Machine Learning HPDC datasets

Published: 20 June 2025| Version 1 | DOI: 10.17632/p3njy3ybgp.1
Contributor:
Yunxuan Zhou

Description

This dataset contains 1 000 industrial heats of high-pressure die-cast (HPDC) Al-Si-based alloys, compiled to support the accompanying CALPHAD-oriented manuscript on machine-learning-driven optimisation of hardness (HB) and electrical conductivity (%IACS). Each record couples the melt chemistry, key thermodynamic descriptors and measured properties, enabling supervised learning, feature-importance analysis and inverse alloy design.

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Institutions

  • Anhui Polytechnic University

Categories

Aluminum Alloys, Machine Learning

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