Código QR (código de barras bidimensional)

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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Principais autores: Johannes G. Hoffer, Bernhard C. Geiger, Roman Kern
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-01-01
Serier:Applied Sciences
Fag:
GP regression
FEM
surrogate modeling
multi-objective optimization
hot metal forming
Inconel 625
Online adgang:https://www.mdpi.com/2076-3417/12/3/1089
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