Computer-Aided Design最新文献_第9页

Texture-Driven Adaptive Mesh Refinement with Application to 3D Relief 纹理驱动的自适应网格细化与应用于3D浮雕

IF 4.3 3区计算机科学

Computer-Aided Design Pub Date : 2023-11-04 DOI: 10.1016/j.cad.2023.103640

Jiaze Li , Shengfa Wang , Eric Paquette

{"title":"Texture-Driven Adaptive Mesh Refinement with Application to 3D Relief","authors":"Jiaze Li , Shengfa Wang , Eric Paquette","doi":"10.1016/j.cad.2023.103640","DOIUrl":"https://doi.org/10.1016/j.cad.2023.103640","url":null,"abstract":"<div><p>A high-quality 3D relief requires an appropriate refinement that has accurate carving boundaries with a limited number of added polygons. Most existing refinement methods cannot be applied to 3D reliefs directly, as they exhibit a mixture of problems such as not accurately following the texture contours, creating ill-shaped triangles, and excessively increasing the polygon count. We introduce an efficient texture-driven method to adaptively refine a mesh for 3D reliefs. From the user-provided binary texture, we conduct a feature-preserving self-adaptive sampling of texture contours. Our other inputs are a 3D mesh and the mapping of that mesh to texture space. We adapt a constraint-driven Red–Green subdivision to locally subdivide the mesh around the contours. Then, we conduct the adaptive mesh refinement by introducing a feature-adaptive <span><math><msqrt><mrow><mn>3</mn></mrow></msqrt></math></span>-subdivision. Finally, we apply the proposed algorithm to 3D reliefs, which enables generating a distinct relief. The presented method can attain accurate 3D relief while maintaining good mesh quality without the necessity of a high-resolution input. When compared to alternative approaches, ours consistently demonstrates superior polygon quality and maintains relief boundaries that closely follow the texture contours.</p></div>","PeriodicalId":50632,"journal":{"name":"Computer-Aided Design","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92057928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fabric mechanical parameters for 3D cloth simulation in apparel CAD: A systematic review 服装CAD中织物力学参数的三维仿真研究

IF 4.3 3区计算机科学

Computer-Aided Design Pub Date : 2023-10-30 DOI: 10.1016/j.cad.2023.103638

Xiaoqun Dai , Yan Hong

{"title":"Fabric mechanical parameters for 3D cloth simulation in apparel CAD: A systematic review","authors":"Xiaoqun Dai , Yan Hong","doi":"10.1016/j.cad.2023.103638","DOIUrl":"https://doi.org/10.1016/j.cad.2023.103638","url":null,"abstract":"<div><p>The primary objective of 3D virtual garment simulation within apparel CAD systems is to generate a highly realistic garment that accurately conform to the human body. However, due to the complexity of textile mechanics, variations in measurement technology, and the absence of standardized units of mechanical parameters, there exists considerable confusion surrounding the implementation of mechanical parameters in cloth simulation. Consequently, the accuracy of cloth simulation varies significantly among different apparel CAD systems. This research article aims to enhance the understanding of the fabric mechanical behaviors, measurement techniques, and parameters essential for cloth simulation. To achieve this objective, we first present a concise overview of current garment simulation in apparel CAD systems, focusing on the utilized mechanical parameters and methods for simulation accuracy evaluation. Subsequently, we delve into the fundamental principles of mechanical behavior, discussing measurement methodologies and proposing parameter unifications along with appropriate data ranges. Finally, we conduct a comprehensive review of cloth models and the requisite parameters, while also exploring simulation-based approaches for parameter estimation. This work provides crucial insights into fabric mechanical parameters essential for achieving accurate 3D virtual garment simulation. The findings and information presented herein can be effectively utilized to enhance the precision and fidelity of apparel CAD systems, thereby facilitating advancements in virtual garment design and production.</p></div>","PeriodicalId":50632,"journal":{"name":"Computer-Aided Design","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134666843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Interface-Based Search and Automatic Reassembly of CAD Models for Database Expansion and Model Reuse 面向数据库扩展和模型重用的基于接口的CAD模型搜索与自动重组

