Mon. Jan 24th, 2022


Alberto Ferrari, senior director of Model-Based Digital, says the real-world data-digital twins associated with product digital simulations provide valuable insights that help companies identify and solve problems before prototypes go into production. Thread processing power center at Raytheon.

“Like they say, ‘All models are wrong, but some of them are useful,'” Ferrari says “Digital twins, supported by data – as real data – is a way to identify models that are really useful for decision making.”

The concept has started with the growth of digital-twin technology and equipment market 58% per annum Will reach 48 48 billion by 2026, up from $ 3.1 billion in 2020. Using technology to create digital prototypes saves resources, money and time. Yet the technology is being used to mimic much more, from the urban population to the installation of new services in power systems.

Take manufacturers as diverse as possible Raytheon And Swedish distillery Absolute vodka, Who are using technology to design new products and streamline their production processes, through production from the supply chain and, ultimately, in recycling and disposal. Singapore, London, And Several cities along the Texas Gulf Coast Their community has created digital twins to address aspects of city management, including modeling traffic patterns on city streets, analyzing building trends, and predicting the effects of climate change. And companies like Bridgestone and drone service provider Zeppelin are using technology associated with operational data to help launch new services.

Companies have adopted digital twins as part of their digital transformation, a way to simulate performance, identify vulnerabilities and manage services more efficiently. Any company should explore digital ventures to see if certain aspects of its products, activities or environment can be emulated to gain insights.

Design and production simulation

The current digital-twin technology is based on computer-aided design (CAD) and computer engineering tools created more than three decades ago. These software systems allow engineers to create virtual simulations to test product design changes. Engineers design the components of a product, such as an airfoil, on a computer and then assign a modeler or sculptor to create the item in clay, wood or stock components for physical testing.

Today, the process has moved to the prototyping stage much later than the process, because the massive increase in computational power and storage not only allows the whole product to be prototyped but also other information can be combined, such as raw material information materials, materials required for production and product operation.

“If you look at those CAD and engineering tools from 30 years ago and look at them with a twinkle in your eye, you’ll see that these things were digital twins,” said Scott Bukhloz, chief technology officer at Government and Public Services and Deloitte’s emerging technology research director. Advice. “With the increase in power computing and storage, the ability to perform useful simulations has increased, and we have moved from less reliable rendering to high-fidelity simulation.”

The result is that digital-twin technology has taken various industries by storm. Manufacturers of expensive vehicles and infrastructure products shorten the design and development cycle, making space companies, car manufacturers and town planning agencies the primary recipients. Yet startups are also adopting the simulate-first mentality to quickly repeat product improvements.

A key advantage: The physical construction of digital twin prototypes has pushed far below the design pipeline. Nanda Kochhar, vice president of automotive and transportation industry at Siemens Digital Industries Software, says some companies are pursuing zero-prototyping initiatives with the goal of eliminating prototyping measures altogether and enabling direct production efforts.

That’s a huge change from the past. “The life cycle of developing a typical product was six to eight years,” Kochhar said of the automobile production. “The industry is working on it and now they have an 18-month or 24-month life cycle. Now, more reliance is placed on automaking software, which is becoming a determining factor in the life cycle. “

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