TY - JOUR
T1 - Design and manufacturability data on additively manufactured solutions for COVID-19
AU - Prabhu, Rohan
AU - Masia, Jordan S.
AU - Berthel, Joseph T.
AU - Meisel, Nicholas A.
AU - Simpson, Timothy W.
N1 - Funding Information:
This research was sponsored in part by the National Science Foundation Grant No. CMMI-1712234. Any opinions, findings, and conclusions expressed in this paper are those of the authors and do not necessarily reflect the views of the NSF. We would like to thank Joseph Goodpaster for his help in evaluating the designs.
Publisher Copyright:
© 2021
PY - 2021/6
Y1 - 2021/6
N2 - Designers around the world have leveraged the rapid prototyping and manufacturing capabilities of additive manufacturing (AM), commonly known as 3D printing, to develop numerous engineering design solutions for the COVID-19 pandemic. This dataset consists of the design and manufacturability data for twenty-six such engineering design solutions spanning three categories: (1) face masks (N = 12), (2) face shields (N = 6), and (3) hands-free door openers (N = 8). The designs were collected from open-source websites such as Thingiverse, GrabCAD, and the NIH 3D Print Exchange. The manufacturability of these designs was simulated using Ultimaker Cura software and three measures were obtained: (1) build time, (2) build cost, and (3) build material. Furthermore, these simulations were performed for multiple materials and infill densities for comparison. Additionally, the manufacturing cost using injection molding was simulated using the Cost Estimation Tool in Solidworks. This dataset comprises (1) the STL files for the designs, (2) the simulated manufacturability data (for additive manufacturing and injection molding), and (3) images that depict the build orientation used in these manufacturability simulations. This dataset can facilitate the development of future innovations that leverage the capabilities of AM processes. Furthermore, this dataset can be used by designers and manufacturers to compare solutions and choose appropriate ones for manufacturing.
AB - Designers around the world have leveraged the rapid prototyping and manufacturing capabilities of additive manufacturing (AM), commonly known as 3D printing, to develop numerous engineering design solutions for the COVID-19 pandemic. This dataset consists of the design and manufacturability data for twenty-six such engineering design solutions spanning three categories: (1) face masks (N = 12), (2) face shields (N = 6), and (3) hands-free door openers (N = 8). The designs were collected from open-source websites such as Thingiverse, GrabCAD, and the NIH 3D Print Exchange. The manufacturability of these designs was simulated using Ultimaker Cura software and three measures were obtained: (1) build time, (2) build cost, and (3) build material. Furthermore, these simulations were performed for multiple materials and infill densities for comparison. Additionally, the manufacturing cost using injection molding was simulated using the Cost Estimation Tool in Solidworks. This dataset comprises (1) the STL files for the designs, (2) the simulated manufacturability data (for additive manufacturing and injection molding), and (3) images that depict the build orientation used in these manufacturability simulations. This dataset can facilitate the development of future innovations that leverage the capabilities of AM processes. Furthermore, this dataset can be used by designers and manufacturers to compare solutions and choose appropriate ones for manufacturing.
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U2 - 10.1016/j.dib.2021.107012
DO - 10.1016/j.dib.2021.107012
M3 - Article
C2 - 33898670
AN - SCOPUS:85103705181
SN - 2352-3409
VL - 36
JO - Data in Brief
JF - Data in Brief
M1 - 107012
ER -