# chunks

id: 9a646a0193176015d8f5e3b39c1125c4b0c91a3deeaa103733e9b66f1e4e6977
path: memory/2026-02-13.md
source: memory
hash: 0f36003c7a23a840069306b4f600baf15393ee9963c14527c2db3df345ff08dc
model: gemini-embedding-001
text:
## Mass NaN Fix — COMMITTED ✅
- **Commit:** `580ed65` on Atomizer repo main branch
- **Root cause:** `solve_simulation.py` journal's `solve_simple_workflow()` tried to read mass via expression `p173` after part switching (geom→FEM→SIM→solve→back). Expression was stale/inaccessible after switching. `_temp_mass.txt` never written.
- **NOT** the `M1_Blank` hardcoding (that's assembly workflow only). Beam uses `solve_simple_workflow` (no `.afm`).
- **Fix (2 edits):**
  1. Extract mass RIGHT AFTER geometry rebuild (`DoUpdate()`) while geom part is work part — uses `MeasureManager.NewMassProperties()` (computes fresh from solid bodies)
  2. Post-solve: skip re-extraction if already done; fallback to MeasureManager instead of p173
- **NX Expert** did the fix but did NOT use MCP server — was a code-level debug task, not API discovery
- **NX Expert Slack issue:** sub-agent couldn't post to #all-atomizer-hq (channel ID routing problem for spawned agents)
- **Next:** Pull on dalidou, test single trial, then re-run full DOE with 20mm constraint

## Sub-agent Issues
- Tech Lead sub-agents both hit 200K token context limit and aborted (`abortedLastRun: true`)
- Had to do diagnosis myself then delegate to NX Expert
- NX Expert also couldn't post to Slack (channel_not_found with various target formats)
- **Lesson:** Sub-agents need leaner prompts, and Slack channel routing needs fixing for spawned sessions

## DEC-HB-012 — Displacement Constraint Relaxed
- 10mm → 20mm, CEO approved (dummy case, pipeline proving)
- Updated CONTEXT.md and DECISIONS.md in project folder

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id: ee887db373a5727e0a0dc1eb3d95a5e402414e7e3486e8ca72642cad2d83765d
path: memory/2026-02-10.md
source: memory
hash: 96ee4877b2ca5a3adc6b20aa8bda22ac5cc7b7c43d665dcf66357b7a26b3036a
model: gemini-embedding-001
text:
# 2026-02-10

## Hydrotech Beam — KBS Sessions Received
- Antoine recorded 3 KBS capture sessions on his Windows machine (NX/Simcenter)
- Data location: `/home/papa/ATODrive/Projects/hydrotech-beam/Hydrotech-Beam/_capture/`
- Sessions: `20260210-132817` (6s), `20260210-161401` (38s), `20260210-163801` (414s main session)
- Main session is a full walkthrough of the NX model with parameter names, values, BCs, materials

### New Information from KBS Sessions
- Beam length = 5,000 mm (`beam_length` expression)
- Cantilever: left fixed, right loaded with 10,000 kgf downward
- Hole span = 4,000 mm (`p6`), holes start/end 500mm from beam ends
- Mass via expression `p1` (NOT `p173` as we had) — starting 11.33 kg (CONTRADICTS 974 kg baseline!)
- Material: ANSI Steel 1005 — future: aluminum 6061, stainless ANSI 310
- Mesh: CQUAD4 thin shells, mid-surface idealization, element size = 67.4/2
- New expression names: `beam_half_height`, `beam_half_width`
- `p6` (hole span) as potential new design variable
- 4 screenshot triggers in the session metadata

### Actions Taken
- Posted acknowledgment + next steps in #project-hydrotech-beam
- Spawned Tech Lead sub-agent (label: tech-lead-kb-update) to:
  - Process all 3 transcripts
  - Update KB to Gen 002
  - Reconcile mass discrepancy (11.33 kg vs 974 kg)
  - Close resolved gaps (G1, G2, G5 partial, G8)
  - Update CONTEXT.md
  - Commit to Gitea