IF 4.3 3区计算机科学

Computer-Aided Design Pub Date : 2023-10-28 DOI: 10.1016/j.cad.2023.103630

Lucas Vergez, Arnaud Polette, Jean-Philippe Pernot

{"title":"Interface-Based Search and Automatic Reassembly of CAD Models for Database Expansion and Model Reuse","authors":"Lucas Vergez, Arnaud Polette, Jean-Philippe Pernot","doi":"10.1016/j.cad.2023.103630","DOIUrl":"https://doi.org/10.1016/j.cad.2023.103630","url":null,"abstract":"<div><p><span><span>This paper introduces a new framework for reassembling CAD models of mechanical parts. The generated CAD assemblies are well-constrained, with collision-free parts, and they are ready-to-use for downstream applications. First, input dead CAD models candidate for the reassembly are sorted following a part-by-part interface-based </span>identification algorithm that is capable of characterizing each part according to the assembly slots and interfaces it offers. The slots are then hashed, and the resulting keys are used for fast search of parts in the database. Thus, the parts that can be assembled are quickly identified, and their assembly can be considered according to various scenarios. To support the reassembly steps and satisfy the constraints associated with the specified interfaces, a collision-free kinematic </span>constraint solver<span> is also proposed. During the reassembly steps, the geometry of the slots can also be automatically modified to adjust their dimensions, in order to ensure a perfect fit and to avoid interference at the level of the interfaces. The resulting database can also be further expanded while modifying the relative positions/orientations of the assembled parts. The approach is illustrated on several test cases covering different exploitation scenarios, ranging from simple model reuse to database expansion for machine learning-based applications. Such an automatic reassembly process is particularly innovative, and it clearly paves the way for smart assembly procedures.</span></p></div>","PeriodicalId":50632,"journal":{"name":"Computer-Aided Design","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92057931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Taming Connectedness in Machine-Learning-Based Topology Optimization with Connectivity Graphs 基于连通性图的机器学习拓扑优化中的连通性

IF 4.3 3区计算机科学

Computer-Aided Design Pub Date : 2023-10-26 DOI: 10.1016/j.cad.2023.103634

Mohammad Mahdi Behzadi , Jiangce Chen , Horea T. Ilies

{"title":"Taming Connectedness in Machine-Learning-Based Topology Optimization with Connectivity Graphs","authors":"Mohammad Mahdi Behzadi , Jiangce Chen , Horea T. Ilies","doi":"10.1016/j.cad.2023.103634","DOIUrl":"10.1016/j.cad.2023.103634","url":null,"abstract":"<div><p>Despite the remarkable advancements in machine learning (ML) techniques for topology optimization<span>, the predicted solutions often overlook the necessary structural connectivity required to meet the load-carrying demands of the resulting designs. Consequently, these predicted solutions exhibit subpar structural performance because disconnected components are unable to bear loads effectively and significantly compromise the manufacturability of the designs.</span></p><p>In this paper, we propose an approach to enhance the topological accuracy of ML-based topology optimization methods by employing a predicted dual connectivity graph<span><span><span>. We show that the tangency graph of the Maximal Disjoint Ball Decomposition (MDBD), which accurately captures the topology of the optimal design, can be used in conjunction with a point transformer network to improve the connectivity of the design predicted by Generative Adversarial Networks and </span>Convolutional Neural Networks<span>. Our experiments show that the proposed method can significantly improve the connectivity of the final predicted structures. Specifically, in our experiments the error in the number of disconnected components was reduced by a factor of 4 or more without any loss of accuracy. We demonstrate the flexibility of our approach by presenting examples including various boundary conditions (both seen and unseen), domain resolutions, and initial design domains. Importantly, our method can seamlessly integrate with other existing deep learning-based optimization algorithms, utilize training datasets with models using any valid </span></span>geometric representations, and naturally extend to three-dimensional applications.</span></p></div>","PeriodicalId":50632,"journal":{"name":"Computer-Aided Design","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136093489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reducing the Number of Different Faces in Free-Form Surface Approximations Through Clustering and Optimization 通过聚类和优化减少自由曲面逼近中不同面的数量

