Creep deformation and failure properties of 316 L stainless steel manufactured by laser powder bed fusion under multiaxial loading conditions

RJ Williams, J Al-Lami, PA Hooper, MS Pham… - Additive …, 2021 - Elsevier
Abstract 316 L stainless steel has long been used in high temperature applications. As a
well-established laser powder bed fusion (LPBF) alloy, there are opportunities to utilise …

Machine learning to determine the main factors affecting creep rates in laser powder bed fusion

S Sanchez, D Rengasamy, CJ Hyde… - Journal of Intelligent …, 2021 - Springer
There is an increasing need for the use of additive manufacturing (AM) to produce improved
critical application engineering components. However, the materials manufactured using AM …

Embedding and Extracting Domain Knowledge in Machine Learning for Condition-based Maintenance

D Rengasamy - eprints.nottingham.ac.uk
As sensors become ubiquitous in condition-based maintenance (CBM) for the aerospace
sector, there is a significant increase in data available to diagnose and prognose aerospace …

Machine learning to determine the main factors affecting creep rates in laser powder bed fusion

S Sanchez, D Rengasamy… - Journal of …, 2021 - nottingham-repository.worktribe.com
There is an increasing need for the use of additive manufacturing (AM) to produce improved
critical application engineering components. However, the materials manufactured using AM …

[PDF][PDF] Creep deformation and failure properties of 316L stainless steel manufactured by laser powder bed fusion under multiaxial loading conditions

RJ Williamsa, J Al-Lamib, PA Hoopera, MS Phamb… - researchgate.net
Abstract 316L stainless steel has long been used in high temperature applications. As a
wellestablished laser powder bed fusion (LPBF) alloy, there are opportunities to utilise …