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Smart Manufacturing: How AI Path Optimization Lifts Throughput 30%

2026-06-12 · 米德奈技術團隊
Smart Manufacturing: How AI Path Optimization Lifts Throughput 30%

Throughput is more than power

Many assume laser throughput depends only on power and speed. In reality, toolpath planning is just as decisive for output per hour. Stacked together, the optimizations below often yield a 20–30% gain.

1. Cut idle travel (rapid traverse)

Head moves between contours add no value. AI resequences cuts by nest layout to shorten total travel and reduce head up/down cycles.

2. Common-line cutting

Adjacent parts share one cut line — a single pass finishes both edges, reducing total cut length and pierces. The effect is dramatic on thin-sheet volume work.

3. Piercing strategy & micro-joints

  • Progressive piercing on thick plate reduces spatter and pierce time
  • Micro-joints hold parts to prevent tip-ups and head crashes, cutting downtime

4. Fly-cutting & data feedback

Arrays of small holes are done on-the-fly without stopping; each batch real parameters feed back into the library so the next same part number auto-applies the best recipe.

OptimizationMain benefit
Idle-travel resequencingTravel time ↓
Common-line cuttingCut length / pierces ↓
Fly-cuttingContinuous run, utilization ↑
Midnight in-house nesting and AI path engine integrate these strategies into one workflow — lifting daily output on existing machines without adding laser power.
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