Review of Shape Deviation Modeling for Additive Manufacturing

Zuowei Zhu (1) , Safa Keimasi (1) , Nabil Anwer (1) , Luc Mathieu (1) , Lihong Qiao (2)

1 LURPA - Laboratoire Universitaire de Recherche en Production Automatisée
2 BUAA - Beihang University

Additive Manufacturing (AM) is becoming a promising technology capable of building complex customized parts with internal geometries and graded material by stacking up thin individual layers. However, a comprehensive geometric model for Additive Manufacturing is not mature yet. Dimensional and form accuracy and surface finish are still a bottleneck for AM regarding quality control. In this paper, an up-to-date review is drawn on methods and approaches that have been developed to model and predict shape deviations in AM and to improve geometric quality of AM processes. A number of concluding remarks are made and the Skin Model Shapes Paradigm is introduced to be a promising framework for integration of shape deviations in product development, and the digital thread in AM.

Mots clés: Additive manufacturing; Geometric deviation; Skin model shapes; Geometric modeling

Domaines: Automatique / Robotique; Informatique [cs]; Génie des procédés; Mathématiques [math]

Zuowei Zhu, Safa Keimasi, Nabil Anwer, Luc Mathieu, Lihong Qiao. Review of Shape Deviation Modeling for Additive Manufacturing. International Joint Conference on Mechanics, Design Engineering & Advanced Manufacturing (JCM 2016), Sep 2016, Catane, Italy. pp.241-205, ⟨10.1007/978-3-319-45781-9_25⟩. ⟨hal-01363769⟩