Field Engineering Report: Implementation of Heavy-Duty Collaborative Robotics in Bursa’s Industrial Corridor
This report details the technical deployment and optimization of high-payload Cobot Welding Machine units within a Tier-1 automotive and heavy machinery fabrication facility in Bursa, Turkey. The objective was to transition high-volume Carbon Steel welding tasks from manual stations to semi-automated cells leveraging Collaborative Robotics. The following observations were recorded over a 14-day commissioning period, focusing on duty cycles, metallurgical integrity, and the practical synergy between human operators and robotic precision.
The Industrial Context: Bursa’s Manufacturing Shift
Bursa serves as the epicenter of Turkish automotive manufacturing. In districts like Nilüfer and the Demirtaş Industrial Zone (DOSAB), the demand for high-deposition welding on structural carbon steel has historically outpaced the supply of certified 6G welders. Traditional industrial robots, while fast, require extensive floor space for safety fencing and specialized PLC programming skills that many local job shops lack. This is where Collaborative Robotics provides a distinct advantage. By allowing the Cobot Welding Machine to operate in proximity to personnel without physical guarding (subject to risk assessment), we reclaimed 40% of the floor space previously dedicated to antiquated robotic cells.
Technical Integration of the Cobot Welding Machine
The system deployed consists of a 10kg payload collaborative arm integrated with a 400A liquid-cooled GMAW (Gas Metal Arc Welding) power source. Unlike light-duty cobots, this “Heavy-Duty” variant features enhanced joint rigidity to handle the torque of a water-cooled torch and a 5-meter lead set without losing positional repeatability.

