{
  "id": "lib-process:mechanical-engineering--fatigue-life-prediction",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "fatigue-life-prediction",
    "description": "Fatigue Life Prediction - Assessing component durability under cyclic loading using\nstress-life (S-N), strain-life (epsilon-N), or fracture mechanics approaches, including load\nspectrum development and damage accumulation analysis per Miner's rule.",
    "libraryPath": "library/specializations/domains/science/mechanical-engineering/fatigue-life-prediction.js",
    "specialization": "mechanical-engineering",
    "references": [
      "- Deformation and Fracture Mechanics: https://www.wiley.com/en-us/Deformation+and+Fracture+Mechanics+of+Engineering+Materials\n- Shigley's Mechanical Engineering Design: Chapter 6 - Fatigue Failure\n- SAE Fatigue Design Handbook: https://www.sae.org/\n- FKM Guideline: https://www.vdma.org/"
    ],
    "example": "const result = await orchestrate('specializations/domains/science/mechanical-engineering/fatigue-life-prediction', {\n  projectName: 'Crankshaft Fatigue Analysis',\n  componentName: 'Main Bearing Journal',\n  material: { name: 'Steel 4340', Su: 1100, Sy: 1000, Se: 450 },\n  loadSpectrum: [{ amplitude: 300, cycles: 1e6 }, { amplitude: 450, cycles: 1e4 }],\n  geometry: { Kt: 2.1, notchRadius: 2.5 }\n});",
    "usesAgents": [
      "general-purpose"
    ]
  },
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      "attributes": {
        "weight": 1
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        "weight": 0.7
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    },
    {
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      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
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        "weight": 1
      }
    },
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      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:mechanical-engineering--fatigue-life-prediction",
      "to": "workflow:experiment-design",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
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}