Gaussian Process Surrogates for Modeling Uncertainties in a Use Case of Forging Superalloys

The avoidance of scrap and the adherence to tolerances is an important goal in manufacturing. This requires a good engineering understanding of the underlying process. To achieve this, real physical experiments can be conducted. However, they are expensive in time and resources, and can slow down pr...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Johannes G. Hoffer, Bernhard C. Geiger, Roman Kern
Format:	Article
Language:	English
Published:	MDPI AG 2022-01-01
Subjects:	GP regression FEM surrogate modeling multi-objective optimization hot metal forming Inconel 625
Online Access:	https://www.mdpi.com/2076-3417/12/3/1089