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:
Modeling, analysis, simulation and optimization for design.
Generative design and topology optimization.
Machine learning and data-driven methods for design and fabrication processes.
Computational material design, simulation and optimization.
Process planning and simulation of processes.
Spatial planning and manufacturability analysis
Human-computer/machine/robot interaction or collaboration
VR/AR based design and manufacturing
Dr. Yunbo Zhang, Rochester Institute of Technology [email protected]
Dr. Emily Whiting, Boston University [email protected]
Dr. Cynthia Sung, University of Pennsylvania [email protected]
Dr. Charlie C.L. Wang, The University of Manchester [email protected]
Submission Deadline: Fabruary 15, 2021
Acceptance Notification: March 15, 2021
Except Publication: July 1, 2021