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Computer-Aided Design

  • ISSN: 0010-4485

Editor-In-Chief: Shapiro

Next planned ship date: March 27, 2024

  • 5 Year impact factor: 4.1
  • Impact factor: 4.3

Computer-Aided Design is a leading international journal that provides academia and industry with key papers on research and developments in computational foundations and methods… Read more

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Next planned ship date:
March 27, 2024

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Computer-Aided Design is a leading international journal that provides academia and industry with key papers on research and developments in computational foundations and methods of design. The term "design" is to be understood broadly to encompass conceptualization, synthesis, realization, and evolution of artifacts, processes, and systems (both natural and artificial).

Computer-Aided Design invites papers reporting new research, as well as novel or particularly significant applications, within a wide range of topics, spanning all stages of design from concept creation to manufacture and beyond. Contributions are welcome from all disciplines and application areas, provided that they have a significant geometric, topological, spatial, or configuration design content, and present developments likely to be of interest to a broad spectrum of researchers, educators, and practitioners of computer-aided design. In this context, examples of relevant topics include but are not limited to:

Foundational theories, frameworks, methodologies, and standards

Mathematical models, representations, and algorithms for shapes, solids, structures, and assemblies

Material, behavior, and physical modeling

Conceptual design and invention

Uncertainty and imprecision in computer-aided design

Multi-scale modeling and design of shape and material structures

System level design and model-based systems engineering

Programmable subtractive, additive, and hybrid manufacturing

Generative design, shape, topology, and material optimization

Computational planning, fabrication, and inspection

Discretization and meshing algorithms

Data acquisition, model recognition and reconstruction

Representation conversions and interoperability

Applications of AI in design, including neural networks and machine learning

Design ontologies, grammars, languages, and semantics

Data driven modeling and synthesis

Advanced support of manufacturing and downstream activities

Technologies in support of digital factory and digital twin concepts

User interfaces, system interfaces, and human-computer interaction

Design databases, knowledge repositories, object libraries and retrieval

Specific applications and significant benchmarks of computer-aided design



Types of Papers:

Research papers: report significant research and development results, describe the relevant theoretical foundations and methodology, and present workable algorithms and give examples taken from real world applications, stressing the significance of the approach being presented.

Application papers: describe complex and pioneering applications of CAD concepts, methods and tools in practice, present significant results that extend the disciplinary knowledge and/or analyze the application in a way that is likely to stimulate and influence further research.

Survey papers: critically analyze the current state of knowledge in a given field of CAD, summarize and organize recent research results in a novel way, derive new insights and deepen understanding of those working in the field, and propose possible topics, orientations and approaches for future research and development.

Technical notes: respond to material published in the journal or closely related topics, repair a flaw in the definition and approach or stimulate further thinking, or provide additional technical details on a CAD theory, technology, methodology, product or application.

Dataset papers: discuss creation, documentation, and critical assessment of data sets, repositories, and their uses supporting research and practice in all areas of computer-aided design. An algorithmic contribution is not required for a dataset paper, but the dataset itself must be made freely usable and accessible for research purposes. Dataset papers will go through the same rigorous review process and will be evaluated based on their novelty, impact, and presentation. Accessibility, privacy, and ethics are also important issues that will be considered by the reviewers and editors.