TY - JOUR
T1 - Evaluating the relationship between deposition and layer quality in large-scale additive manufacturing of concrete
AU - Ashrafi, Negar
AU - Duarte, Jose Pinto
AU - Nazarian, Shadi
AU - Meisel, Nicholas A.
N1 - Funding Information:
This work was supported by grants from the Raymond A. Bowers Program for Excellence in Design and Construction of the Built Environment, Penn State, and Autodesk, Inc.
Publisher Copyright:
© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019/4/3
Y1 - 2019/4/3
N2 - Scaling up additive manufacturing (AM) for automated building construction requires expertise from different fields of knowledge, including architecture, material science, engineering, and manufacturing to develop processes that work for practical applications. While concrete is a viable candidate for printing due to its common use in building, it raises important challenges in deposition due to the material deformation that occurs as concrete transitions from fresh to hardened states. This study aims to experimentally quantify the deformation of printed concrete layers under the influence of different processing variables, including layer thickness, printing orientation, and direction. A mixer-pump extrudes the material and an industrial 6-axis robotic arm, which provides various ranges of movement in different axes, layers the material. The results of this study can be used to develop a tool for predicting and accounting for the deformation of concrete layers during the AM process.
AB - Scaling up additive manufacturing (AM) for automated building construction requires expertise from different fields of knowledge, including architecture, material science, engineering, and manufacturing to develop processes that work for practical applications. While concrete is a viable candidate for printing due to its common use in building, it raises important challenges in deposition due to the material deformation that occurs as concrete transitions from fresh to hardened states. This study aims to experimentally quantify the deformation of printed concrete layers under the influence of different processing variables, including layer thickness, printing orientation, and direction. A mixer-pump extrudes the material and an industrial 6-axis robotic arm, which provides various ranges of movement in different axes, layers the material. The results of this study can be used to develop a tool for predicting and accounting for the deformation of concrete layers during the AM process.
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U2 - 10.1080/17452759.2018.1532800
DO - 10.1080/17452759.2018.1532800
M3 - Article
AN - SCOPUS:85055106438
SN - 1745-2759
VL - 14
SP - 135
EP - 140
JO - Virtual and Physical Prototyping
JF - Virtual and Physical Prototyping
IS - 2
ER -