The Xiris Blog

Using Weld Cameras For Torch Alignment

Posted by Catherine Cline on Tuesday, August 16, 2016 @ 11:09 AM

When Xiris demonstrates its weld camera systems, one of the unexpected benefits an operator notices right away is the ability to quickly align the torch and seam.   Xiris weld cameras have integrated LED’s that provide a nice bright image of the seam and torch prior to starting the weld process.  Before we begin our demonstration, we ask the operator to align the torch and the seam which is usually done manually with a visual check.  Once we are told the system is aligned, we ask the operator to look at the computer screen and, 90% of the time, the torch and seam are misaligned.  The operator then begins to use the weld camera system right away to achieve perfect alignment on a consistent basis.

Here are three videos that demonstrate the alignment process.  In these examples the manufacturer has installed a positioning sensor on the robotic arm which is meant to ensure perfect torch alignment during each weld and the operator simply verifies the alignment prior to welding.

Operator Alignment:

The positioning sensor and the operator have misaligned the torch, resulting in a bad weld.

 

 

Weld Camera Assisted Alignment:

The operator has used the weld camera system to verify the alignment and you will see the adjustments that were made after the robot had been aligned.  Not only do the cameras ensure accuracy, the operator can perform the alignment quickly, right from the console rather than bending, stretching or climbing up on to the equipment to achieve proper alignment.

 

 

 

 

 

 

 

 

 

 

 

For more information on how Xiris Weld Cameras can ensure accurate alignment of your torch and weld seam, visit Xiris.com

Topics: quality control, weld camera, welding, High Dynamic Range, productivity, color weld camera, weld seam, weld seam alignment

Weld Revolution Uses the Xiris Color Weld Camera

Posted by Catherine Cline on Tuesday, July 05, 2016 @ 02:00 AM

 

 

Last week Xiris Automation was given the opportunity to work with the team at Weld Revolution and record some footage with the new XVC-1100 color camera.   

Weld Revolution’s SpinArc® welding torches utilize a high speed rotating weld arc to enable the welding of all metals in any position using either metal-cored or solid wires in spray transfer or pulse modes.  

The unique stirring action delivers clean robust welds and is extremely effective for narrow groove welding.  The above video, captured with the XVC-1100 color weld camera, shows how smooth and consistent the SpinArc® process welds as it travels down a 3” deep groove and as a result, the weld bead typically requires little or no beveling.

Even with the incredible brightness of the arc and the outer walls of the narrow groove, the XVC-1100 colour camera was able to automatically adjust and deliver an excellent picture with detail of the melt pool, side wall tie-in, alignment, heat effected zone, and even wire spin.

   
For more information on how Xiris Weld Cameras can help with your Orbital Welding applications, visit Xiris.com

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Topics: quality control, weld camera, welding, High Dynamic Range, weld pool, productivity, color weld camera

Xiris Weld Cameras in Long-Distance Pipeline Manufacturing

Posted by Dean Zhao on Tuesday, May 10, 2016 @ 02:30 AM

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The manufacturing of long-distance pipelines for the oil and gas industry uses automated orbital welding systems to join together each piece of pipe to the main pipeline.  During the welding process, the operator needs to monitor the wire-feed position and the molten puddle in real-time to ensure weld quality and inspect for the presence of weld defects as the orbital welding system is moving.  Since the weld torch rotates 360° around the pipe and the operator has to follow the weld torch while wearing a weld helmet, monitoring the weld is both labor intensive and potentially hazardous.  As a result, it is sometimes difficult for the operator to properly focus on the welding process.

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Using Xiris’ high resolution and high dynamic range weld camera, operators can sit beside the automated orbital welding system while remotely monitoring the weld arc, molten puddle, feed wire, and other important information that relates to the quality of the weld.  The Xiris Weld camera includes software with crosshair graphics which can help the operator to align the weld process within the groove between the two pipes.

