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3D FEM simulations of Flow in Injection Molded Parts with Multiple Size Scale Geometries

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3D FEM Simulations of Flow in Injection Molded Parts with Mu...

IN VIVO MAPPING BRAIN MICROCIRCULATION BY LASER SPECKLE CONTRAST IMAGING:A MAGNETIC RESONANCE PERSPECTIVE OF THEORETICAL FRAMEWORK

第十一届南方计算力学学术会议（SCCM-11）

作者： LIU Yongzhi HUANG Ming SONG Gang SHI Xianzhang SHEN Changyu Advanced Polymer Processing Technology of National Engineering Research center Zhengzhou University

Injection molded plastic parts commonly incorporate geometric features on multiple size scales, as in the case of a normally-sized part with very small surface features. When performing numerical simulations of such parts based on finite element method(FEM) modeling during mold filling, it is very difficult to balance efficiency and accuracy. To mitigate this problem, we have assessed the use of two different types of elements for the discretization of different regions of the part. In this approach, P2/P1 tetrahedral elements are used to obtain better accuracy in areas with micro-features, while P1/P0 tetrahedral macro-elements are used to shorten the computational time with regard to modeling of the macro parts. In addition, special transition elements are inserted between these two kinds of elements, to ensure the continuity of variables across the element boundaries. This method has been demonstrated to allow both efficiency and accuracy during flow modeling.

关键词： injection molding flow simulation multi-scales

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Journal of Innovative Optical Health Sciences 2008年第2期1卷 239-256页

作者： ZHENG WANG center for Functional and Metabolic Mapping Robarts Research Institute Department of Medical Biophysics The University of Western Ontario LondonCanada

The fundamental limitations of most vascular-based functional neuroimaging techniques are placed by the fact how fine the brain regulates the blood supply system.In vivo mapping of the cerebral microcirculation with high resolution and sensitivity hence becomes unprecedentedly compelling.This paper reviews the theoretical background of the laser speckle contrast imaging(LSCI)technique and attempts to present a complete framework stemming from a simple biophysical model.Through the sensitivity analysis,more insights into the tool optimization are attained for in vivo applications.Open questions of the technical aspects are discussed within this unified framework.Finally,it concludes with a brief perspective of future research in a way analogous to the magnetic resonance imaging(MRI)technique.Such exploration could catalyze their development and initiate a technological fusion for precise assessment of blood flow across various spatial scales.

关键词： Laser speckle contrast imaging brain microcirculation functional neuroimaging magnetic resonance imaging

Development and Analysis of a New Cylindrical Lithium-Ion Battery Thermal Management System

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Chinese Journal of Mechanical Engineering 2022年第4期35卷 298-312页

作者： Yasong Sun Ruihuai Bai Jing Ma School of Power and Energy Northwestern Polytechnical UniversityXi’an 710072China center of Computational Physics and Energy Science Yangtze River Delta Research Institute of NPUNorthwestern Polytechnical UniversityTaicang 215400China School of Automobile Chang’an UniversityXi’an 710064China

With the development of modern technology and economy,environmental protection and sustainable development have become the focus of global attention.The promotion and development of electric vehicles(EVs)have bright prospects.However,many challenges need to be faced seriously.Under diferent operating conditions,various safety problems of electric vehicles emerge one after another,especially the hidden danger of battery overheating which threatens the performance of electric vehicles.This paper aims to design and optimize a new indirect liquid cooling system for cylindrical lithium-ion batteries.Various design schemes for diferent cooling channel structures and cooling liquid inlet directions are proposed,and the corresponding solid-fuid coupling model is established.COMSOL Multiphysics simulation software is adopted to simulate and analyze the cooling systems.An approximate model is constructed using the Kriging method,which is considered to optimize the battery cooling system and improve the optimization results.Sensitivity parameter analysis and the optimization design of system structure are performed through a set of infuencing factors in the battery thermal management.The results indicate that the method used in this paper can efectively reduce the maximum core temperature and balance the temperature diferences of the battery pack.Compared with the original design,the optimized design,which is based on the non-dominated sorting genetic algorithm(NSGA-II),has an excellent ability in the optimized thermal management system to dissipate thermal energy and keep the overall cooling uniformity of the battery and thermal management system.Furthermore,the optimized system can also prevent thermal runaway propagation under thermal abuse conditions.In summary,this research can provide some practical suggestions and ideas for the engineering and production applications and structural optimization design carried by electric vehicles.

