图形学 | CCF分类 | SCI期刊专刊信息2条

摘要截稿: 2021-02-01

全文截稿: 2021-02-08

影响因子: 1.421

CCF分类: B类

中科院JCR分区:

• 大类 : 工程技术 - 4区

• 小类 : 计算机：软件工程 - 4区

• 小类 : 应用数学 - 3区

网址: http://www.journals.elsevier.com/computer-aided-geometric-design

The organizers of SIAM-GD 2021 invite submissions of full-length papers on topics including, but not limited to:

3D printing and other manufacturing technologies

Algebraic, differential, and discrete geometry

Computational geometry and topology

Computer aided geometric design

Curves and surfaces

Geometric design in science, engineering, and new materials

Industrial applications of geometric design

(Deep) Learning for geometric design

Mesh generation

Numerical analysis of geometric algorithms

Reverse engineering and reconstruction of shapes

Robotics and automation

Shape analysis, modelling, and optimization

Simulation and (isogeometric) analysis

Topological modelling

User interfaces for geometric modelling

全文截稿: 2021-02-15

影响因子: 1.302

CCF分类: C类

中科院JCR分区:

• 大类 : 工程技术 - 4区

• 小类 : 计算机：软件工程 - 4区

网址: http://www.journals.elsevier.com/computers-and-graphics

The emerging techniques such as Additive Manufacturing (AM), Computer Numerical Control (CNC), Robotics, Artificial Intelligence (AI), Simulation, and Virtual/Augmented Reality, provide new affordances to the digital fabrication by enabling higher efficiency and the level of automation, more geometric complexity of the products, more flexibility of customization, and more accessibility to the humans. These new capabilities have driven the evolution of computational tools in the design stage to support geometric modeling, analysis, simulation, and optimization. In the fabrication stage, the computational methods are needed for the tool path planning, and simulation and optimization of the processes. The new computational tools are also expected to facilitate capabilities of the new techniques, and meanwhile take the constraints of the fabrication processes into account. Another challenge has been raised because of the substantially increased complexity of the fabrication systems - how would human engineers be better connected to these machines? Moreover, motivated by the “Maker Movement” and “DIY” culture, the end-users who used to just be consumers, tend to express their creativity by designing and fabricating customized products by themselves. Therefore, new human-computer/machine/robot techniques are expected to support both the engineers and end-users. The goal of this special issue is to prompt the advancement of computational methods around the emerging fabrication techniques by providing a venue for researchers and practitioners to disseminate their latest research results and findings. Specific topics of interest include, but are not limited to: