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Buckling Properties of Water-Drop-Shaped Pressure Hulls with Various Shape Indices Under Hydrostatic External Pressure

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China Ocean Engineering 2024年第1期38卷 1-17页

作者： DING Xiao-de ZHANG Jian WANG Fang JIAO Hui-feng WANG Ming-lu School of Mechanical Engineering Jiangsu University of Science and TechnologyZhenjiang 212003China Shanghai Engineering Research center of Marine Renewable Energy College of Engineering Science and Technol-ogyShanghai Ocean UniversityShanghai 201306China China Ship Scientific Research center Wuxi 214082China

The water-drop-shaped pressure hull has a good streamline,which has good application prospect in the underwater observatory.Therefore,this study conducted analytical,experimental and numerical investigation of the buckling properties of water-drop-shaped pressure hulls under hydrostatic pressure.A water-drop experiment was conducted to design water-drop-shaped pressure hulls with various shape indices.The critical loads for the water-drop-shaped pressure hulls were resolved by using Mushtari’s formula.Several numerical simulations including linear buckling analysis and nonlinear buckling analysis including eigenmode imperfections were performed.The results indicated that the critical loads resolved by Mushtari's formula were in good agreement with the linear buckling loads from the numerical simulations.This formula can be extended to estimate the buckling capacity of water-drop-shaped pressure hulls.In addition,three groups of pressure hulls were fabricated by using stereolithography,a rapid prototyping technique.Subsequently,three groups of the pressure hulls were subjected to ultrasonic measurements,optical scanning,hydrostatic testing and numerical analysis.The experimental results were consistent with the numerical results.The results indicate that the sharp end of the water-drop-shaped pressure hulls exhibited instability compared with the blunt end.This paper provides a new solution to the limitations of experimental studies on the water-drop-shaped pressure hulls as well as a new configuration and evaluation method for underwater observatories.

关键词： buckling pressure hull water drop underwater observatory

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Slice Data Based Support Generation Algorithm for Fused Deposition Modeling

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Tsinghua Science and Technology 2009年第S1期14卷 223-228页

作者：黄小毛叶春生莫健华刘海涛 rapid prototyping center State Key Laboratory of Material Process and Die and Mould Technology Huazhong University of Science and Technology

This paper presents a robust algorithm to generate support for fused deposition modeling (FDM). Since many flaws appear in most stereo lithography (STL) models, this algorithm utilizes slice data as input. A top-down approach was used to calculate the support slice layer by layer. The generation algorithm was described in detail including the slice grouping, oriental bounding box (OBB) calculation, offsetting, and Boolean operations. Several cases are given to validate the efficiency and robustness of the procedure. The algorithm provides necessary support not only for hanging surface but also for hanging vertexes and edges with O(n) time complexity, where n is the number of layers. The algorithm fully utilizes the parts’ self-support ability and reduces support volume to the maximum extent. This slice data based algorithm has the same efficiency as the STL based algorithm but is more stable, which significantly enhances the robustness of the support generation process.

关键词： rapid prototype manufacturing (RPM) support slice data fused deposition modeling

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Fabrication and integration of photonic devices for phase-change memory and neuromorphic computing

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International Journal of Extreme Manufacturing 2024年第2期6卷 2-27页

作者： Wen Zhou Xueyang Shen Xiaolong Yang Jiangjing Wang Wei Zhang center for Alloy Innovation and Design(CAID) State Key Laboratory for Mechanical Behavior of MaterialsXi’an Jiaotong UniversityXi’an 710049People’s Republic of China

In the past decade,there has been tremendous progress in integrating chalcogenide phase-change materials(PCMs)on the silicon photonic platform for non-volatile memory to neuromorphic in-memory computing applications.In particular,these non von Neumann computational elements and systems benefit from mass manufacturing of silicon photonic integrated circuits(PICs)on 8-inch wafers using a 130 nm complementary metal-oxide semiconductor line.Chip manufacturing based on deep-ultraviolet lithography and electron-beam lithography enables rapid prototyping of PICs,which can be integrated with high-quality PCMs based on the wafer-scale sputtering technique as a back-end-of-line process.In this article,we present an overview of recent advances in waveguide integrated PCM memory cells,functional devices,and neuromorphic systems,with an emphasis on fabrication and integration processes to attain state-of-the-art device performance.After a short overview of PCM based photonic devices,we discuss the materials properties of the functional layer as well as the progress on the light guiding layer,namely,the silicon and germanium waveguide platforms.Next,we discuss the cleanroom fabrication flow of waveguide devices integrated with thin films and nanowires,silicon waveguides and plasmonic microheaters for the electrothermal switching of PCMs and mixed-mode operation.Finally,the fabrication of photonic and photonic–electronic neuromorphic computing systems is reviewed.These systems consist of arrays of PCM memory elements for associative learning,matrix-vector multiplication,and pattern recognition.With large-scale integration,the neuromorphic photonic computing paradigm holds the promise to outperform digital electronic accelerators by taking the advantages of ultra-high bandwidth,high speed,and energy-efficient operation in running machine learning algorithms.