The Xiris weld camera can greatly reduce the physical strain of weld monitoring while improving the safety of the work environment, allowing operators to comfortably focus on the quality of the welding.  The result is that the Xiris weld camera can help improve the overall welding process in pipeline manufacturing and reduce the re-work required.

Watch sample video output from the Xiris weld camera:
 
 
   
Camera Monitoring of Orbital Welding            
 
 
 
Camera Monitoring of Orbital Welding with Crosshairs 
 
 

For more information on how Xiris Weld Cameras can help with your Orbital Welding applications, visit Xiris.com

Topics: quality control, weld camera, Xiris, welding, High Dynamic Range, Tube and Pipe welding, weld pool, productivity, orbital welding

Detecting Slag Build-up on Ferrite Casings in Pipe Mills

Posted by Cornelius Sawatzky on Tuesday, April 26, 2016 @ 02:00 AM

 A major challenge in producing good quality pipe on a welded Pipe Mill is the build-up of slag on the ferrite bundle used inside the pipe. Slag is a mixture of metal oxides and silicon dioxide that is a byproduct of separating the steel from its raw ore.  Ferrite bundles are typically placed inside the pipe to help concentrate the electrical radiation towards the seam to be welded.  During welding, slag can drip down from the molten metal at the edges of parent material, building up deposits on the ferrite bundle casing surface inside the pipe.  The result is a potential reduction in power concentration at the weld point, which could lead to weakened pipe welds.  Known as a “Ferrite breakdown”, it needs to be identified early in the weld process in order to avoid poor welds from making their way down the line or out the door to the customer.

Ferrite_Bundle.pngFerrite Bundle for large Pipe

(courtesy www.piecsa.mx)

 One obvious solution would be to periodically stop the mill and open up the pipe and visually inspect the casing; this of course is not always a feasible or desirable solution.  A better approach to identify changes over time is by monitoring the shape of the weld bead. This can be done by operators who might visually inspect the scarf coming off the tube for signs of change and or abnormalities.  However, as slag could build up on the surface of the ferrite bundle casing which is inside the welded pipe, it is difficult for the operator to notice any slag buildup.

A better solution would be to use a laser based profile measurement system such as the Xiris WI3000.  By using a precise laser with a high speed camera, multiple images of the weld bead and its immediate area can be taken.  The shape of the weld bead can then be automatically analyzed for potential defects.

If there is slag buildup on the surface of the ferrite casing and less power makes it to the seam of the pipe, the top of the weld bead may become flatter or even concave as a result of reduced weld power concentration.  Visually it may appear to the operator as a “pasty” weld and we like to call it a “freeze line” defect.

When monitoring the weld bead using a laser profile of the weld zone complemented with some real time geometrical measurements, the operator can be alerted to the freeze-line condition defect much sooner.  As seen in the picture below taken from the screen of a WI3000, the operator is provided with a magnified view of the weld zone readily visible from afar.  In this view the weld bead is starting to flatten and if it becomes concave, the operator would be alerted before a potential faulty weld is generated.

 

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Screenshot from the Xiris WI3000 Laser Inspection System

The shape of the weld bead on an ERW pipe mill can provide much information.  In particular, if a laser based profile measurement tool is used, such as the WI3000 from Xiris, early detection of defects such as freeze line can be made.  Such defects often occur as a result of a reduction of power making its way to the weld zone resulting in incomplete heating of the weld bead. By providing early warning of such defects, operators can correct the problem before it becomes a critical failure.

For more information on how WI3000 can help reduce ferrite breakdown in your tube mill, visit Xiris.com

Topics: quality control, weld camera, Laser welding, Xiris, welding, High Dynamic Range, weld pool, productivity, slag buildup

Using a Trigger Signal on a Weld Camera

Posted by Cameron Serles on Tuesday, March 15, 2016 @ 06:00 AM

 

   Traditionally, cameras that have been used to record images of various welding processes are implemented with a free running image trigger.  This means that images from the camera are acquired as fast as the camera can send them, and only when the camera can send them.  However, with a digital Weld camera, such as the Xiris XVC-1000, images can be acquired from the camera when given the signal to do so via the image trigger.  This creates an opportunity to tie the image acquisition to a specific event.  A typical example of such an event is during a laser weld cycle where the laser power may take several milliseconds to ramp up to full power or to form a keyhole and then, once at full power, may be pulsed to achieve a particular welding effect.

