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🔬 NanoCoatBuilder

Advanced Coating Formulation Software for Research & Development

Python PySide6 PyPI License Platform Version


📖 Overview

NanoCoatBuilder is a professional desktop application for designing, analyzing, and optimizing coating formulations. Built for researchers, chemists, and materials scientists, it provides intelligent predictions, ISO compliance validation, and automatic synthesis protocol generation.


✨ Key Features

Feature Description Status
🧪 Smart Formulation Drag-and-drop ingredient selection with real-time weight tracking ✅
🔬 Nanocomposites Support for Graphene, CNT, MXene, ZnO, and advanced nanomaterials ✅
📊 Performance Prediction AI-powered predictions for corrosion, adhesion, and durability ✅
✅ ISO Compliance Automatic validation against ISO 12944, 9227, 2409 standards ✅
⚙️ Protocol Generator Automatic synthesis protocol with safety notes ✅
🌍 Multi-language Full English and French interface ✅
📄 Export HTML reports and JSON data for publication ✅
📜 History & Compare Save, load, and compare formulations side-by-side ✅

🚀 Quick Start

Run from Source

# Clone the repository
git clone https://github.com/khadev/NanoCoatBuilder.git
cd NanoCoatBuilder

# Install dependencies
pip install -r requirements.txt

# Run the application
python main.py

Install from PyPI

pip install nanocoatbuilder-app
python -c "from nanocoatbuilder_app import main; main()"

Prerequisites

Requirement Version
Python 3.10 or higher
pip Latest version
RAM 4GB minimum
Disk Space 500MB

Dependencies

Package Version Purpose
PySide6 ≥6.5.0 Qt6 GUI Framework
matplotlib ≥3.7.0 Performance Graphs
numpy ≥1.24.0 Numerical Analysis
pydantic ≥2.0.0 Data Validation

📁 Project Structure

Directory Description
main.py Application entry point with splash screen
core/ Core business logic
core/database/ Ingredient database management
core/models/ Pydantic data models
core/analysis/ Performance analysis & validation
core/utils/ Utilities, constants & translations
ui/ User interface components
ui/widgets/ Reusable UI widgets
ui/dialogs/ Dialog windows
Screenshots/ Captured screenshots (auto-created)

🎮 Usage Guide

Step Action Description
1 Select Category Choose ingredient type (Resins, Nanocomposites, Pigments, etc.)
2 Add Ingredients Click ADD and select from database
3 Enter Weights Input grams (target total: 100g)
4 Choose Sector Select application (Navy, Aviation, Space, etc.)
5 Validate Save formulation to history
6 Analyze Get predictions, graphs, and protocol
7 Export Save as HTML report or JSON data

📊 Supported Application Sectors

Sector Icon Salt Spray Adhesion Solids VOC
Navy / Marine ⚓ ≥3000h ≥8 MPa ≥65% ≤350
Aviation / Aerospace ✈️ ≥2000h ≥10 MPa ≥70% ≤250
Space / Satellite 🚀 ≥5000h ≥12 MPa ≥80% ≤100
Industry / Manufacturing 🏭 ≥1500h ≥6 MPa ≥60% ≤420
Infrastructure / Bridges 🌉 ≥2000h ≥7 MPa ≥60% ≤420
Building / Construction 🏗️ ≥1000h ≥5 MPa ≥55% ≤420
Automotive 🚗 ≥1000h ≥6 MPa ≥55% ≤350
Oil & Gas 🛢️ ≥3500h ≥9 MPa ≥70% ≤350
Nuclear ☢️ ≥4000h ≥10 MPa ≥75% ≤200
Medical 🏥 ≥500h ≥5 MPa ≥50% ≤250

🧪 Ingredient Database

Resins

Ingredient Min Loading Max Loading Cost (€/kg)
Epoxy Resin (DGEBA) 20% 60% 5.50
Polyurethane (Aliphatic) 20% 55% 6.20
Acrylic (Waterborne) 30% 65% 3.80
Silicone Resin 15% 50% 12.00
Polyimide 10% 40% 25.00

