基于CLO 3D平台的虚拟广绣定制服装数字化设计

文章将岭南传统广绣元素与虚拟定制服装数字化设计手段相融合,利用CLO 3D虚拟服装设计软件平台,设计出一款广绣定制服装作品。研究基于数字化虚拟服装技术,明确虚拟广绣定制服装的制作流程。研究结果表明,通过新的定制方法,能够有效缩短服装定制时长,降低服装定制成本,同时满足不同体型的合体要求。这项研究为广绣技术的传承与发展指明了新的方向,也为从事服装定制的企业推动数字化进程提供了有益的参考。

基于GIS与Scoops 3D的水动力型滑坡区域稳定性分析

库岸边坡在库水位变动、降雨等水动力因素的作用下易发生水动力型滑坡,进而威胁库区居民生命及财产安全。以某流域HD和DHQ库段为主要研究区段,在对已有滑坡点进行地质调查和遥感解译的基础上,将ArcGIS的空间分析与三维斜坡稳定性分析模型(Scoops 3D)相结合,对研究区段的潜在滑面进行系统的三维搜索及识别,并基于GIS数据与室内试验等确定计算参数,对天然和暴雨两种工况下的区域滑坡稳定性进行评价比较。结果表明:(1)研究区历史滑坡点分布与基础地质环境、岩土体强度指标参数有很强的相关性;(2)天然工况下,非稳定区主要分布在DHQ坝区、迤场、DH坝址、拉巴铁、宝塔河以及甸尾附近;(3)暴雨工况下,非稳定区面积较天然工况有显著的增大,DHQ坝址、营盘镇、甸尾、HD坝址附近有较为密集的分布;(4)暴雨工况下模型计算的非稳定区与历史滑坡点的分布特征基本一致。由此可见,三维斜坡稳定性分析模型可以较为准确模拟不同工况下滑坡稳定性,且易发程度区分明显,稳定性评价结果在一定程度上反映了研究区段的稳定性时空分布。

基于Unity 3D的电梯事故应急演练系统设计

根据传统电梯事故应急演练存在安全隐患、花费开销大、受时空局限等特点,为了降低电梯事故发生率,针对电梯事故,提出了基于Unity 3D电梯事故应急演练系统设计方案,进行电梯事故应急演练系统整体功能模块设计。利用3DS Max建立三维模型,并对模型做出模型减面、材质调配、贴图渲染等优化操作。模型被导入Unity 3D后,进行虚拟场景搭建、图形用户界面(GUI)设计、脚本编辑。针对自动扶梯的挤压事故,介绍系统的演练流程和演练效果。实现应急演练系统总体功能,满足了演练人员的基本培训需求。

InfoWorks ICM-Delft 3D耦合模型在排水体系中点源污染溯源研究

城市排水的点源污染是引起黑臭水体的重要原因之一,该研究借助多元监测体系获得的水质数据,结合InfoWorks ICM-Delft 3D耦合模型及差分进化算法(DE)构建了污染溯源模型。以中山市某区域为研究对象,验证了耦合模型与DE算法对污染溯源的有效性。研究表明,连续排放污染源的位置、流量、污染物浓度的溯源精度较高,相对误差均在±0.12的范围内,并且污染溯源精度随着污染源流量增大而下降;随着污染流量增大,瞬时排放污染流量与浓度溯源的相对误差逐渐减小,模型对高流量污染事件的溯源精度较高。该模型体系的构建和应用为城市排水点源污染的溯源提供了科学指导。

Digital light processing based multimaterial 3D printing:challenges,solutions and perspectives

Multimaterial(MM)3D printing shows great potential for application in metamaterials,flexible electronics,biomedical devices and robots,since it can seamlessly integrate distinctive materials into one printed structure.Among numerous MM 3D printing technologies,digital light processing(DLP)MM 3D printing is compatible with a wide range of materials from hydrogels to ceramics,and can print MM 3D structures with high resolution,high complexity and fast speed.This paper introduces the fundamental mechanisms of DLP 3D printing,and reviews the recent advances of DLP MM 3D printing technologies with emphasis on material switching methods and material contamination issues.It also summarizes a number of typical examples of DLP MM 3D printing systems developed in the past decade,and introduces their system structures,working principles,material switching methods,residual resin removal methods,printing steps,as well as the representative structures and applications.Finally,we provide perspectives on the directions of the further development of DLP MM 3D printing technology.

