📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Machine learning to determine the main factors affecting creep rates in laser powder bed fusion. (2021)

First Author: Sanchez S

Attributed to: Modelling Creep and Creep Crack Growth of LPBF alloy 718 funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/s10845-021-01785-0

PubMed Identifier: 34720456

Publication URI: http://europepmc.org/abstract/MED/34720456

Type: Journal Article/Review

Volume: 32

Parent Publication: Journal of intelligent manufacturing

Issue: 8

ISSN: 0956-5515