Digital Twin Double-Take

Most OEMs aren’t embracing the idea of creating a digital twin for the machine, but the benefits—including design flexibility, faster time-to-market, and virtual training—deserve a second look.

Wearing virtual reality and augmented reality headsets, machine developers can interact directly with their model, free of distractions.
Wearing virtual reality and augmented reality headsets, machine developers can interact directly with their model, free of distractions.
B&R Industrial Automation

Tronrud Engineering, a Norwegian machine builder, faces the same problems as every other OEM in the world—its customers want more flexibility in the machine, and they want the equipment delivered faster and cheaper. But what sets Tronrud apart from other OEMs is that it has actually found a way to do all that.

In fact, the release of its latest packaging machine for the food industry, which can pack 300 flow-wrap bags per minute into boxes, was designed in 10% less time than usual and the company reduced the commissioning phase by 25%.

The secret to their success is twofold. First, it’s a group effort. “The main difference is in the way we work together,” says Erik Hjertaas, general manager packaging technology at Tronrud Engineering, who was speaking during the unveiling of the new high-speed TCP PN12 packaging machine at Hannover Messe 2019. “Historically, mechanical designers are in one part of the business and software engineers are in the other waiting for the designs to be ready. We put them together and everyone puts data into the same 3D model to cut the time-to-market. We work better together.”

But all of this chumminess wouldn’t be possible without the help of technology—the second part of the success story. Specifically, a combination of 3D computer-aided design (CAD) and simulation software that creates a digital twin of the machine.

A digital twin is a virtual model of a physical product or process. In manufacturing, a digital twin can be a dynamic virtual representation of an entire plant, or it can be focused on a single asset, like a machine.

At Tronrud, they were building a new packaging machine that works at twice the speed of the current model and can handle rapid product changeovers—all in the same footprint. The machine was evolving from pneumatic to full electric operation, and that meant that there would be fundamental changes in the way the machine needed to be designed in order to deliver a fast, compact system that can handle different types of packaging.

And, of course, it had to be fully tested—which Tronrud did with a digital model using Siemens technology, including NX Mechatronics Concept Designer (MCD), a multi-discipline integrated system engineering software, Simatic S7-PLCSIM Advanced, which enables realistic simulations of controllers without the real hardware, and the Totally Integrated Automation (TIA) Portal, a digital framework for mechanical and electrical design and automation engineering to test and identify failures before real commissioning takes place.

Testing machine functionality on a digital twin is a dramatic change from the way most OEMs test the design of a machine, which is by building a physical model of it. But when something fails on a physical prototype, it is a very expensive error.

“Error-related cost will increase by a factor of 10 as you go from one value-added level to the next,” says Colm Gavin, digitalization sales specialist, factory automation at Siemens, who was speaking about the digital twin during an Innovation Stage presentation at PACK EXPO Las Vegas. “But if you are sitting at a desk [working] in CAD and you find a mistake, it is cheap to fix it quickly.”

In addition, the Siemens technology takes simulation a step further by tying it to the automation system which may include virtual programmable logic controllers (PLCs) and human-machine interfaces (HMIs), thereby allowing the engineer to emulate how a machine will react in a variety of circumstances. And, the real advantage here, Gavin says, is a communication application programming interface (API) within TIA Portal that guarantees synchronous communication between the model and the PLC in order to simulate everything within the model, including programming and debugging.

“Many people will say a [virtual] PLC doesn’t do it, but in our case, we download a one-to-one match of what will go into the real PLC later,” Gavin says. “You are not forced into using the real hardware connected to the modeling software.”

For machine builders, this means there is more flexibility in the design and commissioning of products because the digital twin provides a riskless way to test different designs.

“Innovation is painful because the only way to learn is to fail,” Hjertaas says. “By introducing this virtual model, a digital twin of our machine, we can do all of our failing faster and do it virtually, which is cheaper. By putting data into the same model, we can learn from that and see things we need to improve on prior to building the machine.”

These are the digital days
Technology is heading in a highly-automated direction. To that end, there’s a phenomenon that Gartner is calling “hyperautomation,” which the firm rates as number one on the “Gartner Top 10 Strategic Technology Trends for 2020” report. According to the research and advisory company, hyperautomation deals with the application of advanced technologies, including artificial intelligence (AI) and machine learning (ML) to increasingly automate processes and augment humans. It’s a combination of tools that, while not the main goal, will often result in the creation of a digital twin of the organization (DTO), propelling real-time, continuous intelligence about the organization and driving new business opportunities.

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List: Digitalization Companies From PACK EXPO