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additive-manufacturing

// Skill for additive manufacturing process selection, design optimization, and build preparation

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updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
nameadditive-manufacturing
descriptionSkill for additive manufacturing process selection, design optimization, and build preparation
allowed-toolsRead,Write,Glob,Grep,Bash
metadata[object Object]

Additive Manufacturing Skill

Purpose

The Additive Manufacturing skill provides capabilities for AM process selection, design optimization, and build preparation, enabling effective use of additive technologies for prototyping and production applications.

Capabilities

  • AM technology selection (SLS, DMLS, FDM, SLA)
  • Design for additive manufacturing (DfAM)
  • Build orientation optimization
  • Support structure design and minimization
  • Part nesting and build volume optimization
  • Post-processing procedure specification
  • Surface finish and tolerance expectations
  • AM-specific material properties and considerations

Usage Guidelines

Technology Selection

Metal AM Processes

ProcessMaterialsResolutionApplications
DMLS/SLMTi, Al, Steel, Inconel30-50 um layerAerospace, medical
EBMTi, CoCr50-100 um layerOrthopedic implants
DEDMost metals250+ umLarge parts, repair
Binder JetSteel, bronze80-100 umTooling, high volume

Polymer AM Processes

ProcessMaterialsResolutionApplications
SLSNylon, TPU100-150 umFunctional prototypes
SLA/DLPPhotopolymers25-100 umHigh detail, patterns
FDMABS, PLA, PC, PEEK100-300 umPrototypes, tooling
MJFNylon80 umProduction parts

Design for Additive Manufacturing

Self-Supporting Angles

Minimum self-supporting angle:
- Metal (DMLS): 45 degrees from horizontal
- Polymer (SLS): 0 degrees (self-supporting)
- FDM: 45 degrees (with support)
- SLA: 30-45 degrees

Overhang rule:
- Unsupported distance < 2 mm (metal)
- Unsupported distance < 5 mm (polymer)

Minimum Feature Sizes

ProcessMin WallMin HoleMin Detail
DMLS0.4 mm0.5 mm0.2 mm
SLS0.7 mm1.0 mm0.3 mm
SLA0.5 mm0.5 mm0.1 mm
FDM0.8 mm2.0 mm0.5 mm

Design Optimization

  1. Topology Optimization

    • Define design space
    • Apply loads and constraints
    • Set mass reduction target
    • Interpret and refine results
  2. Lattice Structures

    TypeRelative DensityApplication
    Octet truss10-40%High stiffness
    Diamond15-35%Isotropic
    Gyroid10-50%Bone ingrowth
    Honeycomb20-50%Directional load
  3. Part Consolidation

    • Identify assembly candidates
    • Evaluate function integration
    • Consider serviceability
    • Calculate cost/benefit

Build Preparation

Orientation Selection

Optimization criteria:
1. Minimize support volume
2. Optimize surface finish on critical surfaces
3. Reduce build height (time)
4. Ensure feature accuracy

Trade-off example:
- Flat orientation: Less support, rougher top surface
- Angled orientation: More support, better detail

Support Design

  1. Support Types

    TypeApplicationRemoval
    BlockLarge overhangsManual/machining
    TreeComplex geometryManual
    LatticeHeat dissipationManual
    ConePoint supportsManual
  2. Support Minimization

    • Reorient part
    • Add self-supporting chamfers
    • Split and assemble
    • Modify geometry if allowed

Nesting and Packing

Minimum spacing:
- DMLS: 2-5 mm between parts
- SLS: 2-3 mm (powder acts as support)
- FDM: N/A (single part builds)
- SLA: 2-3 mm

Packing efficiency target: 5-15% of build volume

Post-Processing

Metal AM

  1. Required

    • Stress relief (before removal)
    • Support removal
    • Heat treatment (as specified)
  2. Optional

    • Machining critical surfaces
    • Shot peening
    • Polishing/finishing
    • HIP (for porosity closure)

Polymer AM

  1. SLS/MJF

    • Depowder and clean
    • Dye or paint (optional)
    • Sealing (if required)
  2. SLA/DLP

    • Wash (IPA or solvent)
    • UV post-cure
    • Support removal
    • Sanding/finishing

Process Integration

  • ME-019: Additive Manufacturing Process Development

Input Schema

{
  "part_model": "CAD file reference",
  "material_requirement": {
    "type": "metal|polymer",
    "specific": "string (e.g., Ti6Al4V, Nylon 12)",
    "properties": "strength|stiffness|temperature|biocompatible"
  },
  "quantity": "number",
  "quality_requirements": {
    "tolerance": "number (mm)",
    "surface_finish": "string",
    "critical_features": "array"
  },
  "timeline": "prototype|production",
  "budget_constraint": "number (optional)"
}

Output Schema

{
  "process_recommendation": {
    "technology": "string",
    "material": "string",
    "machine": "string (if specific)"
  },
  "build_preparation": {
    "orientation": "description and rationale",
    "support_volume": "number (cm3)",
    "build_time": "number (hours)",
    "material_usage": "number (kg)"
  },
  "dfam_recommendations": [
    {
      "feature": "string",
      "issue": "string",
      "recommendation": "string"
    }
  ],
  "post_processing": "array of steps",
  "cost_estimate": {
    "material": "number",
    "machine_time": "number",
    "post_processing": "number",
    "total": "number"
  }
}

Best Practices

  1. Design for AM from the start, not as afterthought
  2. Understand process limitations before design
  3. Optimize orientation for quality, not just time
  4. Plan for post-processing in design stage
  5. Validate material properties for application
  6. Consider total cost including post-processing

Integration Points

  • Connects with CAD Modeling for geometry
  • Feeds into Material Testing for property validation
  • Supports DFM Review for manufacturability
  • Integrates with FAI Inspection for quality