Machine learning assisted prediction and optimization of mechanical properties for laser powder bed fusion of Ti6Al4V alloy
Due to the complex physical metallurgy phenomena and enormous parameter combination,
the traditional trial-and-error method makes the microstructure tailoring of laser additive …
the traditional trial-and-error method makes the microstructure tailoring of laser additive …
Data-driven design of novel lightweight refractory high-entropy alloys with superb hardness and corrosion resistance
Lightweight refractory high-entropy alloys (LW-RHEAs) hold significant potential in the fields
of aviation, aerospace, and nuclear energy due to their low density, high strength, high …
of aviation, aerospace, and nuclear energy due to their low density, high strength, high …
Lattice-inspired NiTi-based metamaterials with widely tunable mechanical-superelastic synergy
Inspired by austenite and martensite crystal lattices in the NiTi microstructure with versatile
performances, the bionic microlattice metamaterials with strut diameter from 0.4∼ 0.8 mm …
performances, the bionic microlattice metamaterials with strut diameter from 0.4∼ 0.8 mm …
[HTML][HTML] Compositional design of compounds with elements not in training data using supervised learning
An issue of current interest in the use of machine learning models to predict compositions of
materials is their reliability in predicting outcomes with elements not included in the training …
materials is their reliability in predicting outcomes with elements not included in the training …
[HTML][HTML] Effects of Cu content and Sintering temperature on microstructure and mechanical properties of SiCp/Al-Cu-Mg composites through experimental study …
W Yang, Y Wang, X Huang, S Liu, P Wang… - Journal of Materials …, 2024 - Elsevier
SiC p/Al composite materials are widely used due to their lightweight and high strength.
There is no systematic study on the effect of variation of Cu content on the mechanical …
There is no systematic study on the effect of variation of Cu content on the mechanical …
Multi-objective performance prediction based on a self-constructed Al-Si alloy dataset
D Hu, Y Liu, T Shen - 2023 11th International Conference on …, 2023 - ieeexplore.ieee.org
The combination of data-driven approaches and machine learning techniques has changed
the design approach for new materials, propelling materials science research into the realm …
the design approach for new materials, propelling materials science research into the realm …
[PDF][PDF] 机器学**驱动难熔高熵合金 设计的现状与展望.
高田创, 高建宝, **谦, 张利军 - Journal of Materials Engineering …, 2024 - researchgate.net
难熔高熵合金兼具高**度, 高硬度, 抗高温氧化等优异综合性能, 在航空, 航天,
核能等领域具有广阔的应用前景和研究价值. 但难熔高熵合金成分复杂, 设计难度高 …
核能等领域具有广阔的应用前景和研究价值. 但难熔高熵合金成分复杂, 设计难度高 …
[PDF][PDF] 机器学**在金属增材制造技术中的研究进展
操宇恒, 陈超越, 郭铠, 胡涛, 徐松哲, 王江… - 特种铸造及有色 …, 2024 - special-cast.com
摘要增材制造广泛应用于医疗和航空航天等领域, 但仍面临材料种类受限,
零件质量和性能不稳定, 以及工艺参数与力学性能间的复杂关系等挑战. 作为人工智能的关键 …
零件质量和性能不稳定, 以及工艺参数与力学性能间的复杂关系等挑战. 作为人工智能的关键 …
Progress in Application of Machine Learning in Additive Manufacturing Technology
CAO Yuheng, C Chaoyue, GUO Kai, H Tao… - Special Casting & … - special-cast.com
Additive manufacturing is widely used in medicine and aerospace fields. However, it still
faces challenges such as limited material types, unstable part quality and mechanical …
faces challenges such as limited material types, unstable part quality and mechanical …