Industry News

Laser Industry News — July 28, 2026: Recoil Force Depth Sensing, HSG TL3 PRO Tube Cutter, AI Vision in Lasers

July 28, 2026

Three stories caught my attention this week. Researchers at Chiba University found a way to measure how deep a laser cuts by tracking the recoil force — no extra sensors needed inside the cut. HSG Laser launched a tube cutter that handles everything from 20mm to 360mm in diameter on one machine. And the AI vision algorithms for laser welding keep improving, with two new approaches that work in real production environments.

1. Chiba University: Measuring Laser Cutting Depth by Recoil Force

Published in Optics and Laser Technology on July 27, this paper from Professor Hirofumi Hidai's team at Chiba University tackles a practical problem in laser dicing of semiconductor wafers — knowing when the cut is deep enough.

When a laser pulse hits a material, the rapid heating and vaporization creates a tiny reaction force on the surface. The team used a sensitive load cell to measure this recoil force during laser drilling on silicon samples with 25-nanosecond pulses. They found the force decreased in a predictable pattern as the cut got deeper, and shifted noticeably when the laser fully penetrated the wafer.

The key numbers: the method estimates processing depth with a relative error of 24.3%. That might sound high for precision work, but as a real-time indicator it's good enough to tell an operator when to stop — no need to stop production and inspect under a microscope.

The researchers believe this could reduce defective products in semiconductor manufacturing. Combining this sensing method with fiber laser cutting systems could lead to smart tools that adjust cutting conditions automatically, resulting in more consistent output and lower costs for electronics in smartphones, cars, and medical equipment.

2. HSG Laser Launches TL3 PRO Heavy-Duty Tube Cutter

HSG Laser announced the TL3 PRO on July 8. It's their next-generation heavy-duty tube cutting machine, and the headline feature is what they call 4+1 Full-Floating Twin-Chuck architecture. In plain terms — one machine that handles tubes from 20mm all the way up to 360mm in diameter.

That 360mm upper limit is worth noting. Competing high-end systems from European manufacturers like Trumpf and Bystronic typically top out around 290mm to 324mm. The TL3 PRO effectively covers the range of what used to require two or three machines.

Key specs:

Parameter	TL3 PRO	Typical Competitor Range
Tube diameter range	20-360mm	20-324mm
Max load capacity	1,600 kg	1,200-1,500 kg
Productivity improvement (12m tube)	35.45%	-
Cost reduction vs conventional	Up to 35%	-
Chuck architecture	4+1 Full-Floating Twin-Chuck	Standard twin-chuck

The simultaneous loading, cutting, and unloading feature cuts out the stop-and-start workflow of older systems. HSG claims it can reduce total processing costs by up to 35% for typical 12-meter heavy-duty jobs.

For buyers sourcing laser tube cutting machines, this kind of capability means fewer machines on the floor, higher utilization, and faster changeover between different tube sizes.

3. AI Vision Algorithms Pathabene and Recobene Advance for Laser Welding

Eurotec published an interview in July 2026 with Raphael Barcos (Mister-Laser) and Jacques Progin (Forthwood) about how their AI-powered industrial laser solution has evolved over the past year.

Their algorithm Pathabene determines the welding path itself rather than relying on operator-defined circular paths. The newer Recobene algorithm focuses on visual recognition and is 10 times faster than Pathabene. Both run on a single training server — customers can host it locally or access a secure server in Switzerland.

A direct comparison showed Pathabene correctly identifying weld geometry across light, dark, rough, and smooth surfaces — including chamfered pins and bores with varied finishes. Standard pattern matching failed on the same parts without lighting adjustments.

The practical takeaway: AI vision in laser welding is moving past the experimental stage. For shops doing high-mix, low-volume work — especially in precision industries like watchmaking, medical devices, and electronics — these tools mean less time spent on manual setup and inspection.

Pairing an AI-driven laser welding machine with automated vision is becoming a realistic option for shops that need repeatable weld quality across changing part geometries.

4. IPG Photonics FlexCell: Lowering the Barrier to Robotic Laser Welding

Sheet Metal Industries reported on IPG's FlexCell in mid-July. It's a robotic platform that supports both arc and laser welding on the same cell. The idea is straightforward: job shops can start with the process they need today and switch later without buying a whole new system.

The cell uses the same teach pendant programming, same operator workflow, and same loading/unloading as a standard robotic arc welding cell. The difference is underneath — laser parameters (power, travel speed, focal position) instead of arc parameters (voltage, amperage). IPG supplies pre-developed process parameters for each material and joint, so operators focus on running the job rather than trial-and-error tuning.

For fabricators who already run robotic welding, this approach makes laser welding feel like an upgrade rather than a completely new process. The upfront cost is closer to arc automation than to standalone laser systems, which lowers the risk for shops with changing contract volumes.

Frequently Asked Questions

How does recoil-force depth sensing work in laser cutting?

When a laser pulse heats and vaporizes material, the rapid expansion creates a minute reaction force (recoil). A sensitive load cell measures this force during processing. As the cut gets deeper, the recoil force decreases in a steady pattern. When full penetration occurs, the pattern shifts noticeably. Researchers at Chiba University demonstrated this with 25-nanosecond pulses on silicon, achieving depth estimation within 24.3% relative error — useful for real-time process monitoring. This technology could be integrated into fiber laser cutting systems for automated quality control.

What advantages does the HSG TL3 PRO offer over standard tube cutters?

The TL3 PRO handles tube diameters from 20mm to 360mm on a single machine — a wider range than most competing systems (typically up to 290-324mm). Its 4+1 Full-Floating Twin-Chuck architecture supports a 1,600 kg load capacity and enables simultaneous loading, cutting, and unloading. HSG reports a 35.45% productivity improvement on 12-meter heavy-duty tube processing and up to 35% cost reduction compared to conventional systems. For shops comparing options, our laser tube cutting machines offer different capability tiers depending on your production volume.

Can AI vision really improve laser welding precision in production?

Yes. The Pathabene and Recobene algorithms from Mister-Laser and Forthwood have been deployed in real production environments, not just labs. Pathabene determines weld paths autonomously across different surface conditions. Recobene performs visual recognition 10 times faster and identifies weld geometry correctly on light, dark, rough, and smooth surfaces where conventional pattern matching fails. Both run on a shared training server and are already used in precision applications like watchmaking. For production laser welding, this means less manual programming and more consistent weld quality across changing part runs.

How does the IPG FlexCell reduce risk for shops adopting robotic laser welding?

FlexCell supports both arc and laser welding on the same robotic platform. Shops can start with arc welding and switch to laser later — no need to buy a dedicated laser system upfront. The operator workflow (teach pendant, loading, production flow) stays the same. IPG provides pre-developed process parameters for each material and joint, eliminating trial-and-error tuning. The price point is closer to arc automation than standalone laser systems, making it a lower-risk entry point for job shops with changing contract requirements.

What does the Chiba University research mean for the laser cutting industry?

The research opens a path toward real-time process monitoring without add-on sensors inside the cut zone. By measuring recoil force at the surface, manufacturers can detect undercutting or overcutting during production rather than after inspection. This could reduce defective products in semiconductor dicing and precision component manufacturing. The team estimates a relative error of 24.3% in depth estimation — not laboratory-grade precision, but practical for production-level process control. Combining this with automated power adjustment could reduce waste and improve throughput in high-volume laser cutting operations.

Written by the FANY LASER team. Serving global industrial buyers since 2018. Connect on LinkedIn