1. 6/6/031 Geometry – Data Acquisition and Model Reconstruction VPERC Conference June 6, 2003 ASU

2. 2 Workshop Goals Impact No point solutions Convergence of multiple technologies

3. 3 Legacy Systems Engineering What is there What is wanted What to produce –Complete data package (for problem at hand) –Archive of complete part systems that are searchable, retrievable, complete, etc.

4. 4 Desired Tools, Techniques, Tech (TTT) for supporting LSE Input –Data clouds, meshes, drawings, legacy CAD... –Domain knowledge, design intent –Desired goal of redesign process Process path choice RE vs. Re-design vs. Re-Engineering

5. 5 Desired Tools, Techniques, Tech for LSE - 2 Process: Data (point cloud)  registration  denoising  segmentation  CAD Model –TTT for capturing constraints, domain templates, features Engineering assistants, inference engines –Resolution of inconsistencies –Augmentation and integration of multiple engineering representations Superposition and interaction Geometry, analysis, manufacturing

6. 6 Desired Tools, Techniques, Tech for LSE - 3 Output (what desired, what is good enough) –Format and/or data representation Hooks to analysis, manufacturing (materials) –Standards –Complete Package Geometry, history, dimensioning and tolerancing information, design Intent, manufacturing knowledge Format?

7. 7 Assessment of Commercially avail Tech 3D object capture (from exemplar parts) –Data acquisition (3D, metrology) Laser scanning (triangulation) (e.g., digibotics, cyberware) –Point, Line, Area Lidar (time of flight) (e.g. deltasphere) Photogrammetry (camera systems) CT (for interiors) CMM (exact but slow) –Touch –optics/hybrid –Model c onstruction (e.g., Geomagic, Surfacer, Paraform)

8. 8 Assessment of Commercially avail Tech Legacy Data Conversion/Integration –Drawing capture (image analysis) Service companies available, (what do they do?) Annotation extraction Geometry extraction –Legacy CAD conversion (no products?)

9. 9 Technology Gaps - 1 3D Object Capture –Data acquisition from physical parts Robust, accurate, multi-view, non-contact, internal structure, scale, repeatable –Model constructions Legacy data Conversion/Integration –Drawing Analysis (annotations and geometry) –Legacy CAD conversion (annotations and parameters)

10. 10 Technology Gap - 2 Process: data (point cloud) -> registration -> de-noising -> intelligent segmentation -> CAD Model –TTT for capturing constraints, domain templates, features Engineering Assistants, Inference Engines –Resolution of inconsistencies –Incomplete information –Augmentation and Integration of multiple engineering representations Superposition and interaction Geometry, analysis, manufacturing

11. 11 Technology Gaps - 3 Output (what desired, what is good enough) –Format and/or Data Representation Hooks to analysis, manufacturing, materials, … –Standards –Complete Package Geometry, History, Dimensioning and Tolerancing information, Design Intent, Manufacturing knowledge Format?

12. 12 Questions/Thoughts Embedded Surfacer

13. 13 David Trees Gaps : Need Inferences: physical part Geometry features –Scan data Software solutions  augmentations –Vintage data Geometry Drawing scale