A method for design for additive manufacturing rules formulation through Spatio-temporal process discretization

• Published in: Procedia CIRP Vol. 109; pp. 484 - 489
• Main Authors: Douin, Chloé, Gruhier, Elise, Kromer, Robin, Christmann, Olivier, Perry, Nicolas
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 2022; ELSEVIER
• Series: 32nd CIRP Design Conference (CIRP Design 2022) - Design in a changing world
• Subjects: Additive Manufacturing; Design for Additive Manufacturing; Design guidelines; Detailed design; Engineering Sciences; Mechanical engineering; Mechanics; Mereotopology; Detailed design; Design for Additive Manufacturing; Additive Manufacturing; Design guidelines; Mereotopology
• ISSN: 2212-8271; 2212-8271
• DOI: 10.1016/j.procir.2022.05.282

Additive Manufacturing (AM) has many advantages, but the lack of access to the knowledge associated with it minimises its development in industry. The design phase is crucial for the success of AM, a challenge for Design for Additive Manufacturing (DfAM) methods is therefore to facilitate the access and manipulation of this knowledge. This transfer of knowledge can be achieved by formalising rules at all scales, and communicating them to the designer at the appropriate phase. It is hence necessary to find a way to formalise information in time, space and space-time dimensions since AM is a process that places material in space and layer by layer. The concept of mereotopology is used to study the relationships of connection and interaction between parts, wholes and boundaries, and may be a suitable resource to study DfAM along these three dimensions. The aim of this paper will therefore be to present a method for searching and formulating design guidelines based on a discretisation of the process enabled by the concept of mereotopology. This method consists in the decomposition of a 3D model into features between which spatial, temporal and spatio-temporal interactions are studied. Simultaneously, the analysis of manufactured defects on a printed version of the model allows to link manufacturing defects with a configuration of spatial and temporal elements. Once the defects and configurations have been linked, rules are formulated and then validated or invalidated according to their recurrence on different models printed with the same process and material. This method could be integrated in industry to take advantage of manufacturing defects in order to add data to the statistical study.