关键词： nanofabrication silicon photonics phase-change materials non-volatile photonic memory neuromorphic photonic computing

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Potential effects of automated driving on vehicle travel demand: A comparison of three case cities

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Journal of Traffic and Transportation Engineering(English Edition) 2024年第2期11卷 348-361页

作者： Jingchen Dai Ruimin Li Zhiyong Liu School of Civil Engineering Tsinghua UniversityBeijing 100084China Hang Lung center for Real Estate Tsinghua UniversityBeijing 100084China School of Traffic and Transportation Beijing Jiaotong UniversityBeijing 100044China

Automated vehicles(AVs)hold the potential to reduce road accidents,mitigate traffic congestion,and improve travel experience.However,the possible countervailing impacts from the changes in underserved populations’vehicle travel demand tend to be overlooked.To determine the vehicle travel demand changes that resulted from underserved populations aged between 6 and 80,this paper explores the latent effect of AVs on vehicle kilometers traveled(VKT)in a fully AV environment using person trip survey data from the cities of Sanya,Shijiazhuang,and Shenzhen in China.This paper uses the natural decline hypothesis of travel demand and proposes a regression model to investigate the difference among the cities’latent vehicle travel demand.Results show that the average VKT of the overall population in Sanya,Shijiazhuang,and Shenzhen increased by 33.4%,47.0%,and46.8%,respectively.The analysis of the regression model confirms that the current travel behavior of individuals can affect the degree of increase in their average VKT.Integrating AVs into public transport,increasing the acceptance of automated shared mobility options,transforming road space use type,and prototyping AV designs with various features and needs are potential methods to cope with the countervailing impacts.The total VKT of the overall population increased by approximately 10%-25%depending on the city.The conclusions of this paper provide informative insights into the evaluation of VKT for underserved populations and contribute to the deployment of AVs to address equity and inclusion issues.

关键词： Automated vehicles Vehicle kilometers traveled Aging population Travel behavior Natural decline hypothesis

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3D时代:简单光化学方法实现无机纳米材料复杂3D结构打印

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Science Bulletin 2024年第8期69卷 997-999页

作者：姜秀娥 Research center for Analytical Science College of ChemistryNankai UniversityTianjin 300071China

3D printing,or more formally known as additive manufacturing,is a collection of layer-by-layer approaches to assemble materials into freeform objects in 3D [1].Compared with traditional manufacturing technologies,it represents a disruptive process that benefits from the freedom in 3D structural designs and unlocks new material properties and device functionalities [1].These compelling capabilities render 3D printing attractive in fundamental research,industry,and our daily life,with applications ranging from rapid prototyping of customized products [2] to advanced engineering of biomedical implants [3],optics [4],and electronics[5].The past decade has witnessed the rapid progress of 3D printing in terms of new printing mechanism [2],more complex structures,and higher throughput [6].

关键词： printing render formally

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Osteochondral Integrated Scaffolds with Gradient Structure by 3D Printing Forming

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International Journal of Automation and computing 2015年第2期12卷 220-228页

作者： Wei-Hua Chen Yuan-Yuan Liu Fu-Hua Zhang Yong-Ze Yu Hai-Ping Chen Qing-Xi Hu rapid Manufacturing Engineering center Shanghai University

Recently in the area of biological manufacturing and rapid prototyping manufacturing, the bone scaffolds based on the additive manufacturing in repairing bone defects have been paid more and more attention. In the process of preparation, path planning directly affects the structure, performance as well as the final bone cell culture conditions. Due to the special natural bone scaffold structural characteristic, the traditional rapid prototyping(RP) path planning is not fully suitable for the preparation of bone scaffolds. In this paper, based on the 3D printing extrusion forming technology, a method of path planning for osteochondral integrated scaffolds with gradient structure is put forward, which provides a theoretical basis for bone-scaffold modeling and practical preparation. The implementation of the path planning processing system makes it possible to process data automatically from the initial stereo lithography(STL) model of the actual bone defect part by computer X-ray tomography technique(CT) scan or modeling,to generate the path code and to generate the final machining information after post-processing. This work provides some guidelines for independent research and development of automation equipment for biological manufacturing preparation and software technology.The experiment and test results have verified the validity of the path planning method and the good properties of the bone scaffolds with gradient structures.

关键词： 3D printing,biological bone-scaffold,path planning,additive manufacturing,tissue engineering.

