Paramus — Coating Formulation Optimization

Overview

Drive a coating recipe toward competing targets (gloss, hardness, hiding power, drying time) by balancing binder/pigment/solvent/additive levels. The value is the multi-objective trade-off, not one lookup.

Guidance vs execution: property and DOE estimates come from tested Paramus tools. Treat outputs as formulation guidance, not certified performance claims.

When to Use

• Balancing multiple competing coating property targets at once
• Reformulating to hit a new gloss/hardness spec without losing others Do not use for: single-property lookups (use property prediction directly) or regulatory VOC certification.

Workflow

Target property profile + component ranges
  ↓ 1. Map components to property effects   → binder/pigment/solvent roles
  ↓ 2. Propose a DOE over the ranges         → efficient design points
  ↓ 3. Predict properties per design point    → gloss/hardness/dry time
  ↓ 4. Rank against the target profile        → Pareto trade-offs
  ↓ 5. Emit recommended formulation           → ranked + provenance

Procedure

1. Discover tools via search/get_schema ("formulation", "property", "DOE").
2. Map each component to the properties it drives.
3. Propose an efficient design of experiments over the allowed ranges.
4. Predict the full property profile for each design point.
5. Rank candidates against the target profile, surfacing trade-offs.
6. Emit a recommended formulation with provenance and confidence.

Domain Judgment

• Optimization ≠ guarantee — present as ranked candidates to test.
• Watch for coupled effects: raising pigment volume can cut gloss and hiding at once.
• Prefer robust formulations over knife-edge optima sensitive to dosing error.

Fallbacks

• DOE/prediction tool unavailable → deliver a manual factor-effect table, clearly scoped.
• Endpoint unreachable → stop and report; do not fabricate property values.