IF 4.3 3区计算机科学

Computer-Aided Design Pub Date : 2023-10-21 DOI: 10.1016/j.cad.2023.103633

Yuanpeng Liu , Ting-Uei Lee , Anooshe Rezaee Javan , Nico Pietroni , Yi Min Xie

{"title":"Reducing the Number of Different Faces in Free-Form Surface Approximations Through Clustering and Optimization","authors":"Yuanpeng Liu , Ting-Uei Lee , Anooshe Rezaee Javan , Nico Pietroni , Yi Min Xie","doi":"10.1016/j.cad.2023.103633","DOIUrl":"https://doi.org/10.1016/j.cad.2023.103633","url":null,"abstract":"<div><p>Free-form structures are highly valued for their aesthetic appeal in architecture, but they typically comprise panels of many different shapes, which can pose great challenges for building construction. In this study, we aim to address this issue by proposing a novel clustering–optimization method to reduce the number of different <span><math><mi>n</mi></math></span>-gonal faces in free-form surface approximations. The method partitions the faces into several groups of similar shapes through clustering and transforms the ones within each group toward congruent forms through optimization. By utilizing this approach, the number of geometrically different panels can be reduced while also satisfying a user-specified error threshold. The potential practical application of this method is demonstrated by redesigning the façade of a real architectural project to achieve cost-effective solutions.</p></div>","PeriodicalId":50632,"journal":{"name":"Computer-Aided Design","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0010448523001653/pdfft?md5=4ee1082f40b2dd0482dd49485d1d919d&pid=1-s2.0-S0010448523001653-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91987319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Shape Derivative Approach to Domain Simplification 一种区域简化的形状导数方法

IF 4.3 3区计算机科学

Computer-Aided Design Pub Date : 2023-10-21 DOI: 10.1016/j.cad.2023.103636

J. Hinz , O. Chanon , A. Arrigoni , A. Buffa

{"title":"A Shape Derivative Approach to Domain Simplification","authors":"J. Hinz , O. Chanon , A. Arrigoni , A. Buffa","doi":"10.1016/j.cad.2023.103636","DOIUrl":"https://doi.org/10.1016/j.cad.2023.103636","url":null,"abstract":"<div><p>The objective of this study is to address the difficulty of simplifying the geometric model in which a differential problem is formulated, also called defeaturing, while simultaneously ensuring that the accuracy of the solution is maintained under control. This enables faster and more efficient simulations, without sacrificing accuracy in the regions of interest. More precisely, we consider an isogeometric discretisation of an elliptic model problem defined on a two-dimensional simply connected hierarchical B-spline physical domain with a complex boundary. Starting with an oversimplification of the geometry, we build a goal-oriented adaptive strategy that adaptively reintroduces continuous geometrical features in regions where the analysis suggests a large impact on the quantity of interest. This strategy is driven by an <em>a posteriori</em> estimator of the defeaturing error based on first-order shape sensitivity analysis, and it profits from the local refinement properties of hierarchical B-splines. The adaptive algorithm is described together with a procedure to generate (partially) simplified hierarchical B-spline geometrical domains. Numerical experiments are presented to illustrate the proposed strategy and its limitations.</p></div>","PeriodicalId":50632,"journal":{"name":"Computer-Aided Design","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71768994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fast Reconstruction of Microstructures with Ellipsoidal Inclusions Using Analytical Descriptors 利用解析描述子快速重建椭球夹杂微观结构

IF 4.3 3区计算机科学

Computer-Aided Design Pub Date : 2023-10-20 DOI: 10.1016/j.cad.2023.103635

Paul Seibert , Markus Husert , Maximilian P. Wollner , Karl A. Kalina , Markus Kästner

