TY - JOUR
T1 - A grammar-based algorithm for toolpath generation
T2 - Compensating for material deformation in the additive manufacturing of concrete
AU - Ashrafi, Negar
AU - Nazarian, Shadi
AU - Meisel, Nicholas Alexander
AU - Pinto Duarte, Jose M.
N1 - Funding Information:
This research was financially sponsored by The Raymond A. Bowers Program for Excellence in Design and Construction of the Built Environment, The Pennsylvania State University, Autodesk, Inc. ®, Golf Concrete Technology (GCT), and NASA . The authors express their gratitude to Dr. Sven Bilén, Dr. Ali Memari, Dr. Aleksandra Radlińska, Mr. Nathan Watson, and Mr. Gonçalo Duarte for their valuable insights and contributions to this research.
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/7
Y1 - 2022/7
N2 - In architecture, AM technologies have been used for rapid prototyping since the early 1990s. However, using AM for automated building construction represent a revolution for the industry that requires modeling the complex relationships between materials, printing system, and designs. An important aspect of research in this area is the deformation of concrete during printing and how it affects shape accuracy and structural stability of the printed geometries. A previous experimental study proposed a series of equations to predict material deformation for a specific concrete mix. This study incorporates these equations in a shape grammar-based algorithm to decompose complex geometries into simpler ones, slice the simpler geometries, and generate compensated toolpaths. The algorithm was implemented in Grasshopper, a Rhino plugin, and it can be used as a 3D slicer specifically for 3D printing concrete purposes. The slicer is validated with two printing experiments, involving a simple and a complex shape. The algorithm can be extended to other material mixes by developing similar experimental studies and incorporating the resulting equations.
AB - In architecture, AM technologies have been used for rapid prototyping since the early 1990s. However, using AM for automated building construction represent a revolution for the industry that requires modeling the complex relationships between materials, printing system, and designs. An important aspect of research in this area is the deformation of concrete during printing and how it affects shape accuracy and structural stability of the printed geometries. A previous experimental study proposed a series of equations to predict material deformation for a specific concrete mix. This study incorporates these equations in a shape grammar-based algorithm to decompose complex geometries into simpler ones, slice the simpler geometries, and generate compensated toolpaths. The algorithm was implemented in Grasshopper, a Rhino plugin, and it can be used as a 3D slicer specifically for 3D printing concrete purposes. The slicer is validated with two printing experiments, involving a simple and a complex shape. The algorithm can be extended to other material mixes by developing similar experimental studies and incorporating the resulting equations.
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U2 - 10.1016/j.addma.2022.102803
DO - 10.1016/j.addma.2022.102803
M3 - Article
AN - SCOPUS:85128511397
SN - 2214-8604
VL - 55
JO - Additive Manufacturing
JF - Additive Manufacturing
M1 - 102803
ER -