotong University

关键词： Fission battery Edge-cloud collaboration Cloud computing Edge computing Advanced nuclear technology

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dynamic microstructure evolution and mechanical properties of dilute Mg-Al-Ca-Mn alloy during hot rolling

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Journal of Materials Science & technology 2022年第34期129卷 1-14页

作者： Shiwei Xu congcong Zhu Zhanhong Lin Chen Jin S.Kamado K.Oh-ishi Yun Qin College of Materials Science and Engineering Hunan UniversityChangsha 410082China State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan UniversityChangsha 410082China Qinghai Salt Lake Teli Magnesium Co.Ltd. Xining 810000China Department of Mechanical Engineering Nagaoka University of TechnologyNagaoka 940-2188Japan Toyota Central R&D Labs. Inc.41-1 YokomichiNagakuteAichi 480-1192Japan Research Institute(R&D Centre) Baowu Steel Group CorporationShanghai 201900China

The dynamic microstructure and texture of dilute Mg-0.50Al-0.71Ca-0.33Mn(wt.%) during hot rolling at two slab temperatures were investigated by electron backscattered diffraction(EBSd) and high resolution transmission electron microscopy(HrTEM). The results show that the development of the rolling microstructures is to first form {10–12} extension twins in the original grains, thereby forming the extension-twinned regions, and then to further form {10–11}-{10–12} double twins and kinks in the extension-twinned regions, and finally to form continuous dynamic recrystallized(continuous drXed)grains in the double twins and the cross parts of the shear-deformed coarse extension-twinned *** extension twins, double twins and kinks show a decisive effect on the formation of rolling *** number of {10–11}-{10–12} double twins and resultant the continuous drX process are strongly affected by the rolling slab temperature and the reduction thickness per pass. By optimizing the rolling conditions, texture and microstructures of the multi-pass rolled Mg-Al-Ca-Mn alloy sheets are successfully modified. Although the total alloy content is only 1.5 wt.%, these Mg-Al-Ca-Mn alloy sheets show much higher strength than the commercial Mg-3Al-1 Zn(wt.%)(AZ31B) sheet.

关键词： Mg-Al-Ca-Mn alloy Hot rolling dynamic recrystallization Texture control Mechanical properties

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Physiological Mechanism of Exogenous Selenium in Alleviating Mercury Stress on Pakchoi(Brassica campestris L.)

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Phyton-International Journal of Experimental Botany 2024年第5期93卷 951-962页

作者： Chengxu Qian Qiangwen Chen Leiyu Jiang Xiaoyan Yang Shen rao Weiwei Zhang Feng Xu College of Horticulture and Gardening Yangtze UniversityJingzhou434025China Enshi Se-Run Material Engineering Technology Co. Ltd.Enshi445000China Henry Fok School of Biology and Agricultural Shaoguan UniversityShaoguan512005China National R&D for Se-Rich Agricultural Products Processing Technology Wuhan Polytechnic UniversityWuhan430023China

The objective of this study was to explain the physiological mechanisms through which Na_(2)SeO_(3) mitigates the growth and developmental inhibition of pakchoi under HgCl_(2)*** results showed that treatment with HgCl_(2)(40 mg L^(−1))led to reduced biomass,dwarfing,root shortening,and root tip necrosis in *** to control(CK),the activities of superoxide dismutase(SOd)and peroxidase(POd)in Hg treatment increased,and the content of malondialdehyde(MdA)also dramatically increased,which negatively impacted the growth of *** concentrations of Na_(2)SeO_(3)(0.2 mg L^(−1))significantly increased the content of soluble sugars compared with control,while chlorophyll,soluble proteins,free amino acids,and vitamin C had no significant *** results of the mixed treatments with HgCl_(2)and Na_(2)SeO_(3) suggested that selenium may be able to reduce the toxicity of mercury in *** biomass,plant height,root length,chlorophyll content,soluble protein,other physiological indicators,and proline showed significant increases compared with the HgCl_(2)***,the MdA content and mercury accumulation in pakchoi *** results revealed the antagonistic effects of selenium and mercury in ***,a theoretical basis for studying pakchoi’s mercuryexcreted and selenium-rich cultivation technology was provided.

关键词： Selenium mercury stress pakchoi physiological properties antioxidant enzymes

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