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Cobot Vision System Doubles Machine Shop Productivity

Nov. 2, 2017
During a small Mississippi machine shop's busy time, it turned to a lights out solution from Robotiq to meet demand without having to hiring and training a temporary CNC operator.

Mississippi's WALT Machine Inc. specializes in high-precision optical work for scientific camera assemblies. Each spring WALT Machine must meet a massive challenge: Deliver around 6,000 camera housings in 2 months' time, with only one CNC machine.

Being able to deliver this massive order in time implies that WALT Machine's president, Tommy Caughey, would need to hire a full-time CNC machine operator. By the time the new employee is fully trained and operational, the parts are almost delivered and his/her services will soon be no-longer needed.

To deal with short-term rise in production volume, Tommy Caughey started to look into a robotic based solution a few years back. "I saw Universal Robots at IMTS Trade Show maybe 4 or 6 years ago and I found it interesting: a robot that does not require any extra stuff, like jigs for example. I followed up throughout the years and thought that's where we needed to go one day."

One problem remained: He knew he needed either a vision system or a conveyer, to pick up the raw parts from the table. "Everyone told me that it's a very difficult process, that you need to have a person in your shop to do it," Caughey recalls.

A big plus when using a robot is the ability for it to continue production during unattended hours in the shop. This of course increases productivity since twice as many parts can be made in the same time.

In June 2016, Robotiq released the Plug + Play Wrist Camera made exclusively for Universal Robots. For the entrepreneur, this was a game changer. "I didn't need a vision expert anymore, I could do it myself. I bought the camera, and it's super simple. It takes about 10 minutes and your part is taught. "

Exclusively attached to UR robot, the Plug + Play Wrist camera is intuitive enough that anyone in the plant or shop can teach it for machine trending, assembly, and pick & place tasks.

It takes 30 to 45 minutes to machine one side of those camera housings. If you only work 8 hours a day. It will be several weeks of work to produce the order with one machine, and WALT could not afford that bottleneck. "So being able to run 15-20 hours a day and not having to hire anyone else is a major plus for us," says Caughey.

Since WALT Machine Inc. bought its robot, named Arthur, twice as many parts are being machined everyday. The CNC machining still takes the same time, but it's the number of operational hours that make all the difference. The company was able to save half the time in production by eliminating a lot of machine idle time.

The economics of a cobot visioning system makes a lot of  cents (and dollars). Walt Machine Inc. has doubled its production time by cutting its machine idle time, allowing the company to stay on track without spending a lot of time and money training and employing a worker they would only need for two months.

The contract in question needs to be completed within two months so there is a production rush to be able to deliver all the parts on time. A huge benefit when integrating a robot in the production line is that the machine can now run non-stop in this two month period. Tommy does not need to worry about training, extra salary, or employee retention between production rushes.

Tommy Caughey was also stressed about quality and consistency during unattended hours. "It's just about letting it go and accept the fact that it's gonna run for an extra 4-6 hours, that you're gonna go home and nothing's gonna break. And it's actually the case!"

Arthur's arrival among the team also allows long-time machinist Matthew Niemeyer to improve his skillset on the production floor. "First, I got to learn how to program the robot," Niemeyer explains.

Then, you have the robot loading the machine, but you're still doing all the fine tuning of it, such as the programming. But the remedial tasks of loading and unloading the machine is taken care for you, so you don't get worn out."

After training with the object teaching interface, the operator can walk away, or even go home, while the robot continues to stay productive.

When everything is running fine, in the factory, Matthew is able to focus on his new role at WALT Machine. The robot's arrival created an opportunity for him to upgrade as a sales representative in the team. "We can get more and more business into the shop, which will lead to more machines, more robots and a promising overall growth."

All of this wouldn't be possible without this first robot. Far from stealing jobs, Tommy Caughey truly believes that in 10 years, every small shop like his will have at least one robot. For him, this change happens for the same reason that so many changes happened beforehand in other industries.

 With the UR3, the Wrist Camera's focus range is 70 mm to ∞, and with the UR5, it's 2.76 in. to ∞.



"No one is yelling at a contractor for using an excavator instead of hundred men with shovels, he compares. I didn't fire anyone to do this. It just changes where the work is. Instead of having guys sitting here just putting parts in and out of the machine, they can do more quality-related stuff. They can check parts, clean, package them and even bring in more sales!"

And with a robot that doubles the production capacity, business opportunities are greater and orders are delivered on time. Foremost, with the satisfaction of WALT Machine's first integration project, they see these new business opportunities as a way to scale their robotics capabilities in their shop.

Robotic automation is intimidating for someone who never touched a robot before. Tommy Caughey is one of those entrepreneurs who started from scratch with his first robot. "I've programmed CNC machines and G-codes for 10 years, done XYZ positional and spatial stuff, but never explored robotics. When I got the robot, I did a little reading and it was pretty simple. There is a lot of help on the UR and Robotiq websites, with programming for example."

Find out more about the Robotiq Wrist camera HERE.

As for the vision system, Caughey was really impressed by the Robotiq Wrist Camera teaching methods. "Either you take your part and set it on the surface where you want to pick it and you take four snapshots of it in four different orientations. Or if it's something simple like a rectangular or a circular blank, you just set the dimensions of what you are picking and it knows."

The next step is to put 15 to 20 of the same unmachined parts on the table within the camera's field of view. The robot then rotates and looks over the table, takes one snapshot to see all the parts. For more accurate picking, it gets closer and takes another snapshot of the part it is about to pick. After, the robot places the part into the vice in the CNC machine. Then it sends a signal to the Haas CNC machine to press the start button.

"It is so easy, Caughey adds. We don't even have to teach waypoints because it only needs to look on this table for parts. We don't need a conveyor or any special fixturing. If you change parts, you just need to tell Arthur that you are looking for a different part and change the 2-Finger Gripper's closing setup, it's pretty simple. There isn't a lot of changeover so  that's why I like the camera-gripper combo."

This case study was submitted by Robotiq. To submit your own case study, please email [email protected] or Travis [email protected].