关键词： Cooling system Electric vehicle Kriging approximation Numerical simulation

Approach of hybrid GA for multi-objective job-shop scheduling

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International Journal of Modeling, simulation, and Scientific Computing 2016年第4期7卷 58-67页

作者： Qiaofeng Meng Linxuan Zhang Yushun Fan State CIMS Engineering Research center at Tsinghua University Beijing 100084 P.R.China

In recent years,scholars have made many research results on job-shop scheduling(JSP)problem,especially in single objective such as the maximum completion time.But most of the actual system scheduling problems are more than one object.Therefore,the research of multi-objective scheduling problem is very important and meaningful.In this paper,we proposed a multi-objective scheduling model which adopts weighted sum method to optimize two important indexes(makespan and total flow time).Genetic algorithm(GA)has diversified global search ability,while simulated annealing(SA)combined with tabu search(TS)have intensified capabilities in local neighborhood search.To overcome the drawback of the GA,we proposed a new hybrid GA(NewHGA)which produces initial solutions by GA firstly,and then take SA operator incorporate TS operator to search in the local space.By adding the novel local search strategy,the diversity of solutions will be improved greatly so that it can ensure the algorithm jump out of the local optimal value.We test this algorithm using the benchmark instances of different sizes taken from the OR-Library,and the results show that the algorithm is efficient than another hybrid algorithm.

关键词： Job shop multiple objectives weighted sum method the maximum completion time total flow time

A novel hybrid method for aerodynamic noise prediction of high-lift devices

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中国航空学报:英文版 2023年第9期36卷 151-161页

作者： Jun TAO Gang SUN Department of Aeronautics&Astronautics Fudan UniversityShanghai 200433China Key Laboratory of Aerodynamic Noise Control China Aerodynamics Research and Development CenterMianyang 621000China

Aerodynamic noise of High-Lift Devices(HLDs)is one of the main sources of airframe noise,and has immediate impacts on the airworthiness certification,environmental protection and security of commercial aircraft.In this study,a novel hybrid method is proposed for the aerodynamic noise prediction of HLD.A negative Spalart-Allmaras(S-A)turbulence model based Improved Delayed Detached Eddy simulation(IDDES)method coupling with AFT-2017b transition model is developed,in order to elaborately simulate the complex flow field around the HLD and thus obtain the information of acoustic sources.A Farassat-Kirchhoff hybrid method is developed to filter the spurious noise sources caused by the vortex motions in solving the Ffowcs Williams-Hawkings(FW-H)equation with permeable integral surfaces,and accurately predict the far-field noise radiation of the HLD.The results of the 30P30N HLD indicate that,the computational Sound Pressure Levels(SPLs)obtained by the Farassat-Kirchhoff hybrid method conform well with the experimental ones in the spectrum for the given observation point,and are more accurate than those obtained by the Farassat 1A method.Based on the hybrid method,the acoustic directivity of the HLD of a commercial aircraft is obtained,and the variation of the SPLs in the spectrum with the deflection angle of the slat is analyzed.

关键词： Aerodynamic noise Farassat-Kirchhoff hybrid method High-lift devices IDDES Negative S-A turbulence model

An automatic docking method for large-scale sections based on real-time pose measuring and assembly deviation control

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Optoelectronics Letters 2023年第11期19卷 686-692页

作者： QIAO Zhifeng FU Kang LIU Zhenzhong Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical EngineeringTianjin University of TechnologyTianjin300384China National Demonstration center for Experimental Mechanical and Electrical Engineering Education Tianjin University of TechnologyTianjin300384China

Aiming at the problem of poor accuracy consistency of large sections’docking assembly,an automatic docking method using multiple laser trackers to measure the position and posture of the docking sections in real time was proposed.In the solution of the pose of the docking section,real-time pose measurement of the docking section was realized by establishing a global coordinate system and a coordinate fusion method of three or more laser trackers.In the automatic control of the docking process,the real-time communication protocol and the circular negative feedback control strategy of measurement-adjustment-re-measurement are adopted,and the fully-automated docking of large sections is realized.Finally,an experimental verification system was set up,and the docking of the large-scale section reduction models was realized under the requirements of docking accuracy,and the effectiveness of the automatic docking scheme was successfully verified.

关键词： coordinate deviation system

Architecture for Cellular Enabled Integrated Communication and Sensing Services

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中国通信:英文版 2023年第9期20卷 59-77页

作者： Bo Liu Qixun Zhang Zheng Jiang Dongsheng Xue Chenlong Xu Bowen Wang Xiaoming She Jinlin Peng School of Information and Communication Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China China Telecom Corporation Limited Beijing Research Institute Beijing 102209China Artificial Intelligence Research center National Innovation Institute of Defense TechnologyBeijingChina

There is growing interest in the integrated sensing and communication(ISAC)to extend the 5G+/6G network capabilities by introducing sensing capability.While the solutions for mono-static or bi-static ISAC have shown feasibility and benefits based on existing 5G physical layer design,whether and how to coordinate multiple ISAC devices to better exert networking performance are rarely discussed.3 rd Partnership Project(3GPP)has initiated the ISAC use cases study,and the follow-up studies for network architecture could be anticipated.In this article,we focus on gNB-based sensing mode and propose ISAC functional framework with given of highlevel service procedures to enable cellular based ISAC services.In the proposed ISAC framework,three types of network functions for sensing service as Sensing Function(SF),lightweight-Edge Sensing Function(ESF)and full-version-ESF are designed with interaction with network nodes to fulfill the latency requirements of ISAC use cases.Finally,with simulation evaluations and hardware testbed results,we further verify the performance benefit and feasibility to enable ISAC in 5G for the gNB-based sensing mode with new design on SF and related signaling protocols.