{"title":"Fast Reconstruction of Microstructures with Ellipsoidal Inclusions Using Analytical Descriptors","authors":"Paul Seibert , Markus Husert , Maximilian P. Wollner , Karl A. Kalina , Markus Kästner","doi":"10.1016/j.cad.2023.103635","DOIUrl":"https://doi.org/10.1016/j.cad.2023.103635","url":null,"abstract":"<div><p>Microstructure reconstruction is an important and emerging aspect of computational materials engineering and multiscale modeling and simulation. Despite extensive research and fast progress in the field, the application of descriptor-based reconstruction remains limited by computational resources. Common methods for increasing the computational feasibility of descriptor-based microstructure reconstruction lie in approximating the microstructure by simple geometrical shapes and by utilizing differentiable descriptors to enable gradient-based optimization. The present work combines these two ideas for structures composed of non-overlapping ellipsoidal inclusions such as magnetorheological elastomers. This requires to express the descriptors as a function of the microstructure parametrization. Deriving these relations leads to analytical solutions that further speed up the reconstruction procedure. Based on these descriptors, microstructure reconstruction is formulated as a multi-stage optimization procedure. The developed algorithm is validated by means of different numerical experiments and advantages and limitations are discussed in detail.</p></div>","PeriodicalId":50632,"journal":{"name":"Computer-Aided Design","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0010448523001677/pdfft?md5=2f1cf9313dca3d0de81488f37ae4a7ec&pid=1-s2.0-S0010448523001677-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92101163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A compact yet flexible design space for large-scale nonperiodic 3D woven composites based on a weighted game for generating candidate tow architectures 一种基于加权博弈的大型非周期三维编织复合材料候选拖曳结构的紧凑而灵活的设计空间

IF 4.3 3区计算机科学

Computer-Aided Design Pub Date : 2023-10-20 DOI: 10.1016/j.cad.2023.103637

Zhen-Pei Wang , Brian N. Cox , Shemuel Joash Kuehsamy , Mark Hyunpong Jhon , Olivier Sudre , N. Sridhar , Gareth J. Conduit

{"title":"A compact yet flexible design space for large-scale nonperiodic 3D woven composites based on a weighted game for generating candidate tow architectures","authors":"Zhen-Pei Wang , Brian N. Cox , Shemuel Joash Kuehsamy , Mark Hyunpong Jhon , Olivier Sudre , N. Sridhar , Gareth J. Conduit","doi":"10.1016/j.cad.2023.103637","DOIUrl":"https://doi.org/10.1016/j.cad.2023.103637","url":null,"abstract":"<div><p>Three-dimensional non-periodic woven composite preforms have sufficient design flexibility that tows can be aligned along principal loading paths even in shaped structural components with detailed local features. While this promises competitive performance, the feasible design space is combinatorially large, far beyond exhaustive search. Seeking a design space that is compact and easily searched yet can span the full potential of 3D weaving, we propose a method for generating candidate designs called the Background Vector Method (BVM) which treats weaving tows as agents in a game competing to match background vectors derived from different design requirements. The BVM generates candidate designs that adapt local architecture to global design goals by adjusting scalar weights. A manufacturing-based parameterization assures fabricability. The scope of possible designs and the speed of the BVM are illustrated by re-creating common periodic 3D weaving patterns and novel complex non-periodic architectures, with a route demonstrated to forming cavities, ducts, and other open volumes. How the BVM might be incorporated within an optimization algorithm is outlined and pathways are shown for systematically enlarging the design space as individual design problems may require.</p></div>","PeriodicalId":50632,"journal":{"name":"Computer-Aided Design","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91999406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Gradient design and fabrication methodology for interleaved self-locking kirigami panels 交错自锁基利米板的梯度设计和制造方法

