[HTML][HTML] Research and application of machine learning for additive manufacturing

J Qin, F Hu, Y Liu, P Witherell, CCL Wang… - Additive …, 2022 - Elsevier
Additive manufacturing (AM) is poised to bring a revolution due to its unique production
paradigm. It offers the prospect of mass customization, flexible production, on-demand and …

Role of porosity defects in metal 3D printing: Formation mechanisms, impacts on properties and mitigation strategies

S Wang, J Ning, L Zhu, Z Yang, W Yan, Y Dun, P Xue… - Materials Today, 2022 - Elsevier
Abstract Metal 3D printing (3DP), a state-of-the-art manufacturing technology that brings the
potential to fabricate complex structures at low cost and reduced energy consumption, has …

Material-structure-performance integrated laser-metal additive manufacturing

D Gu, X Shi, R Poprawe, DL Bourell, R Setchi, J Zhu - Science, 2021 - science.org
BACKGROUND Metallic components are the cornerstone of modern industries such as
aviation, aerospace, automobile manufacturing, and energy production. The stringent …

Defects in additive manufactured metals and their effect on fatigue performance: A state-of-the-art review

N Sanaei, A Fatemi - Progress in Materials Science, 2021 - Elsevier
Additive manufacturing (AM) is emerging as an alternative to conventional subtractive
manufacturing methods with the goal to deliver unique and complex net or near-net shaped …

Keyhole fluctuation and pore formation mechanisms during laser powder bed fusion additive manufacturing

Y Huang, TG Fleming, SJ Clark, S Marussi… - Nature …, 2022 - nature.com
Keyhole porosity is a key concern in laser powder-bed fusion (LPBF), potentially impacting
component fatigue life. However, some keyhole porosity formation mechanisms, eg, keyhole …

Additive manufacturing of metallic components–process, structure and properties

T DebRoy, HL Wei, JS Zuback, T Mukherjee… - Progress in materials …, 2018 - Elsevier
Since its inception, significant progress has been made in understanding additive
manufacturing (AM) processes and the structure and properties of the fabricated metallic …

Role of metal 3D printing to increase quality and resource-efficiency in the construction sector

A Kanyilmaz, AG Demir, M Chierici, F Berto… - Additive …, 2022 - Elsevier
Demand for the construction of new structures is increasing all over the world. Since the
construction sector dominates the global carbon footprint, new construction methods are …

Machine learning‐driven biomaterials evolution

A Suwardi, FK Wang, K Xue, MY Han, P Teo… - Advanced …, 2022 - Wiley Online Library
Biomaterials is an exciting and dynamic field, which uses a collection of diverse materials to
achieve desired biological responses. While there is constant evolution and innovation in …

A review of the application of machine learning and data mining approaches in continuum materials mechanics

FE Bock, RC Aydin, CJ Cyron, N Huber… - Frontiers in …, 2019 - frontiersin.org
Machine learning tools represent key enablers for empowering material scientists and
engineers to accelerate the development of novel materials, processes and techniques. One …

From topology optimization design to additive manufacturing: Today's success and tomorrow's roadmap

L Meng, W Zhang, D Quan, G Shi, L Tang… - … Methods in Engineering, 2020 - Springer
This work grew out of rapid developments of topology optimization approaches and
emerging industry trends of “3D printing” techniques, the latter bridging to a large extent the …