Core Components
┌─────────────────────────────────────────────────────────────────┐
│ AI Spring Design Engine │
├─────────────────────────────────────────────────────────────────┤
│ │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ Specification│ │ Torque & │ │ Equivalent │ │
│ │ Parser │───▶│ Stress Model │───▶│ Finder │ │
│ │ │ │ │ │ │ │
│ │ • OCR/PDF │ │ • FEA近似 │ │ • Cross-brand│ │
│ │ • NLP intent │ │ • Fatigue │ │ • Material │ │
│ │ • Param ext │ │ analysis │ │ subst. │ │
│ └──────────────┘ └──────────────┘ └──────────────┘ │
│ │ │ │ │
│ ▼ ▼ ▼ │
│ ┌────────────────────────────────────────────────────────┐ │
│ │ Supplier Capability Matching │ │
│ │ (Equipment, Materials, Lead Times) │ │
│ └────────────────────────────────────────────────────────┘ │
│ │ │
│ ▼ │
│ ┌────────────────────────────────────────────────────────┐ │
│ │ Instant Quote Generation │ │
│ │ (Real-time pricing with margin presets) │ │
│ └────────────────────────────────────────────────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────┘
Component Deep-Dives
#### 1. Specification Parser
Input: Hand-drawn PDF, photo, text description, or reference part number Output: Complete parametric specification with confidence scores
Technology:
- Vision transformer for diagram recognition
- Fine-tuned LLM for mechanical engineering language
- Confidence scoring for each extracted parameter
Accuracy targets: 95%+ on standard drawings, 80%+ on ambiguous sketches
#### 2. Torque & Stress Model
Physics-based core with ML acceleration:
- Classical formulas (Hooke's Law, Wahl's correction factor)
- Finite Element Analysis approximation (1000x faster than FEA)
- Fatigue life prediction using historical failure data
The ML advantage: Can predict failure modes that pure physics misses by learning from 50K+ historical production records.
#### 3. Equivalent Spring Finder
This is the killer feature. Buyers often need:
- "Same spring but in stainless instead of music wire"
- "Replace this broken spring — equivalent from any manufacturer"
- "Same specs but 20% cheaper"
How it works:
Index all supplier catalogs (normalized parameters)
Build similarity function across 15 dimensions
Rank by: specification match → quality rating → price → lead time