# manufacturing-knowledge

> Technical specifications, material properties, and cost models for CNC Milling and Injection Molding. Use this when the task specifies a 'max_unit_cost' or 'target_quantity', or when planning for specific manufacturing processes.

- Author: MRiabov
- Repository: MRiabov/Problemologist-AI
- Version: 20260203154338
- Stars: 0
- Forks: 0
- Last Updated: 2026-02-06
- Source: https://github.com/MRiabov/Problemologist-AI
- Web: https://mule.run/skillshub/@@MRiabov/Problemologist-AI~manufacturing-knowledge:20260203154338

---

---
name: manufacturing-knowledge
description: Technical specifications, material properties, and cost models for CNC Milling and Injection Molding. Use this when the task specifies a 'max_unit_cost' or 'target_quantity', or when planning for specific manufacturing processes.
---

# Manufacturing & Economic Knowledge

This skill provides the procedural and domain knowledge required to design parts that meet specific manufacturing constraints and economic targets.

## 1. Dynamic Data Access

To get the most up-to-date material properties, density, and cost constants, you MUST run the provided data script. **Do not rely on your internal knowledge or hardcoded values in this file.**

**Action**: Use `run_skill_script(skill_name="manufacturing-knowledge", script_name="get_material_data.py")`

## 2. CNC Milling (3-Axis)

**Best for**: Low volumes (1-100 units), high strength, aluminum parts.

### Cost Formula
$$Total = Setup + (Material + Run) \times Quantity$$
- **Setup Cost**: Fixed cost (~$80.00) for machine programming and fixturing.
- **Material Cost**: $\frac{Volume \, (cm^3) \times Density \, (g/cm^3)}{1000} \times Price/kg$.
- **Run Cost**: Machining time based on volume removal rate (~1000 $mm^3/min$).

### Design Constraints
- **Undercuts**: Strictly forbidden. All geometry must be reachable from the top (+Z axis).
- **Internal Corners**: Minimum tool radius is **3mm**. Use `fillet()` on all internal vertical edges.

---

## 3. Injection Molding (IM)

**Best for**: High volumes (>1,000 units), plastic parts, low unit cost.

### Cost Formula
$$Total = Tooling + (Material + Cycle) \times Quantity$$
- **Tooling Cost**: High fixed cost (~$5,000+). Driven by part surface area (complexity).
- **Material Cost**: $\frac{Volume \, (cm^3) \times Density \, (g/cm^3)}{1000} \times Price/kg$.
- **Cycle Cost**: Cooling time proportional to part volume.

### Design Constraints
- **Draft Angles**: Mandatory for all vertical faces. Minimum **2.0 degrees**. Use the `draft()` operation.
- **Wall Thickness**: Keep between **1.0mm and 4.0mm**. Avoid thick sections to prevent sink marks.
- **Undercuts**: Forbidden in a simple 2-part mold.

---

## 4. Economic Strategy

- **Quantity < 100**: Prefer **CNC** or **3D Printing**.
- **Quantity > 1000**: Always prefer **Injection Molding** if geometry allows.
- **Volume Optimization**: Reducing part volume directly reduces material cost and run/cycle time.
- **Part Reuse**: Using multiple instances of the *same* part ID is significantly cheaper than multiple unique parts due to shared setup/tooling costs (50% discount for CNC setup, 90% discount for IM tooling).

## 5. Technical Design Patterns

### Pattern: CNC Fillet Strategy
```python
# Expert Pattern: Automatic filleting of internal vertical edges
internal_edges = part.edges().filter_by(Axis.Z).internal()
part = fillet(internal_edges, radius=3.1) # 3.1mm for 3.0mm tool clearance
```

### Pattern: Injection Molding Shelling
```python
# Expert Pattern: Creating a shelled plastic part
part = shell(part, openings=part.faces().sort_by(Axis.Z).last(), amount=-2.0)
```

### Pattern: Draft for Release
```python
# Expert Pattern: Applying 2-degree draft
part = draft(part, faces=part.faces().filter_by(Axis.Z), angle=2.0, pull_direction=(0,0,1))
```