关键词： integrated sensing and communication(ISAC) network architecture 5G system

All-atomristor logic gates

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Nano Research 2023年第1期16卷 1688-1694页

作者： Shu Wang Zhican Zhou Fengyou Yang Shengyao Chen Qiaoxuan Zhang Wenqi Xiong Yusong Qu Zhongchang Wang Cong Wang Qian Liu CAS center for Excellence in Nanoscience National Center for Nanoscience and Technology&University of Chinese Academy of SciencesBeijing 100190China MOE Key Laboratory of Weak-Light Nonlinear Photonics TEDA Applied Physics InstituteSchool of PhysicsNankai UniversityTianjin 300457China Electrical Automation Department Hebei University of Water Resources and Electric EngineeringCangzhou 061001China School of Physics and Technology Wuhan UniversityWuhan 430072China International Iberian Nanotechnology Laboratory(INL) Braga 4715-330Portugal College of Mathematics and Physics Beijing University of Chemical TechnologyBeijing 100029China

The atomristor(monolayer two-dimensional(2D)-material memristor)is competitive in high-speed logic computing due to its binary feature,lower energy consumption,faster switch response,and so on.Yet to date,all-atomristor logic gates used for logic computing have not been reported due to the poor consistency of different atomristors in performance.Here,by studying band structures and electron transport properties of MoS2 atomristor,a comprehensive memristive mechanism is obtained.Guided by the simulation results,monolayer MoS2 with moderated defect concentration has been fabricated in the experiment,which can build atomristors with high performance and good consistency.Based on this,for the first time,MoS2 all-atomristor logic gates are realized successfully.As a demonstration,a half-adder based on the logic gates and a binary neural network(BNN)based on crossbar arrays are evaluated,indicating the applicability in various logic computing circumstances.Owing to shorter transition time and lower energy consumption,all-atomristor logic gates will open many new opportunities for next-generation logic computing and data processing.

关键词： atomristor logic gates combinational logic circuit neural network defect concentration

Data-driven engineering framework with AI algorithm of Ginkgo Folium tablets manufacturing

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Acta Pharmaceutica Sinica B 2023年第5期13卷 2188-2201页

作者： Lijuan Ma Jing Zhang Ling Lin Tuanjie Wang Chaofu Ma Xiaomeng Wang Mingshuang Li Yanjiang Qiao Yongxiang Wang Guimin Zhang Zhisheng Wu Beijing University of Chinese Medicine Engineering Research Center for Pharmaceutics of Chinese Materia Medica and New Drug DevelopmentMinistry of EducationBeijing 100029China Jiangsu Kanion Pharmaceutical Co. Ltd.State Key Laboratory of New Technology in Pharmaceutical Process of Traditional Chinese MedicineLianyungang 222001China Yangtze River Pharmaceutical(Group)Co. Ltd.State Pharmaceutical Engineering Technology Research Center of Traditional Chinese MedicineTaizhou 225321China Lunan Pharmaceutical Group Co. Ltd.State Key Laboratory of Generic Technology of Traditional Chinese MedicineLinyi 276005China

Smart manufacturing still remains critical challenges for pharmaceutical manufacturing.Here,an original data-driven engineering framework was proposed to tackle the challenges.Firstly,from sporadic indicators to five kinds of systematic quality characteristics,nearly 2,000,000 real-world data points were successively characterized from Ginkgo Folium tablet manufacturing.Then,from simplex to the multivariate system,the digital process capability diagnosis strategy was proposed by multivariate C_(pk)integrated Bootstrap-t.The C_(pk)of Ginkgo Folium extracts,granules,and tablets were discovered,which was 0.59,0.42,and 0.78,respectively,indicating a relatively weak process capability,especially in granulating.Furthermore,the quality traceability was discovered from unit to end-to-end analysis,which decreased from 2.17 to 1.73.This further proved that attention should be paid to granulating to improve the quality characteristic.In conclusion,this paper provided a data-driven engineering strategy empowering industrial innovation to face the challenge of smart pharmaceutical manufacturing.

关键词： Smart manufacturing Data-driven engineering Artificial intelligence Information fusion Process capability index End-to-end Quality traceability Real-world Ginkgo Folium products