### Workflow Status
- Step 1 (Optimizer strategy): OPTIMIZATION_STRATEGY.md exists as DRAFT from Feb 9
- Current: Processing new KB data before proceeding

embedding:
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id: 4381aeeaa690153dd24f06e0fb5dfa1b08eba6e4a035627e6236eced7c0a6d41
path: memory/2026-02-10.md
source: memory
hash: 212fef191b8f8486f924dc7dca093f260c44330cbb84660415c4a8dcb08056a4
model: gemini-embedding-001
text:
  - Update KB to Gen 002
  - Reconcile mass discrepancy (11.33 kg vs 974 kg)
  - Close resolved gaps (G1, G2, G5 partial, G8)
  - Update CONTEXT.md
  - Commit to Gitea

### Workflow Status
- Step 1 (Optimizer strategy): OPTIMIZATION_STRATEGY.md exists as DRAFT from Feb 9
- Current: Processing new KB data before proceeding
- Next: Optimizer revises strategy with confirmed params → Auditor review → Study Builder code
- Model files confirmed synced: Beam.prt, Beam_fem1.fem, Beam_fem1_i.prt, Beam_sim1.sim

### Completed
- [x] Tech Lead completed KB Gen 002 update — commit `b88657b`
- [x] Mass corrected AGAIN: **1,133.01 kg** (`p173`), NOT 11.33 kg — Antoine corrected us
- [x] Binary introspection of Beam.prt — extracted complete expression table (commit `15a457d`)
- [x] DV baselines are NOT round: face_thickness=21.504, core_thickness=25.162 (not 20/20)
- [x] Gaps G12-G14 closed (beam_half_height=250, beam_half_width=150, holes_diameter expression confirmed)
- [x] Important: `beam_lenght` has TYPO in NX (no 'h') — scripts must use exact spelling
- [x] `hole_count` links to `Pattern_p7` in the NX pattern feature
- [x] CONTEXT.md updated with full expression map, pushed to Gitea

### Pending — Waiting on Antoine
- [ ] Baseline re-run (G10, G11) — need current displacement and stress values
- [x] Decision on `p6` (hole span) — kept fixed at 4,000mm for now (Manager decision)

### Windows Environment (dalidou)
- Path: `C:\Users\antoi\Atomizer\projects\hydrotech-beam\` (Syncthing from server)
- Python: `anaconda3\envs\atomizer` (conda env named "atomizer")

embedding:
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id: 2e1956eafbc7599e1a8821af3ba1e63138319b4c66ba59b4ca91a4cc526df324
path: memory/2026-02-10.md
source: memory
hash: f4fd8a1ccc6a94845c52183b1680690e27812803e49b4c8d4b671724a16ec574
model: gemini-embedding-001
text:
- [ ] Baseline re-run (G10, G11) — need current displacement and stress values
- [x] Decision on `p6` (hole span) — kept fixed at 4,000mm for now (Manager decision)

### Windows Environment (dalidou)
- Path: `C:\Users\antoi\Atomizer\projects\hydrotech-beam\` (Syncthing from server)
- Python: `anaconda3\envs\atomizer` (conda env named "atomizer")
- Antoine ran smoke test on Feb 11 — hit 2 bugs, both fixed (commit `135698d`)
- NXOpen implementation still needed (solve, extract_displacement, extract_stress)

### In Progress
- [x] Optimization strategy updated with corrected baselines (commit `3e51804`)
- [x] Auditor review: APPROVED WITH CONDITIONS — 2 blockers found and fixed:
  - Hole spacing formula: `span/(n-1)` not `span/(n+1)` — fixed
  - Web height constraint: added `500 - 2*face - dia > 0` pre-check — fixed
  - Commit `94bff37`
- [x] Study Builder completed Phase 1 code (commit `017b90f`) — verified end-to-end with stub solver
  - 6 files: run_doe.py, sampling.py, geometric_checks.py, nx_interface.py, requirements.txt, README.md
  - Pre-flight geometric filter catches ~24% of infeasible combos
  - NXOpen template ready — needs 3 methods filled in on Windows (solve, extract_disp, extract_stress)
- [ ] Antoine running baseline SOL 101 for displacement + stress (parallel)
- [ ] `p6` kept fixed at 4,000mm for now (DEC by Manager)

