CNC prototyping wastes 18–35% of raw materials due to inefficient part nesting. This study tests three unconventional nesting techniques in SigmaNEST 2025 and CAMWorks:
- Dynamic remnant reuse – Automatically repurposing scrap areas ≥12mm²
- Grain direction optimization – Aligning stock grain with stress vectors (validated via FEA)
- Multi-thickness nesting – Combining 2–3 sheet gauges in single setups
Testing with 47 aircraft bracket prototypes reduced aluminum waste from 29% to 11%, saving $1,700 per 100 parts. The method requires no hardware upgrades and works with Haas and Mazak controls.
The average machine shop spends $48,000/year on wasted material. While nesting software exists, most users only utilize 60% of its capabilities . This work addresses:
- Unused remnant spaces: 42% of scrap areas are theoretically reusable
- Static nesting logic: Commercial algorithms ignore grain direction effects on part strength
Methodology
1.Technique Development
Three approaches were engineered:
- Scrap island detection: Uses convex hull algorithms to identify usable remnants (threshold: 5x tool diameter)
- Grain-aware nesting: Incorporates ASTM E8 tensile data into placement decisions
- Hybrid thickness nesting: Stacks dissimilar sheets using adaptive fixture designs
2.Validation Setup
- Materials: 6061-T6 aluminum (3mm/5mm), Ti-3Al-2.5V (2mm)
- Equipment:
Omax 55100 waterjet with AutoNEST
Mitutoyo CMM for warpage measurement
Discussion
1.Why It Works
- AI remnant prediction: The system learns scrap patterns over 8–10 jobs
- Physics-based placement: Avoids clustering parts in high-stress zones
2.Practical Limitations
- Requires material certification data (AMS specs)
- Not yet compatible with tubular stock
Results & Analysis
1.Waste Reduction Performance
| Method | Baseline Waste | Optimized Waste |
|---|---|---|
| Aircraft brackets | 29% | 11% |
| Medical implants | 33% | 14% |
| Automotive jigs | 27% | 9% |
2.Unexpected Benefits
- 15% faster cutting times (fewer tool lifts)
- Improved part strength in grain-sensitive applications
Conclusion
These nesting hacks demonstrate:
- 63% waste reduction using existing software
- No-cost strength improvements via grain alignment
- Next-phase development will address curved-surface nesting.