CALL FOR PAPERS
Special issue of Computer-Aided Design
on
Advances in Generative Design
Guest editors:
Jun Wu, j.wu-1@tudelft.nl Delft University of Technology, Delft, The Netherlands
Xiaoping Qian, qian@engr.wisc.edu University of Wisconsin-Madison, Wisconsin, USA
Michael Yu Wang, mywang@ust.hk Hong Kong University of Science and Technology, Hong Kong
Recent advances in manufacturing and material science enable the fabrication of complex digital geometric models that are difficult or impossible to produce by using conventional manufacturing technologies. The unprecedented manufacturing flexibility offers opportunities and challenges for computer-aided design of such digital models. Even for the most experienced designers, their intuition might be limited when manually exploring such unprecedented large design space. To empower designers, computer algorithms are being developed to generate desired designs under given design objectives and constraints. Such an algorithm-driven design process is now known as generative design. Example approaches range from shape and topology optimization to shape grammar based design, and to machine learning based designs, among others. The flexibilities in generative design and additive manufacturing are increasingly being combined to produce disruptive high-performance functional structures and digital materials with applications in aerospace, automotive, medical implants, soft robots, customized consumer products, and beyond. This vibrant research area is receiving growing attention in multiple disciplines, such as geometric modelling, graphics, numerical optimization, and computational mechanics.
The goal of this special issue is to bring together researchers from relevant fields into a common forum, to share cutting-edge research on generative design, and to push forward new design methods for advanced manufacturing. The joint efforts will accelerate the transition of generative design from the stage of conceptual design to final design, and the movement of additive manufacturing from prototyping to industrial production. The main topics include, but are not limited to the following:
- – Shape and topology optimization
- – Design through machine learning
- – Big-data driven designs
- – Genetic algorithms based design
- – Design through shape grammars
- – Generative design of digital material
- – Generative design of lattice and cellular structures
- – Generative design under manufacturability constraints
- – Generative design considering multi-physics
- – Shape modelling and analysis for generative design
- – Innovative applications of generative design
Important dates:
Manuscript submission deadline: June 30th, 2018
First round notification: September 15th, 2018
Final revisions due: November 1st, 2018
Final paper acceptance decision: December 1st, 2018
Online publication date: January, 2019
Submission instructions:
All prospective authors are encouraged to obtain an early feedback on possible submissions by e-mailing an abstract to the Guest Editors. All papers will be rigorously refereed by peer reviewers of the Journal. Submission of a manuscript to this issue of CAD implies that no similar paper is already accepted, or will be submitted to any other conference or journal. For information about preparation of their manuscripts, authors should consult the “Instructions for Authors“, which are available online (link: https://www.elsevier.com/journals/computer-aided-design/0010-4485/guide-for-authors) and printed at the back of most issues of Computer-Aided Design. Papers of an appropriate standard not included in the special issue may be considered for publication in a regular issue of Computer-Aided Design.
Submissions should be sent online through Evise (link: https://www.evise.com/evise/faces/pages/homepage/homepage.jspx?_adf.ctrl-state=ewgi77grl_4). Authors should select the acronym ” VSI: Generative Design” as the article type, from the “Choose Article Type” pull-down menu during the submission process.