📣 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.

In-situ porosity prediction in metal powder bed fusion additive manufacturing using spectral emissions: a prior-guided machine learning approach (2023)

First Author: Atwya M

Attributed to: MAPP: EPSRC Future Manufacturing Hub in Manufacture using Advanced Powder Processes funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/s10845-023-02170-9

Publication URI: http://dx.doi.org/10.1007/s10845-023-02170-9

Type: Journal Article/Review

Parent Publication: Journal of Intelligent Manufacturing

Issue: 6