Hardware Interfacing and Signal Logic
The primary technical challenge in Bursa was the integration of the cobot’s control software with the power source’s weld library. We utilized a Modbus/TCP gateway to allow the cobot to call specific “Job Numbers” from the welder. This ensures that the Cobot Welding Machine isn’t just a “torch mover” but a process controller. For Carbon Steel welding, parameters such as wire feed speed (WFS), voltage, and inductance must be dynamically adjusted during corner transitions to prevent burn-through or lack of fusion.
Lessons Learned: Grounding and EMI
In older manufacturing facilities in Bursa, electrical noise (EMI) is a significant factor. We encountered erratic encoder feedback on the cobot during high-amperage spray transfer runs.
Action Taken: We implemented a common-point grounding strategy, separating the welding return path from the cobot’s logic ground. Always ensure the welding ground clamp is as close to the arc as possible to prevent “stray current” from seeking a path through the cobot’s sensitive electronics.
Deep Dive: Carbon Steel Welding Parameters and Metallurgy
The project focused on S355JR structural steel, a common grade in Turkish heavy industry. Carbon Steel welding with a cobot requires a different approach than manual welding, particularly regarding heat input management.
Optimizing the Weld Procedure Specification (WPS)
For 8mm fillet welds on 12mm plate, we moved away from standard short-circuit transfer to a pulsed-spray regime. The Cobot Welding Machine provides the travel speed consistency (Vw) that a manual welder cannot maintain over a 2-meter seam.
- Wire: 1.2mm ER70S-6
- Gas: 82% Argon / 18% CO2 (Bursa local supply)
- Travel Speed: 35 cm/min
- Current/Voltage: 280A / 30V (Pulse Mode)
The Collaborative Robotics framework allowed the operator to stand within arm’s reach (wearing appropriate PPE) to monitor the puddle. This “human-in-the-loop” oversight is critical when dealing with the slight plate variations and fit-up gaps common in heavy carbon steel fabrication.
Managing Thermal Distortion
A recurring issue in the Bursa facility was plate warping. High-deposition Carbon Steel welding introduces massive heat. Because the Cobot Welding Machine is relentless, it doesn’t allow for the natural cooling breaks a manual welder might take.
Solution: We programmed a “Stitch and Backfill” sequence. The cobot welds a 200mm segment, moves to the opposite side of the workpiece to balance the heat, and returns. This sequence is easily programmed via the cobot’s teach pendant, a task that would take hours in a traditional G-code-based robot.
The Synergy of Collaborative Robotics and Human Expertise
The true value of Collaborative Robotics in a field setting like Bursa is the democratization of automation. A senior welder who has spent 20 years on the floor knows exactly how the puddle should look. By using a Cobot Welding Machine, that welder’s expertise is “recorded” through lead-through programming (physically moving the robot arm to define the path).
Operator Adoption in the Bursa Workshop
Initial resistance from the local workforce was mitigated by demonstrating that the cobot handles the “dirty and dull” aspects of Carbon Steel welding—specifically the long, straight seams and repetitive circular bungs. The operators now focus on fit-up, tacking, and final QC. The synergy is realized when the operator uses the “Hand Guide” mode to quickly adjust for a poor fit-up on a specific part without needing to call a robotics engineer from Istanbul.
Lessons Learned: Torch Angle and CTWD
In Carbon Steel welding, the Contact Tip to Work Distance (CTWD) is paramount for arc stability. We found that the cobot’s precision often highlighted inconsistencies in the shop’s part jigging.
Action Taken: We integrated a basic “Touch Sensing” routine. Before the arc ignites, the Cobot Welding Machine uses the welding wire to touch the plate at three points to find the work plane. This ensures that even if the Bursa-fabricated jig is off by 2mm, the robot compensates automatically.
Performance Metrics and ROI Analysis
After two weeks of operation in Bursa, the data shows a significant shift in productivity.
1. Arc-on Time: Increased from 25% (manual) to 65% (cobot).
2. Consumable Waste: Reduced by 15% due to optimized wire-feed starts and stops.
3. Rework Rate: Dropped from 8% to under 1.5%, primarily by eliminating “operator fatigue” errors at the end of the shift.
Maintenance Requirements for Heavy-Duty Cobots
The Bursa environment is dusty. The Cobot Welding Machine requires a daily preventative maintenance (PM) schedule that differs from traditional tools. We instructed the local team on “Wrist Axis” inspections. The fine metallic dust from Carbon Steel welding and grinding can be abrasive to the cobot’s joints. We implemented a positive-pressure sleeve (robot jacket) to protect the Collaborative Robotics hardware from the harsh Turkish workshop atmosphere.
Conclusion: The Future of Fabrication in Bursa
The implementation of Collaborative Robotics for Carbon Steel welding in Bursa is no longer a luxury—it is a necessity for maintaining global competitiveness. The Cobot Welding Machine bridges the gap between the high-flexibility requirement of local job shops and the high-productivity requirement of the global automotive supply chain.
The key takeaway from this field assignment is that success depends less on the robot’s software and more on the integration of welding fundamentals into the robotic path. When the Cobot Welding Machine is treated as a sophisticated tool in the hands of a master welder, rather than a replacement for one, the results in Carbon Steel welding are unmatched in terms of bead geometry, penetration, and structural integrity.
Final Recommendation
For future deployments in the Bursa region, I recommend a standardized “Quick-Swap” jigging system to minimize the idle time of the cobot. The synergy between man and machine is only as efficient as the material handling that supports it. Collaborative Robotics has proven its durability in the Turkish industrial sector; the next step is scaling these units into multi-arm “zones” managed by a single technician.
Signed,
Senior Welding Engineer
Bursa Field Office
Advanced Programming: OLP vs. Teaching-Free System
For large-scale gantry welding, manual "point-to-point" teaching is inefficient. PCL offers two cutting-edge solutions to minimize downtime and maximize precision. Understanding the difference is key to choosing the right automation level for your factory.
Off-line Programming (OLP)
OLP allows engineers to create welding paths in a 3D virtual environment using CAD data (STEP/IGES).
- Zero Downtime: Program the next job on a PC while the robot is still welding.
- Collision Detection: Simulates the gantry movement to prevent accidents in a virtual space.
- Best For: Complex workpieces with high repeat rates and detailed weld joints.
Teaching-Free Welding System
Uses 3D laser scanning or vision sensors to "see" the workpiece and generate paths automatically without any CAD data.
- Instant Setup: No manual coding or 3D modeling required; just scan and weld.
- High Flexibility: Ideal for "One-off" parts where every workpiece is slightly different.
- Real-time Adaptation: Automatically compensates for thermal distortion and fit-up gaps.
- Best For: Custom fabrication, repairs, and low-volume/high-mix production.
| Feature | Off-line Programming (OLP) | Teaching-Free System |
|---|---|---|
| Input Required | CAD 3D Models | 3D Laser Scanning |
| Programming Time | Minutes to Hours (Off-site) | Seconds (On-site) |
| Ideal Production | Mass Production / Batch Work | Custom / Single Unit Work |
-

LT240S tube laser cutting machine
-

LT120S tube laser cutting machine
-
Sale

Tank Fillet Welding Machine
$1,000.00Original price was: $1,000.00.$900.00Current price is: $900.00. -
Sale

MAK100 tube laser cutting machine
$5,500.00Original price was: $5,500.00.$5,000.00Current price is: $5,000.00. -

portable plasma air cutting machine
$1,200.00 -

2in1 fiber laser cutting machine
-

Air cooling Laser welding machine
-

HF h beam laser cutting machine
-

LT240 laser cutting machine
-

Laser welding machine
-

Cobot Welding Station
-

Gantry welding robot solution
-

Tracked Wheeled AGV Welding robot
-

LFH6020 Fiber laser cutting machine
-

LFP6020
-

robotic welidng machine