   In any of these situations, it can be interesting to acquire an image at a very specific point in time to see a specific feature.  This can be done very precisely with the XVC-1000 using an external trigger signal generated during a specific event, such as the point when laser power peaks during a cycle.  When combined with a programmable exposure time, images of very specific events, such as only during laser on during a pulsed laser application, can be acquired.

    In other types of welding, such as pulsed GTAW, a trigger could be sent at a particular point for each pulse, which when combined with a programmable delay and programmable exposure time, would allow image acquisition to take place at a very specific point in the weld cycle.  The benefit is the ability to view the weld pool consistently during a high or low point in the weld cycle and monitoring how it would grow or shrink over time.  Another benefit would be for wire fed welding, where the effect of the weld pulse on the wire position as it enters the weld pool could be monitored.

   In GMAW processes, the image trigger could be aligned with a specific voltage or current event during the wire contact/expulsion cycle.  By acquiring an image at exactly the same point in the weld power cycle, it is possible to study how droplet formation and transfer rates change over time.

   Lastly, for alternating polarity welding applications, an image trigger signal could have great value in assisting the operator in setting up the weld torch and determining the ideal weld parameters for each polarity by triggering only on that portion of cycle when the power conditions are met.

 An example of a free-running video versus a triggered video.  Note: the triggered image acquisition for this video was done at a slow rate, of about 2 Hz.

Conclusion

   The use of a trigger signal can greatly improve the quality of images of most welding processes when using a camera such as the Xiris XVC-1000.  By clamping the trigger to a specific power event, images can be acquired at a precise point in the weld cycle, allowing for better set up and diagnostics of the welding process.

For more information on how Xiris Weld Cameras can help monitor your weld processes, visit Xiris.com 

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Topics: quality control, weld camera, Laser welding, High Dynamic Range, productivity, Laser cutting

Using Area of Interest (AOI) to Achieve High Frame Rates with a Weld Camera

Posted by Cameron Serles on Tuesday, March 01, 2016 @ 06:00 AM

 

  All digital cameras, including the Xiris XVC-1000 Weld Camera, have a digital output signal that is limited by the speed at which data can stream out of the camera.  This limits the frame rate of the camera and is a function of the frame size of the camera.  For the XVC-1000, the camera can output 55 frames per second at full resolution of 1280 x 1024 pixels.  However, it is possible to create a faster frame rate by reducing the size of the image, or Area of Interest (AOI).  For example, if the height of the AOI is cut to half the full frame image size, then the frame rate can run twice as fast, e.g. approximately 110 frames per second, or if cut to a quarter its height, the frame rate will be over 200 frames per second.  If a very small window is made that could see a small weld process such as a laser spot and a thin weld, the frame rate could run up to 1000 frames per second.  This can be very useful in certain situations where features of very short duration need to be monitored.

   As an example, many industrial laser welding processes have their laser powered ON for very short durations, usually far less than 2 seconds.  This would require a higher speed imaging capability to see exactly what was happening on the weld.  As the Area of Interest in a laser process is a long thin rectangular area – typically the weld spot, the seam and a narrow weld pool, reducing the AOI can sometimes be done on a laser process to good effect.  The result is a high speed image capture that captures the detail of the laser spot and immediate area around it.

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Using the AOI to create a Faster Image

 Summary

   A digital Weld Camera with Area of Interest capability can be used to image very small, narrow regions of interest at high speeds by reducing the Area of Interest of the camera.  As such, Weld Cameras can be used as a valuable tool for set up and alignment of high speed laser processes. 

For more information on how Xiris Weld Cameras can help monitor your weld processes, visit Xiris.com 

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Topics: quality control, weld camera, Laser welding, High Dynamic Range, productivity, Laser cutting, AOI

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