### NXOpenSolver → Existing Engine Integration (Late Evening)
- Antoine confirmed: runs everything from his "Honda atomizer" conda env on Windows

embedding:
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id: 293fa8db4bf815bfd8f6e680387eae556b58b28d7747ec641b5d638e11dcddd2
path: memory/2026-02-10.md
source: memory
hash: dfcc3a20f18ce2908c5ca202d632ec4ac4099a9eee035eeff2e7d1ea4b4dd476
model: gemini-embedding-001
text:
  - NXOpen template ready — needs 3 methods filled in on Windows (solve, extract_disp, extract_stress)
- [ ] Antoine running baseline SOL 101 for displacement + stress (parallel)
- [ ] `p6` kept fixed at 4,000mm for now (DEC by Manager)

### NXOpenSolver → Existing Engine Integration (Late Evening)
- Antoine confirmed: runs everything from his "Honda atomizer" conda env on Windows
- Uses existing `run_optimization.py` which calls `NXSolver` + `NXParameterUpdater` + pyNastran extractors
- **Key insight:** We do NOT need to write NXOpen code from scratch — the Atomizer engine already has everything:
  - `optimization_engine/nx/solver.py` — journal-based solver via `run_journal.exe`
  - `optimization_engine/nx/updater.py` — expression updates via `.exp` import
  - `optimization_engine/extractors/extract_displacement.py` — pyNastran OP2
  - `optimization_engine/extractors/extract_von_mises_stress.py` — pyNastran OP2, kPa→MPa
  - `optimization_engine/extractors/extract_mass_from_expression.py` — from temp file
- Delegated to Study Builder (label: `study-builder-nx-impl`) to rewrite `NXOpenSolver` as a wrapper around existing engine
- Asked Antoine to confirm `pyNastran` is installed in the conda env

### Infra Fixes
- Study Builder model was set to non-existent `claude-sonnet-5` → fixed to `claude-sonnet-4-20250514`
- All agents were missing Anthropic API auth → propagated from Manager's auth-profiles.json
- Agents fixed: secretary, study-builder, optimizer, auditor, technical-lead

### Study Builder Delivered — NXOpenSolver (commit `33180d6`)

embedding:
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id: a25e9022368c084db2b887c8944f5c7c7dcbf23d1027d238b4bcab48043b36b6
path: memory/2026-02-10.md
source: memory
hash: 97797548fed591e79ebef8ac581e00c0590645e051de309308fceb595508f058
model: gemini-embedding-001
text:
- Study Builder model was set to non-existent `claude-sonnet-5` → fixed to `claude-sonnet-4-20250514`
- All agents were missing Anthropic API auth → propagated from Manager's auth-profiles.json
- Agents fixed: secretary, study-builder, optimizer, auditor, technical-lead

### Study Builder Delivered — NXOpenSolver (commit `33180d6`)
- Wraps existing Atomizer engine: NXParameterUpdater, NXSolver, pyNastran extractors
- HEEDS-style iteration folders, 600s timeout, CQUAD4 shell stress, kPa→MPa
- Full interface compatibility with run_doe.py preserved
- 252 additions, 126 deletions

### Tech Lead Refined — NXOpenSolver v2 (commit `390ffed`)
- Built on Study Builder's work with improvements:
  - Element type auto-detection (tries solids first, falls back to CQUAD4)
  - OP2 fallback path (solver result → expected naming convention)
  - Mass fallback via `_temp_part_properties.json`
  - Follows SAT3_Trajectory_V7 FEARunner pattern exactly
- Both commits stack cleanly on main, latest is the active version

