foundry-ml/steel_strength_v1-1

Mechanical properties of some steels

Dataset containing compositions and mechanical properties (yield strength, tensile strength, elongation) of 312 steel alloys

Dataset Information

• Source: Foundry-ML
• DOI: 10.18126/524z-vd6m
• Year: 2022
• Authors: Conduit, Gareth
• Data Type: tabular

Fields

Field	Role	Description	Units
formula	input	Steel composition
c	input	C weight percent	wt %
mn	input	Mn weight percent	wt %
si	input	Si weight percent	wt %
cr	input	Cr weight percent	wt %
ni	input	Ni weight percent	wt %
mo	input	Mo weight percent	wt %
v	input	V weight percent	wt %
n	input	N weight percent	wt %
nb	input	Nb weight percent	wt %
co	input	Co weight percent	wt %
w	input	W weight percent	wt %
al	input	Al weight percent	wt %
ti	input	Ti weight percent	wt %
yield strength	target	yield strength in MPa	MPa
tensile strength	target	tensile strength in MPa	MPa
elongation	target	elongation at fracture	%
cr_amount	input	categorization of Cr amount

Splits

• train: train

Usage

With Foundry-ML (recommended for materials science workflows)

from foundry import Foundry

f = Foundry()
dataset = f.get_dataset("10.18126/524z-vd6m")
X, y = dataset.get_as_dict()['train']

With HuggingFace Datasets

from datasets import load_dataset

dataset = load_dataset("steel_strength_v1.1")

Citation

@misc{https://doi.org/10.18126/524z-vd6m
doi = {10.18126/524z-vd6m}
url = {https://doi.org/10.18126/524z-vd6m}
author = {Conduit, Gareth}
title = {Mechanical properties of some steels}
keywords = {machine learning, foundry}
publisher = {Materials Data Facility}
year = {root=2022}}

License

CC-BY 4.0

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This dataset was exported from Foundry-ML, a platform for materials science datasets.