General Process Workflow in Additive Manufacturing

Godec, Damir; Pilipović, Ana; Breški, Tomislav

doi:10.1007/978-3-031-05863-9_2

Cited by 2 publications

(1 citation statement)

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“…When converting 3D models into machining data for additive manufacturing and subtractive manufacturing, the models are sliced in horizontal layers to extract contour curves that are used for generating tool paths. The models need to be watertight and solid without any holes in enclosing surfaces of the models (D. Godec et al, 2022). However, 3D scanned objects often have many holes and scan omissions thus they are not solid and suitable for fabrication; furthermore, models that consist of multiple 3D scanned objects could result in a large number of meshes and cause complex overlapping of multiple objects that could not be handled by the conventional slicing method to generate tool paths.…”

Section: Technical Challengesmentioning

confidence: 99%

Approximate Optimization Method for Complex Shapes Using Displacement Mapping

Hirano¹

2023

Proceedings of the 28th Conference on Computer Aided Architectural Design Research in Asia (CAADRIA) [Volume 2]

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This paper proposes a method to optimize 3D models with complex shapes based on 3D scan models into data that can be machined by 3-axis digital fabrication equipment by utilizing displacement mapping technique. In contemporary architecture, the collage technique is being increasingly used, with complex digital models including 3D scanned objects being used as collaged elements without simplification. Additive manufacturing and subtractive manufacturing are the major techniques used to create these forms, but they are difficult to fabricate on 3-axis machines. This paper first discusses the technical challenges of fabricating collaged models using a 3-axis machine, then the paper proposes a method to optimize the models into data that can be fabricated by 3-axis machines by utilizing displacement mapping technique. The paper introduces two cases of art installations designed and fabricated using the method proposed in this paper and discusses how the method is applied to them. Finally, the potential of this method and challenges to be addressed for the future will be discussed.

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Section: Technical Challengesmentioning

confidence: 99%