基于Style 3D针织运动装虚拟设计与应用

基于Style 3D虚拟服装试衣软件,通过对虚拟试衣技术现状的分析,以针织运动装作为虚拟试衣对象,从四个部分进行展开,包含人体建模,版片的三维排布与缝合,运动装面料仿真与试穿效果展示,以及驳样改款与模块组合。借助于三维面料扫描技术获取面料材质纹理和相关辅料配件,进一步丰富针织运动装的装饰效果。3D快速驳样改款和虚拟展示能有效地优化设计过程,针织运动装模块组合模拟应用适应快时尚节奏下改款搭配的需求,根据现有版型快速驳样改款亦是对传统设计与展示模式的一种突破。

A Web-Based Approach for the Efficient Management of Massive Multi-source 3D Models

Effectively managing extensive,multi-source,and multi-level real-scene 3D models for responsive retrieval scheduling and rapid visualization in the Web environment is a significant challenge in the current development of real-scene 3D applications in China.In this paper,we address this challenge by reorganizing spatial and temporal information into a 3D geospatial grid.It introduces the Global 3D Geocoding System(G_(3)DGS),leveraging neighborhood similarity and uniqueness for efficient storage,retrieval,updating,and scheduling of these models.A combination of G_(3)DGS and non-relational databases is implemented,enhancing data storage scalability and flexibility.Additionally,a model detail management scheduling strategy(TLOD)based on G_(3)DGS and an importance factor T is designed.Compared with mainstream commercial and open-source platforms,this method significantly enhances the loadable capacity of massive multi-source real-scene 3D models in the Web environment by 33%,improves browsing efficiency by 48%,and accelerates invocation speed by 40%.

基于Smart 3D软件的船舶二维与三维集成设计变更

船舶二维与三维集成设计流程复杂、变更需求大。梳理船舶设计变更研究现状。基于Smart 3D软件,从数据处理、二维与三维映射转换和设计变更管理等方面进行船舶二维与三维集成设计变更关键技术分析,并对船舶二维与三维集成设计变更的可行性进行实例验证。结果表明,基于Smart 3D软件进行船舶二维与三维集成设计变更可有效提升集成设计变更的精度与管理效率。

基于Unity 3D智能制造产线虚拟仿真实训系统研究与实现

针对智能生产线建设资金投入大、运行维护成本高、系统复杂,难以直观呈现产线集成原理、工作过程、设备结构,实训风险大且工位不足等痛点难点问题,以某实际智能生产线为原型,运用UG和3Ds Max对智能生产线全部设备进行模型构建及部分动作动画还原,利用Photoshop和Adobe Illustrator进行模型贴图处理和UI界面设计,利用Axure进行软件原型的设计,使用C#语言及Visual Studio完成代码编写,最终基于Unity 3D平台开发了一套沉浸感强、交互性好的虚拟仿真实训系统,使学习者能够直观、便捷地开展体验式学习,全面掌握智能制造的操作流程与运行原理,实现理论与实践、现实与虚拟的深度融合。

基于FLAC 3D的云南省沙坝村滑坡稳定性分析

为了分析云南省丘北县沙坝村滑坡稳定性,基于FLAC 3D软件数值模拟方法,通过Rhino 6软件与Griddle 2.0插件建立了滑坡稳定性分析模型,通过模拟天然工况与暴雨工况条件下滑坡位移与内部应力状态,计算该滑坡的安全系数。结果表明:该滑坡在天然工况下安全系数为1.426,处于稳定状态;暴雨工况下,该滑坡安全系数为1.020,处于失稳边缘,滑坡后部剪应变增量集中,可能产生裂缝。研究成果可为制定针对性的滑坡防治措施提供参考。

基于FLAC 3D数值模拟的巷道支护优化设计研究

以大隆矿二水平S1E-1303运顺为研究对象,结合大隆矿历年来支护设计类型和国内外先进支护技术方案,采用FLAC 3D 5。0建立数值模拟模型,分析其巷道稳定情况;对深部动压影响区、构造压力带、软岩破碎带等特殊地质情况分析,对历年来常规支护设计方案的模拟及优化,优化形成的支护设计方案,有效地控制顶板下沉,使巷道围岩能最大限度地发挥自身承载作用,可以减少锚杆2500根/千米及配套树脂药卷等,具有较好的经济效益,可在今后的工程中推广采用。

基于FLAC 3D下水工建筑基坑工程支护结构设计研究

香炉山输水隧洞泵闸枢纽地质环境复杂,基坑工程的建设面临多方面因素影响,为此针对该基坑工程开展支护结构方案优化设计。利用FLAC 3D对不同支护结构型式下的基坑沉降、闸站沉降以及桩体位移进行了仿真计算,评价认为内支撑支护方案最优,且桩间距控制在不超过2.5m最为适宜。研究成果可为水工建筑基坑工程支护设计及工艺参数优化提供参考。