Nanocomposites

Ingredient Type Min Loading Max Loading Cost (€/kg)
Graphene Oxide (GO) Graphene 0.1% 2.0% 150
Carbon Nanotubes (CNT) CNT 0.05% 1.0% 200
MXene (Ti3C2Tx) 2D Material 0.2% 3.0% 500
ZnO Nanoparticles Metal Oxide 0.5% 5.0% 45
TiO2 Nanoparticles Metal Oxide 0.5% 6.0% 35
SiO2 Nanoparticles Metal Oxide 0.5% 7.0% 25

Solvents

Solvent Density (g/cm³) Min Loading Max Loading Cost (€/kg)
Xylene 0.87 10% 40% 1.20
Butyl Acetate 0.88 10% 40% 1.50
Water 1.00 5% 30% 0.01
Acetone 0.79 5% 30% 1.00
Ethanol 0.79 5% 25% 0.80
Toluene 0.87 10% 40% 1.30

Additives

Additive Min Loading Max Loading Cost (€/kg)
Dispersant (BYK-110) 0.1% 2.0% 15.00
Defoamer (BYK-024) 0.05% 1.0% 18.00
Curing Agent (Amine) 10% 25% 8.00
UV Absorber 0.5% 3.0% 25.00
Rheology Modifier 0.1% 2.5% 12.00

Fillers

Filler Min Loading Max Loading Cost (€/kg)
Glass Fibers (short) 5% 30% 3.00
Carbon Fibers (milled) 5% 25% 25.00
Aramid Pulp 3% 20% 40.00
Cellulose Nanofibers 1% 15% 50.00

📈 Performance Predictions

Property Unit Excellent Good Poor
Corrosion Rate mm/year <0.01 0.01-0.05 >0.05
Adhesion MPa >8 5-8 <5
Salt Spray hours >5000 2000-5000 <2000
Volume Solids % >70 60-70 <60
VOC g/L <250 250-420 >420
Service Life years >20 10-20 <10

✅ ISO Standards Compliance

Standard Requirement Acceptance Criteria
ISO 12944-1 Formulation weight 100g ±5g
ISO 12944-5 Volume solids ≥60%
ISO 12944-5 Resin content ≥30% of solids
ISO 9227 Salt spray resistance ≥1000 hours
ISO 2409 Cross-cut adhesion Class 0 or 1
ISO 15184 Pencil hardness ≥H
EU 2004/42/EC VOC limit ≤420 g/L

🔧 Validation Rules

Category Rule Severity
Weight Total weight must be 100g ±5g Error
Resin Resin content ≥30% of solids Error
Solvent Solvent content ≥15% of total Error
Additive Additive content ≤5% of total Error
Nanocomposite Nanocomposite loading ≤5% of solids Error
Epoxy-Amine Curing agent required with epoxy Error
Nanocomposite Ultrasonication required Warning

🖼️ Screenshots

Main Window Analysis Results

🛠️ Development

Building Executable

Platform Command
Windows pyinstaller --onefile --windowed --name NanoCoatBuilder main.py
Linux pyinstaller --onefile --name NanoCoatBuilder main.py
macOS pyinstaller --onefile --windowed --name NanoCoatBuilder main.py

Running Tests

python -m pytest tests/

Adding New Ingredients

Edit core/database/ingredient_db.py:

cls._ingredients["New Ingredient"] = Ingredient(
    name="New Ingredient",
    category="resin",  # resin, solvent, pigment, additive, nanocomposite, filler
    min_loading_wt=0,
    max_loading_wt=100,
    properties=ChemicalProperty(density=1.0, cost_per_kg=10.0)
)

📋 Changelog

Version Date Changes
1.0.2 2026-06 Added LICENSE file
1.0.1 2026-06 Initial PyPI release

👨‍💻 Author

Oukil Khaled Ibn Elwalid

Platform Link
GitHub @khadev
Email oukil.khaled@gmail.com

🙏 Acknowledgments

Tool/Framework Purpose
Qt for Python (PySide6) GUI Framework
Matplotlib Graphing capabilities
Pydantic Data validation
NumPy Numerical computations

📜 License

This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.



Made with 🔬 for the research community
© 2026 Oukil Khaled Ibn Elwalid

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