WP-03 Simulation-Ready Geometry Abstraction
| Field |
Value |
| Priority |
High |
| Status |
Framing |
| Problem Space |
CAE and simulation automation |
| Linked Capability |
geometry abstraction, preprocessing, simulation workflow logic |
| Best Collaboration Shape |
benchmark + prototype + pilot |
| Owner |
unassigned |
What This Work Package Is
Convert raw CAD into representations that are more usable for simulation workflows, especially where engineers currently spend manual effort on cleanup, simplification, and setup preparation.
Why It Matters To RapidDraft
- Targets a widely felt engineering pain point
- Connects directly to future agentic CAE workflows
- Offers strong academic depth without losing product relevance
Expected Deliverables
- workflow pain decomposition
- baseline abstraction or cleanup pipeline
- benchmark examples from real parts
- validation criteria linked to downstream simulation usefulness
Candidate Lanes
| Lane |
People or Group |
Why They Matter |
Best First Ask |
Priority |
| Hochschule München execution lane |
Vahid Salehi Douzloo, Gia-Khanh Pham |
strongest local applied CAD/CAE/PLM thesis and prototype signal |
3-6 month applied thesis on CAD-to-CAE preparation |
High |
| TH Ingolstadt CA-methods lane |
Thomas Binder |
direct CA-methods and FEM/CAD-adjacent fit for workflow automation |
practical student project on FEM preprocessing assistant |
High |
| Fraunhofer ITWM simulation lane |
Joachim Linn |
strongest direct model-reduction and simulation-automation node |
later-stage applied project once deliverable is sharp |
Medium |
| Fraunhofer IGD interactive engineering lane |
Daniel Weber |
strong CAD/CAE acceleration and interactive engineering fit |
technical exchange on geometry prep and engineering UX |
Medium |
Recommended First Opportunity
Ideal Partner Profile
- strong in simulation automation or preprocessing workflows
- realistic about industrial geometry pain
- able to evaluate usefulness, not only algorithmic novelty
Candidate Evidence Types
- preprocessing or geometry-cleanup research
- CAD-to-CAE workflow papers
- lab or institute work on simulation automation
Recommended Next Actions
- Narrow the first workflow focus before selecting a full partner set.
- Use Hochschule München as the first fast execution lane, not Fraunhofer.
- Separate preprocessing-heavy candidates from surrogate-model and digital-twin candidates.
- Define what "good enough for simulation" means in workflow and engineering-time terms before outreach.
Open Questions
- Which downstream simulation context should anchor the first evaluation?
- Should defeaturing and setup translation stay together or split later?
Sources
TextCAD/04_Marketing and Outreach/13_Universities/deep-research-report Monster.md
TextCAD/04_Marketing and Outreach/13_Universities/RapidDraft Academic & Applied Research Partner Mapping (Monster Brief, v1).md
TextCAD/04_Marketing and Outreach/13_Universities/deep-research-report.md