ANC Kinetic R&D Suite v4.7

DOE Wizard · AI/ML · Calibrated longevity · Sensory · History

42.00 g
Active Initial VOC Mass ($M_0$)
0.0284 /d
Composite Decay Constant ($\bar{k}$)
24.4 Days
Kinetic Half-Life ($t_{1/2}$)
56.7 Days
Mass Lifespan (20% left)
—
Noticeable Scent Horizon
45%
Noticeable Cutoff (% mass)
Heuristic
Calibration Source
—
Cost / Noticeable Day
1. Fragrance Oil Identity & Vacuum Safety

Matches ANC Fuse oil catalog. Notes + vapor pressure drive Raoult blend safety and baseline decay.

Notes: Oud, Smoke, Resin, Wood, Amber
Base longevity (Fuse): 7.0 weeks · Evap rate: 42%
VP: 0.040 mmHg · MW: 235 g/mol · BP: 295°C
28.0 inHg
Calculated Blend Vapor Pressure: 0.034 mmHg
Max Safe Chamber Vacuum: -29.6 inHg
Boil Status: ✅ SAFE (No Volatile Boil)
2. Formula: Carriers, Fixatives & Odor Eliminator

Matches production blend: FO + DPG + IPM + Benzyl Benzoate + odor eliminator. Affects retention and flash risk.

69%
17%
16%
5%
4%
Blend total: 111% (aim near 100% for production match)
Fixative Anchor Index (FAI): 88.4 / 100
Top-Note Half-Life Extension: +235% Retention
Flash Risk: Low Flash Risk
3. Vehicle Cabin Airflow Multiplier

Models forced-convection boundary layer thinning ($h_m$) when hanging in front of active vehicle A/C vents.

30 CFM
22.0°C
Convective Mass Transfer ($h_m$): 1.22x Base
Thermal Arrhenius Multiplier: 1.00x Base
Projection Strength: Optimal Scent Throw
3. Multi-Component Profile

Top / Middle / Base note distribution. Auto-loads from the selected fragrance; adjust to model custom balances. Drives chart curves, component half-lives, composite \(k\), and scent character.

15%
35%
50%
Top
Mid
Base
Total: 100% ✓ Balanced
Top \(t_{1/2}\): —
Mid \(t_{1/2}\): —
Base \(t_{1/2}\): —
Scent Character: —
How note balance links to the rest of the suite
  • Fragrance catalog — changing oil auto-sets Top/Mid/Base from the oil’s profile.
  • Composite \(k\) & longevity — more base → slower fade; more top → stronger early throw, shorter horizon.
  • Kinetic chart — Top / Mid / Base curves use these percentages.
  • Wood vs card — each substrate applies its own rates to the same note mix.
  • History / ML — saved runs store T/M/B % for comparison and model training.
  • Relative rate × (Dual Substrate) — multiplies each note family after this split.
Quick tip: For long cabin life, bias Base. For strong first impression, raise Top and check the Noticeable horizon.
4. Porosity & Theoretical Saturation Limit Solver
Theoretical Pore Void Volume: 56.7 cm³
Max Theoretical Oil Capacity: 51.6 g
Actual Oil Loaded: 42.0 g
Pore Lumen Fill Efficiency: 81.4% of Void
Lumen Saturation Verdict: ✅ Optimal Vascular Lumen Flood
5. Multi-Point Regression & R² Solver

Fits scale weigh-ins to linear regression on ln(M(t)/M₀) to derive the empirical base rate constant. Keep at least 2 points.

Day (t) Scale Weight (g) Oil Mass (M_t) Action
Empirical $k_{\text{wood}}$: 0.0071 /day
Model Fit Correlation ($R^2$): 0.9560
Status: First-Order Valid
Comprehensive Kinetic Evaporation & Scent Trajectory
● Total ● Wood ● Card ● Top ● Mid ● Base
Dual Substrate System
┌─────────────────────────────┐ │ Top Wood (8mm) │ ← Impregnated with fragrance │ ┌───────────────────────┐ │ │ │ Cardstock (3mm) │ │ ← Also impregnated (double vacuum) │ │ Recessed housing │ │ │ └───────────────────────┘ │ │ Bottom Wood (8mm) │ ← Has 3 slits + holes for venting │ ┌───────────────────────┐ │ │ │ ████ ████ ████ │ │ ← Slits (3) │ │ ○ ○ ○ ○ ○ ○ ○ ○ │ │ ← Ventilation holes │ └───────────────────────┘ │ └─────────────────────────────┘
Wood Split: 62%
Cardstock Split: 38%
Vent Factor: 1.00x
Effective Surface Area: 1.0x
Relative Note Rates (softer defaults · tunable)
45%
Override with panel calibration when ≥8 linked evals exist. Lower % = longer “noticeable” claim.
Component Evolution Timeline
Day Total (g) Top (g) Mid (g) Base (g) Scent Character
6. Cost & Yield Optimization
88%
Oil Cost/Unit: $3.57
Total COGS: $6.07
Cost per Day: $0.11
Yield Loss: 12%
Break-even (30-day use): $0.20/day
7. Historical Database & Comparison
No runs saved yet. Click "Save Run" to start your history.
Click runs to select/deselect · Tags & filters persist in LocalStorage
Best-in-Class Summary

Save multiple runs, then click Best-in-Class to rank by lifespan, R², cost/day and FAI.

No ranking yet.
8. Sensory Panel Evaluation

Human validation of intensity, character & perceived longevity. Supports blinded / randomized codes.

7
7
Panel vs Instrument Correlation
No panel evaluations yet.
n (evals): 0
Linked: 0
Intensity ↔ k̄ r: —
Panel longevity ↔ model r: —
Hedonic ↔ FAI r: —
Cutoff cal: need ≥8 linked
Pearson r (linked only). ≥0.7 strong. Cutoff auto-calibrates at ≥8 linked; rate nudge at ≥12.
9. Experiment Design Wizard (DOE)

Factorial designs, RSM planners, and next-run suggestions from your history.

Select factors (2–4 recommended)
Generate a design or request next-run suggestions.
What-If Scenario Analysis

Adjust hypothetical settings and predict noticeable horizon / composite k using the physics model + ML when trained.

Physics Noticeable: —
Physics Mass 20%: —
ML Noticeable: —
ML Composite k̄: —
Run what-if after adjusting inputs. ML needs ≥6 saved runs.
11. SKU Lock Checklist —

One-page production lock before Fuse runs the SKU. Check each required (*) item, then export the lock package for the floor.

Kinetic ↔ Fuse Bridge
  • Export Bridge → Fuse — anc_bridge_v1 with calibrated_kinetics (Fuse: Import Kinetic).
  • Import (header) — accepts Fuse Export QC → Kinetic lots; maps postDry/postSoak into Wdry/Wsat and multipoint regression.
  • SKU Lock — checklist + JSON package for production handoff.
Typical loop
1. Kinetic: lock formula & longevity → Export Bridge
2. Fuse: Import Kinetic → run batch → weight QC
3. Fuse: Export QC → Kinetic
4. Kinetic: Import QC → refresh k̄ / noticeable days → Save Run
10. AI/ML Predictive Models

Client-side random-forest ensemble trained on your LocalStorage run history. No cloud required.

Model status: Not trained
n training rows: 0
OOB R² (noticeable): —
OOB R² (k̄): —
Trees / depth: —
Anomalies flagged: 0
Train on saved runs, then use Suggest Formula or QC Anomalies.
RSM / Response Surface Planner

Plan a central composite or Box–Behnken layout around current settings for continuous factors.

RSM plan will appear here.