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Machine Learning Pipeline for Predictive Maintenance in Polymer 3D Printing

Year: 2023

Type: article

Abstract: 341

Source: Procedia CIRP

DOI: 10.1016/j.procir.2023.03.058

Authors: Henrik Heymann, Robert H. Schmitt

Language: English

Topic: Additive Manufacturing and 3D Printing Technologies

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

Funders: Max-Buchner-Forschungsstiftung, Bundesministerium für Bildung und Forschung, Bundesministerium für Bildung, Wissenschaft, Forschung und Technologie

Award: G1348866699

OpenAlex ID: W4367728522

FWCI: 1.519

Cites: 22

Cited by: 21

Related to: 10