| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1698790 | Procedia CIRP | 2016 | 6 Pages |
Abstract
As Additive Manufacturing (AM) is viewed more and more as a production-capable technology, data and information needs have made the costs of AM complexity increasingly apparent. Techniques available in current GD&T practices do not fully support product definitions needs in additive manufacturing. The fully model-driven process introduces new intricacies and complexities that must be addressed to facilitate the reproducibility of AM parts. Machine-readability needs must trump human interpretation requirements. In this paper, we discuss the future directions of GD&T and semantic annotations as they relate to satisfying AM product definition requirements.
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Industrial and Manufacturing Engineering
Authors
Paul Witherell, Jennifer Herron, Gaurav Ameta,