IF 4.3 3区计算机科学

Computer-Aided Design Pub Date : 2023-10-13 DOI: 10.1016/j.cad.2023.103632

Hao Qiu , Yixiong Feng , Yicong Gao , Zhaoxi Hong , Jianrong Tan

{"title":"Gradient design and fabrication methodology for interleaved self-locking kirigami panels","authors":"Hao Qiu , Yixiong Feng , Yicong Gao , Zhaoxi Hong , Jianrong Tan","doi":"10.1016/j.cad.2023.103632","DOIUrl":"https://doi.org/10.1016/j.cad.2023.103632","url":null,"abstract":"<div><p>Sandwich panels with excellent mechanical properties are widely used in the aerospace, architecture, and automobile industries. Kirigami-inspired structural designs are receiving increasing attention owing to the shape-induced functions and novel properties imparted by their folds and cuts. In this study, novel graded self-locking kirigami panels based on a tucked-interleaved pattern are developed and analyzed under quasi-static loading. The proposed tucked-interleaved pattern can be assembled to form freely supported self-locking polyhedral structures. The self-locking property is ensured by the interleaved flaps, which create in-plane compression to hold the structure in place. In particular, we analyze the effects of geometric variations in kirigami panels fabricated using a CO<sub>2</sub> laser machining system. The experimental data under quasi-static compression and simulation results both indicate that the proposed kirigami panels have outstanding load-to-weight ratios on the order of 10<sup>5</sup>. It appears that the introduction of a graded design can generate graded stiffness as well as superior specific energy absorption with an appropriate introduction of geometric gradients. These results show that the proposed kirigami panels combining self-locking and programmable non-uniform stiffness have great potential for non-uniform engineering applications.</p></div>","PeriodicalId":50632,"journal":{"name":"Computer-Aided Design","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0010448523001641/pdfft?md5=70fa5e265ba9c95a37e880f44d35416f&pid=1-s2.0-S0010448523001641-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91987318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine learning-driven optimization design of hydrogel-based negative hydration expansion metamaterials 基于机器学习的水凝胶负水化膨胀超材料优化设计

IF 4.3 3区计算机科学

Computer-Aided Design Pub Date : 2023-10-11 DOI: 10.1016/j.cad.2023.103631

Yisong Qiu, Hongfei Ye, Hongwu Zhang, Yonggang Zheng

{"title":"Machine learning-driven optimization design of hydrogel-based negative hydration expansion metamaterials","authors":"Yisong Qiu, Hongfei Ye, Hongwu Zhang, Yonggang Zheng","doi":"10.1016/j.cad.2023.103631","DOIUrl":"https://doi.org/10.1016/j.cad.2023.103631","url":null,"abstract":"<div><p>Hydrogel-based negative hydration expansion (NHE) metamaterials are composite structures composed of responsive hydrogels and polymers, and their properties depend on their unique structures. In this paper, an optimization method based on the combination of the back-propagation neural network (BPNN) and the multi-population genetic algorithm (MPGA) is developed to rapidly design isotropic and anisotropic hydrogel-based metamaterials with specific NHE effects. In this method, several dimensionless design parameters are introduced to describe the structural characteristics of the metamaterial. The initial dataset is constructed based on the finite element method simulation results, and the mapping relationship between the design parameters and the equivalent linear strain is constructed by the BPNN, and the metamaterial with specific effect is efficiently optimized by combining the MPGA. The method is proved to have high accuracy and efficiency, and is applied to design many novel 2D and 3D metamaterials. The 3D metamaterial designed by this method has an ultra-large NHE ratio about 82 %. Compared with the topology optimization method, this method can significantly reduce the amount of computation, and can effectively avoid falling into the local optimum. The results show that the optimization method based on machine learning is an efficient means to design hydrogel-based metamaterials.</p></div>","PeriodicalId":50632,"journal":{"name":"Computer-Aided Design","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S001044852300163X/pdfft?md5=f22de6c63d7148c72cfbfaf0f89db584&pid=1-s2.0-S001044852300163X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92061976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0