### Late Night — Antoine Follow-Up (~23:00-01:00 UTC)
- Antoine returned: "Yeah! What's next?" — confirmed ready to move forward
- Asked about conda env: confirmed he uses `conda atomizer` (defined in `environment.yml` at repo root)
  - Includes optuna, scipy, numpy, pandas, pyNastran — all Phase 1 deps covered
- Asked "What's the NXOpen implementation about?" — explained the 3 bridge methods (solve, extract_disp, extract_stress)
- Antoine asked how this relates to legacy Atomizer studies (SAT3, mirror blank)

embedding:
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id: 4c6c3d63e3cb7bfef5f82bf5c6506cba0a64a9d75cc5d5961e23062d6bdda418
path: memory/2026-02-10.md
source: memory
hash: aa22003a37d5710a63f7312e95f25c957045cca1c2e2577e3bcc9957a7585ca3
model: gemini-embedding-001
text:
- Asked about conda env: confirmed he uses `conda atomizer` (defined in `environment.yml` at repo root)
  - Includes optuna, scipy, numpy, pandas, pyNastran — all Phase 1 deps covered
- Asked "What's the NXOpen implementation about?" — explained the 3 bridge methods (solve, extract_disp, extract_stress)
- Antoine asked how this relates to legacy Atomizer studies (SAT3, mirror blank)
  - Confirmed: same engine (NXSolver, NXParameterUpdater, pyNastran extractors)
  - Differences: geometric pre-filter, LHS sampling, cleaner separation, project-scoped
- **Antoine approved:** "go ahead and do it"
- Delegated NXOpen implementation completion to Technical Lead (label: `hydrotech-nxopen-impl`)
  - Task: complete NXOpenSolver.evaluate() using existing Atomizer engine components
  - Reference: SAT3_Trajectory_V7, bracket study, existing engine classes

### Feb 11 Morning — Bug Fixes + Final Refactor
- Antoine tested on dalidou, hit 2 bugs:
  1. SQLite duplicate study name → fixed with `load_if_exists=True` + `--clean` flag
  2. Sampling crash with `n-samples 1` → skip stratified patching when n < 11
  - Commit `135698d`
- **Full refactor of nx_interface.py** (commit `126f0bb`):
  - `AtomizerNXSolver` wraps existing `optimization_engine` (NXSolver + pyNastran extractors)
  - HEEDS-style iteration folders, .exp file generation, OP2 extraction
  - StubSolver improved with beam-theory approximations
  - Windows path confirmed: `C:\Users\antoi\Atomizer\projects\hydrotech-beam\`
  - Conda env: `atomizer` (all deps pre-installed)

embedding:
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id: dc4435cfd07d009abfbe0603468777c60c1dab90e498efc4f2707b164c767668
path: memory/2026-02-10.md
source: memory
hash: 77b21e9f76756cb412fb965fa2fc06dcc4b95c03474e2a8a4858d8d6d2b028eb
model: gemini-embedding-001
text:
  - `AtomizerNXSolver` wraps existing `optimization_engine` (NXSolver + pyNastran extractors)
  - HEEDS-style iteration folders, .exp file generation, OP2 extraction
  - StubSolver improved with beam-theory approximations
  - Windows path confirmed: `C:\Users\antoi\Atomizer\projects\hydrotech-beam\`
  - Conda env: `atomizer` (all deps pre-installed)

### Future Initiative — NX Simcenter 3D MCP (CEO request, Feb 11)
- MCP server on dalidou for direct NXOpen interaction
- Endpoints: expressions.list/get/set, model.update, solve.run, results.*, introspect, screenshots
- Eliminates pyNastran, temp files, journal generation — all via NXOpen API
- Target: Phase 2/3 roadmap
- Logged per Antoine's explicit request — not blocking current work

### Next
- [ ] Antoine tests `--backend nxopen` on dalidou (single trial smoke test)
- [ ] Full 51-trial Phase 1 run
- [ ] Phase 2 TPE optimization

embedding:
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