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A novel method to fabricate TiAl intermetallic alloy 3D parts using additive manufacturing

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Defence Technology（防务技术） 2017年第2期13卷 72-76页

作者： J.J.S. Dilip H. Miyanaji Austin Lassell Thomas L. Starr Brent Stucker rapid prototyping center Department of Industrial EngineeringUniversity of LouisvilleLouisvilleKY 40292USA Department of Chemical Engineering University of LouisvilleLouisvilleKY 40292USA 3DSIM 1794 Olympic ParkwaySuite 110Park CityUT 84098USA

The present work explores the feasibility of fabricating porous 3D parts in TiAl intermetallic alloy directly from Tie6Ale4V and Al powders. This approach uses a binder jetting additive manufacturing process followed by reactive sintering. The results demonstrate that the present approach is successful for realizing parts in TiAl intermetallic alloy.

关键词： Additive manufacturing Binder jetting Intermetallic Titanium aluminide Reactive sintering

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From bibliometric analysis: 3D printing design strategies and battery applications with a focus on zinc‐ion batteries

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SmartMat 2024年第1期5卷 59-82页

作者： Xuan Gao Kejiang Liu Chang Su Wei Zhang Yuhang Dai Ivan P.Parkin Claire J.Carmalt Guanjie He Christopher Ingold Laboratory Department of ChemistryUniversity College LondonLondonUK Electrochemical Innovation Lab(EIL) Department of Chemical EngineeringUniversity College LondonLondonUK Department of Physics Hong Kong Baptist UniversityHong KongChina Nanyang Technopreneurship center Nanyang Technological UniversitySingaporeSingapore

Three‐dimensional(3D)printing has the potential to revolutionize the way energy storage devices are designed and manufactured.In this paper,we explore the use of 3D printing in the design and production of energy storage devices,especially zinc‐ion batteries(ZIBs)and examine its potential advantages over traditional manufacturing methods.3D printing could significantly improve the customization of ZIBs,making it a promising strategy for the future of energy storage.In particular,3D printing allows for the creation of complex,customized geometries,and designs that can optimize the energy density,power density,and overall performance of batteries.Simultaneously,we discuss and compare the impact of 3D printing design strategies based on different configurations of film,interdigitation,and framework on energy storage devices with a focus on ZIBs.Additionally,3D printing enables the rapid prototyping and production of batteries,reducing leading times and costs compared with traditional manufacturing methods.However,there are also challenges and limitations to consider,such as the need for further development of suitable 3D printing materials and processes for energy storage applications.

关键词： 3D printing battery commercialization bibliometric analysis electrode configurations zinc‐ion battery

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Design and Fabrication of Manual Bone Scaffolds via rapid prototyping

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武汉理工大学学报 2006年第S1期28卷 280-283页

作者： HU Qingxi,HUANG Xianxu,LIN Liulan,FANG Minglun (rapid Manufacturing Engineering center,Shanghai University,Shanghai 200444,China) rapid Manufacturing Engineering center Shanghai UniversityShanghai 200444China

Biomaterials,β-TCP (β-tricalcium phosphate),and polymeric blends were used on a selective laser sintering (SLS) system,a kind of rapid prototyping machine,to produce some scaffold specimens which were designed with CAD (Computer Aided Design) software according to bone tissue engineering scaffold characteristics and properties. The scaffolds were produced with a pore size 800μm,and regular geometrical cylinder or sphere pores,depending on the processing. Then the specimens were treated by high temperature to assess their suitability on SLS processing. Their microstructures which had been investigated by scanning electron microscopy (SEM) exhibited fully interconnected pore which had a range size 500-800μm. X-ray diffraction analysis performed after high temperature treatment showed that β-TCP did not change. The porosity checked was about 71.29%. And the treated scaffolds could be provided an inter-connective network for the circulation of tissue fluid and hence sped up osteogenesis.

关键词： bone tissue engineering CAD rapid prototyping scaffold

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Experiments and shape prediction of plasma deposit layer using artificial neural network

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Journal of Shanghai University(English Edition) 2006年第5期10卷 443-448页

作者：徐继彭林柳兰胡庆夕方明伦 rapid Manufacturing Engineering center Shanghai University Shanghai 200444 P.R. China

Plasma surfacing is an important enabling technology in high-performance coating applications. Recently, it is applied to rapid prototyping/tooling to reduce development time and manufacturing cost for the development of new products. However, this technology is in its infancy, it is essential to understand clearly how process variables relate to deposit microstructure and properties for plasma deposition manufacturing process control. In this paper, layer appearance of single surfacing under different parametem such as plasma current, voltage, powder feedrate and travel speed is studied. Back-propagation neural networks are used to associate the depositing process variables with the features of the deposit layer shape. These networks can be effectively implemented to estimate the layer shape. The results Indicate that neural networks can yield fairly accurate results and can be used as a practical tool in plasma deposition manufacturing process.

关键词： plasma deposition manufacturing （PDM） artificial neural network （ANN） deposit layer back-propagation.

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