Polymer AM schema diagram
Polymer AM schema diagram
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In Polymer Additive Manufacturing (AM) JSON-LD template, the sample information (sample id) is related to printing parameters to produce the part, the build geometry of the part, material properties of the part and the characterization techniques (in-situ and ex-situ) performed on the part.
More detailed structure is shown in the schema diagram below.
library(FAIRmaterials)
# An example data frame for polymer AM
polymerAM_data <- data.frame(
'sampleID' = c('sa12345', 'sa24682'),
'printMethod' = c('FDM', 'FDM'),
'manufacturer' = c('A', 'B'),
'material' = c('ABS', 'PLA'),
'surfaceRoughness' = c(10, 5),
'flowRate' = c(8, 12)
)
# This will generate json-ld files for the example data.
polymer_output <- fairify_data(polymerAM_data, domain = 'PolymerAM', saveLocal = TRUE)from fairmaterials.fairify_data import *
import pandas as pd
# Create an example data frame for Polymer AM
data = pd.DataFrame(
'sampleID' = ['sa12345', 'sa24682'],
'printMethod' = ['FDM', 'FDM'],
'manufacturer' = ['A', 'B'],
'material' = ['ABS', 'PLA'],
'surfaceRoughness' = [10, 5],
'flowRate' = c[8, 12]
)
# This will generate JSON-LD file for the example data
output <- fairify_data(data, domain = 'PolymerAM')Polymer AM schema diagram
This material is based upon work supported by the Department of Energy (National Nuclear Security Administration) under Award Number(s) DE-NA0004104.
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