基于CLO 3D的无袖旗袍虚拟设计浅析

文章主要对关于带腰省的旗袍在3D立体成衣中的实验过程进行研究,研究款式选择为带有腰省的X型衣身廓型旗袍。通过CLO 3D服装设计软件,完成制版、缝制、模拟、渲染、印花等多项工作内容,探究由传统真人模特试衣的方式到利用软件技术进行服装立体展示的转变。研究认为,采用CLO 3D平台进行旗袍设计具有真实直观的效果,因此可推广CLO 3D数字化虚拟技术在传统服饰中的创新设计应用,以传统服装结构理论为基础,借助CLO 3D软件建立旗袍穿着模型。

Style 3D软件在汉服虚拟展示设计中的应用

文章探讨了Style3D软件在汉服虚拟展示设计中的应用。结合历史、人物背景与阶级背景,运用Style3D软件构建精确汉服三维模型,设计动态走秀动作,并运用新媒体技术制作推广短视频。此方法突破时间和空间限制,降低成本投入,吸引更多人关注汉服文化。数字文物展示代表博物馆信息化应用,借助Style3D软件创建汉服虚拟模型,实现文物考古研究、保护及展示。此外,为解决汉服定制难题,设计开发汉服虚拟模型,利用软件进行三维虚拟建模,预先展示设计效果,降低成本,满足消费者需求。

CLO 3D技术在国内虚拟服装应用领域的可视化分析

目的:CLO 3D三维虚拟试衣软件作为当下虚拟服装领域应用最为广泛的数字化工具之一,对后疫情时代时尚产业的数字化转型起着至关重要的作用。为了更好地掌握其当下的研究趋势,现对其进行全面整理与总结。方法:本研究以CNKI数据库中2012年至2023年间有关CLO 3D技术在国内虚拟服装研究的文献为研究对象,以首次收录时间为切入点,运用词频统计、共词分析、聚类分析等方法,从研究现状、研究方法、分布分析、作者分析、关键词分析等方面,建立可视知识图谱,对12年来基于CLO 3D技术在虚拟服装领域的应用研究现状进行分析。结论:研究表明,该领域的发文量呈现逐步上升与多学科交叉融合发展的趋势。但研究群体较为小而分散,在跨单位、跨学科等方面的学术合作上面有待提升。同时形成了虚拟试衣、CLO 3D、数字化、服装设计、虚拟展示、虚拟仿真、悬垂、虚拟服装、三维模拟共9个关键词的研究热点,CLO3D技术提高了服装设计与生产的效率,满足消费者多元化需求,加快了服装产业的数字化进程,会持续为虚拟服装产业与学术界的发展提供新的机遇与挑战。

Extrusion 3D printing of carbon nanotube-assembled carbon aerogel nanocomposites with high electrical conductivity

Carbon nanotubes(CNTs)with high aspect ratio and excellent electrical conduction offer huge functional improvements for current carbon aerogels.However,there remains a major challenge for achieving the on-demand shaping of carbon aerogels with tailored micro-nano structural textures and geometric features.Herein,a facile extrusion 3D printing strategy has been proposed for fabricating CNT-assembled carbon(CNT/C)aerogel nanocomposites through the extrusion printing of pseudoplastic carbomer-based inks,in which the stable dispersion of CNT nanofibers has been achieved relying on the high viscosity of carbomer microgels.After extrusion printing,the chemical solidification through polymerizing RF sols enables 3D-printed aerogel nanocomposites to display high shape fidelity in macroscopic geometries.Benefiting from the micro-nano scale assembly of CNT nanofiber networks and carbon nanoparticle networks in composite phases,3D-printed CNT/C aerogels exhibit enhanced mechanical strength(fracture strength,0.79 MPa)and typical porous structure characteristics,including low density(0.220 g cm^(-3)),high surface area(298.4 m^(2)g^(-1)),and concentrated pore diameter distribution(~32.8nm).More importantly,CNT nanofibers provide an efficient electron transport pathway,imparting 3D-printed CNT/C aerogel composites with a high electrical conductivity of 1.49 S cm^(-1).Our work would offer feasible guidelines for the design and fabrication of shape-dominated functional materials by additive manufacturing.

Depth-Guided Vision Transformer With Normalizing Flows for Monocular 3D Object Detection

Monocular 3D object detection is challenging due to the lack of accurate depth information.Some methods estimate the pixel-wise depth maps from off-the-shelf depth estimators and then use them as an additional input to augment the RGB images.Depth-based methods attempt to convert estimated depth maps to pseudo-LiDAR and then use LiDAR-based object detectors or focus on the perspective of image and depth fusion learning.However,they demonstrate limited performance and efficiency as a result of depth inaccuracy and complex fusion mode with convolutions.Different from these approaches,our proposed depth-guided vision transformer with a normalizing flows(NF-DVT)network uses normalizing flows to build priors in depth maps to achieve more accurate depth information.Then we develop a novel Swin-Transformer-based backbone with a fusion module to process RGB image patches and depth map patches with two separate branches and fuse them using cross-attention to exchange information with each other.Furthermore,with the help of pixel-wise relative depth values in depth maps,we develop new relative position embeddings in the cross-attention mechanism to capture more accurate sequence ordering of input tokens.Our method is the first Swin-Transformer-based backbone architecture for monocular 3D object detection.The experimental results on the KITTI and the challenging Waymo Open datasets show the effectiveness of our proposed method and superior performance over previous counterparts.

Effect of fractures on mechanical behavior of sand powder 3D printing rock analogue under triaxial compression

In practical engineering applications,rock mass are often found to be subjected to a triaxial stress state.Concurrently,defects like joints and fractures have a notable impact on the mechanical behavior of rock mass.Such defects are identified as crucial contributors to the failure and instability of the surrounding rock,subsequently impacting the engineering stability.The study aimed to investigate the impact of fracture geometry and confining pressure on the deformation,failure characteristics,and strength of specimens using sand powder 3D printing technology and conventional triaxial compression tests.The results indicate that the number of fractures present considerably influences the peak strength,axial peak strain and elastic modulus of the specimens.Confining pressure is an important factor affecting the failure pattern of the specimen,under which the specimen is more prone to shear failure,but the initiation,expansion and penetration processes of secondary cracks in different fracture specimens are different.This study confirmed the feasibility of using sand powder 3D printing specimens as soft rock analogs for triaxial compression research.The insights from this research are deemed essential for a deeper understanding of the mechanical behavior of fractured surrounding rocks when under triaxial stress state.

Rainfall-triggered waste dump instability analysis based on surface 3D deformation in physical model test

Landslide is the second largest natural disaster after earthquake. It is of significance to study the evolution laws and failure mechanism of landslides based on its surface 3D deformation information. Based on the rainfall-triggered waste dump instability model test, we studied the failure mechanisms of the waste dump by integrating surface deformation and internal slope stress and proposed novel parameters for identifying landslide stability. We developed a noncontact measurement device, which can obtain millimeter-level 3D deformation data for surface scene in physical model test;Then we developed the similar materials and established a test model for a waste dump. Based on the failure characteristics of slope surface, internal stress of slope body and displacement contours during the whole process, we divided the slope instability process in model test into four stages: rainfall infiltration and surface erosion, shallow sliding, deep sliding, and overall instability. Based on the obtained surface deformation data, we calculated the volume change during slope instability process and compared it with the point displacement on slope surface. The results showed that the volume change can not only reflect the slow-ultra acceleration process of slope failure, but also fully reflect the above four stages and reduce the fluctuations caused by random factors. Finally, this paper proposed two stability identification parameters: the volume change rate above the slip surface and the relative velocity of volume change rate. According to the calculation of these two parameters in model test, they can be used for study the deformation and failure mechanism of slope stability.

Rapid fabrication of modular 3D paper-basedmicrofluidic chips using projection-based 3D printing

Paper-based microchips have different advantages,such as better biocompatibility,simple production,and easy handling,making them promising candidates for clinical diagnosis and other fields.This study describes amethod developed to fabricate modular three-dimensional(3D)paper-based microfluidic chips based on projection-based 3D printing(PBP)technology.A series of two-dimensional(2D)paper-based microfluidic modules was designed and fabricated.After evaluating the effect of exposure time on the accuracy of the flow channel,the resolution of this channel was experimentally analyzed.Furthermore,several 3D paper-based microfluidic chips were assembled based on the 2D ones using different methods,with good channel connectivity.Scaffold-based 2D and hydrogel-based 3D cell culture systems based on 3D paper-based microfluidic chips were verified to be feasible.Furthermore,by combining extrusion 3D bioprinting technology and the proposed 3D paper-based microfluidic chips,multiorgan microfluidic chips were established by directly printing 3D hydrogel structures on 3D paperbased microfluidic chips,confirming that the prepared modular 3D paper-based microfluidic chip is potentially applicable in various biomedical applications.