CAD'22 Proceedings最新文献_第3页

Reconfigurable Soft Robots based on Modular Design 基于模块化设计的可重构软机器人

CAD'22 Proceedings Pub Date : 2022-06-08 DOI: 10.14733/cadconfp.2022.324-328

Zhongyuan Liao, Junjian Chen, Y. Cai

引用次数: 0

Proceedings of CAD’22, Beijing, China, July11-13, 2022, 267-270 © 2022 CAD Solutions, LLC, http://www.cad-conference.net Title: An Efficient Feature Point Extraction Algorithm for Noisy Point Cloud ©2022 CAD Solutions, LLC, http://www.cad-conference.net标题:一种高效的噪声点云特征点提取算法

CAD'22 Proceedings Pub Date : 2022-06-08 DOI: 10.14733/cadconfp.2022.267-270

Nanhua Huang, Ming Chen, Zhengqing Zhang, Shenglian Lu

{"title":"Proceedings of CAD’22, Beijing, China, July11-13, 2022, 267-270 © 2022 CAD Solutions, LLC, http://www.cad-conference.net Title: An Efficient Feature Point Extraction Algorithm for Noisy Point Cloud","authors":"Nanhua Huang, Ming Chen, Zhengqing Zhang, Shenglian Lu","doi":"10.14733/cadconfp.2022.267-270","DOIUrl":"https://doi.org/10.14733/cadconfp.2022.267-270","url":null,"abstract":"Introduction Point cloud data is more and more widely used in reverse engineering, cultural relic restoration, architecture and many other fields. . In practice, the obtained data is often non-uniformly sampled and of noises. Feature exaction is a key step for the subsequent processing of point clouds such as matching, segmentation and recognition. How to identify point features for noisy point cloud and improve the efficiency are challenging at present. In previous studies, Nieet al. [2] used a surface smooth shrinkage index (SSI) to measure the degree of surface change, and judged feature points according to the absolute value of SSI of each point. This method has a good anti-noise ability and can extract sharp feature points, but it cannot work for smooth features. In practical applications, we find that the regions of smooth features (such as fillets) have a higher density than other non-featured places, as these interested regions are usually scanned multiple times or the scanning orientation is adjusted to obtain a relatively larger scanning point density at these places. Considering this fact, a combined index of density and SSI is proposed so as to recognize smooth features, and the recognition is also accelerated through octree data structure.","PeriodicalId":316648,"journal":{"name":"CAD'22 Proceedings","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124390756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Higher Order Algebraic Signed Distance Fields 高阶代数符号距离域

CAD'22 Proceedings Pub Date : 2022-06-08 DOI: 10.14733/cadconfp.2022.287-291

Gábor Valasek, Róbert Bán

{"title":"Higher Order Algebraic Signed Distance Fields","authors":"Gábor Valasek, Róbert Bán","doi":"10.14733/cadconfp.2022.287-291","DOIUrl":"https://doi.org/10.14733/cadconfp.2022.287-291","url":null,"abstract":"Introduction: Signed distance functions (SDFs) are powerful implicit representations of curves and surfaces. Beyond encoding volume boundaries as their zero level-set, they also convey global geometric information about the scene as they map signed distances to all points in space. In real-time applications, their most common numerical representation is a regular grid of two or three dimensions. In conjunction with an interpolation method to infer a continuous approximation de ned on all points of space, these can be e ciently evaluated on the GPU such that even the most demanding applications can utilize them [4, 5]. Several authors proposed to use rst order approximations to the SDF at the samples, e.g. gradients [3] or plane equations [1]. In this paper, we present a straightforward generalization of this approach to higher orders and discuss various alternatives to the appropriate ltering of samples such that the inferred SDF reconstructs the given higher order derivatives at the samples. Our focus is on applications in high performance visualizations, as such, we prioritize run-time performance over optimal storage and restrict sampling topologies in our measurements to regular grids. We also discuss the shortcomings of this approach as means to decrease storage for complex shapes.","PeriodicalId":316648,"journal":{"name":"CAD'22 Proceedings","volume":"284 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124535095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Topology Optimization for Design of Hybrid Lattice Structures with Multiple Functional Microstructure Configurations 具有多种功能微结构的杂化晶格结构拓扑优化设计

CAD'22 Proceedings Pub Date : 2022-06-08 DOI: 10.14733/cadconfp.2022.271-276

Yifan Guo, Yongsheng Ma, Rafiq Ahmad

{"title":"Topology Optimization for Design of Hybrid Lattice Structures with Multiple Functional Microstructure Configurations","authors":"Yifan Guo, Yongsheng Ma, Rafiq Ahmad","doi":"10.14733/cadconfp.2022.271-276","DOIUrl":"https://doi.org/10.14733/cadconfp.2022.271-276","url":null,"abstract":"Introduction: Lattice structures (LSs) have been an emerging solution toward lightweight and mechanically efficient structures [2-3]. However, while the lattice structure presents a vast design space and advantage, it also poses a challenge to existing design methods. Existing LSs design methods rarely consider microstructures with functionalities, like negative Poisson's ratio [8] and extreme thermal expansion [5]; Therefore, this work proposes a method based on topology optimization and homogenization theory to design hybrid lattice structures with multiple functional microstructure configurations to fill the gap in the design approach for multi-functional lattice structures. The flow chart of the proposed method is shown in Fig 1. There are two steps in this method. At first, multiple functional microstructure lattice units are obtained through topology optimization and homogenization theory. Then, the microstructures are treated as homogeneous materials with effectively homogenized properties for macroscopic analysis, and the ordered SIMP (Solid isotropic material with penalization) interpolation method [7] is applied to achieve the interpolation of multiple microstructures. Finally, the obtained hybrid lattice structure theoretically has both the properties of macroscopic optimization and the functionalities of microstructure units. Both the microstructure and macrostructure design variables are updated by the Method of Moving Asymptote (MMA) algorithm [4]. To verify this proposed method, an optimization model that the functional microstructure is set to be zero thermal expansion coefficient, and a standard minimized compliance problem is considered in macroscale is created. Numerical examples and data comparisons are presented.","PeriodicalId":316648,"journal":{"name":"CAD'22 Proceedings","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126277491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Simple Interactive Tool for the CAD Modelling of Surgical Guides for Autologous Ear Reconstruction 自体耳部再造术导板CAD建模的简单交互式工具

CAD'22 Proceedings Pub Date : 2022-06-07 DOI: 10.14733/cadconfp.2022.1-5

E. Mussi, Michaela Servi, Y. Volpe, F. Facchini

引用次数: 1