Parametric numerical solutions of additive manufacturing processes

Quaranta, G. ; Haug, E. ; Duval, J.L. ; Cueto, E. (Universidad de Zaragoza) ; Chinesta, F.

Resumen: Additive manufacturing is the more and more considered in industry, however efficient simulation tools able to perform accurate predictions are still quite limited. The main difficulties for an efficient simulation are related to the multiple scales, the multiple and complex physics involved, as well as the strong dependency on the process trajectory. In [21] authors proposed the use of advanced model reduction techniques for performing parametric simulations of additive manufacturing processes, where deposition trajectory, the intensity of the thermal shrinkage and the deposited layers were considered as model parameters. The resulting simulation tool allowed evaluating in real-time the impact of the parameters just referred on the part distortion, and proceed to the required geometrical compensation. In the present work we address the use of that parametric solution with three different purposes: (i) evaluating the parameters leading to the minimal part distortion; (ii) evaluating the solution sensitivity to the different parameters, and in particular to the ones related to the deposition trajectory; and (iii) propagating the uncertainty related to the intensity of the thermal shrinkage.

Idioma: Inglés

DOI: 10.1063/1.5112640

Año: 2019

Publicado en: AIP Conference Proceedings 2113, 1 (2019), 100007 [6 pp]
ISSN: 0094-243X

Factor impacto SCIMAGO: 0.19 - Physics and Astronomy (miscellaneous)

Tipo y forma: Article (Published version)

Área (Departamento): Área Mec.Med.Cont. y Teor.Est. (Dpto. Ingeniería Mecánica)