Laser Welding Automation Helps You Evolve
For years, TIG welding served Space Age Electronics well and it gave us clean, cosmetic welds. That’s exactly what our fire safety systems demanded, especially in public-facing installations. But as our catalog grew and turnaround expectations tightened, we hit a wall.
TIG welding was precise, yes—but it was also labor-intensive. Skilled welders were pulled in every direction, and cycle times weren’t keeping pace with demand. Scaling with just workforce alone wasn’t manageable. We needed something faster that could deliver the same precision—or better.
That’s when we started looking seriously at laser welding automation.
Our First Step: Robotic TIG Welding
Back in 2017, we dipped our toes in automation with a TIG welding robot.
We hoped it would ease the load on our welders, reduce fatigue, and support weld quality while improving throughput. In theory, it was a solid idea. But in practice, we ran into the realities of early-stage robotic welding:
- Heat-affected zones proved hard to manage.
- Seam tracking wasn’t consistent.
- Fixturing caused part-to-part variability.
- And worst of all—manual grinding was still needed.
What we got was a system that helped, but didn’t fully solve the problem. Still, this phase gave us the insight we needed to pursue something better.
The 2024 Breakthrough: Fiber Laser Welding Automation
Fast forward to 2024. That’s when we made a pivotal shift—upgrading to a fiber laser welding system from AMADA.
Unlike TIG, which relies on filler material and extended torch times, laser welding used autogenous, conduction-mode welds. That means no filler, less heat, and far cleaner results.
Suddenly, everything changed:
- Welded parts needed no grinding or secondary cleanup.
- Corners came out shiny and smooth—ready for powder coating.
- We went straight from weld to final assembly with zero delay.
This wasn’t just faster—it was transformational.
Why Laser Welding Automation Worked for Us
The win didn’t come from the robot alone.
Success came from how we integrated the technology with smart engineering. Our team focused on getting every detail right:
Precision Fixturing
We built dedicated fixtures that held tolerances within ±0.005 inches. That kind of control ended part shift and ensured uniform results.
Joint Design Optimization
We used half-lap joints and designed geometries with automation in mind. Fewer gaps meant smoother seams and no filler needed.
Program Flexibility
Our robotic programs weren’t static. We adjusted paths and parameters based on material thickness, edge prep, and even steel lot variation.
The result? A stable, repeatable process that runs all day with minimal oversight.

The Ripple Effect on Our Production Line
Implementing laser welding automation didn’t just improve welding—it reshaped how we work.
Here’s what changed:
- Shorter Lead Times: With no grinding or rework, parts move faster.
- Increased Throughput: Weld times dropped dramatically, boosting capability.
- Higher Skill Utilization: Welders now tackle more challenging builds and process development.
- Better Quality Consistency: Every part meets spec—no touch-ups needed.
Welding stopped being a bottleneck. It became an enabler for scale.
Lessons from the Journey
The transition from manual TIG to laser welding automation wasn’t just about speed. It was about smart decisions at each step:
- Our 2017 experience taught us where robotic TIG hit limits.
- We avoided repeating mistakes by focusing on fixturing, joint design, and robotic flexibility.
- We prioritized total workflow integration—not just isolated tech upgrades.
Now, laser welding is one of the most efficient, consistent processes on our floor. It opened doors to new product capabilities and freed us up across the board.
What’s Next?
Part 3 of this series will dive into how we’re using robotic press brakes to scale bending without sacrificing precision. Just like welding, bending has unique challenges that automation can solve—but only if applied with strategy and care.
Stay tuned. Every piece of our automation journey ties together—and the results speak for themselves.
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