virtual representation of a corresponding physical product...cfd) design: prototype: production...

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A Digital Twin is a virtual representaon of a corresponding physical product Digital Twins are a technology for Industry 4.0 and for good reason: They can help with a wide variety of engineering tasks: Conceptual Development Will this product work if I build it? Virtual Commissioning How can we ensure a fast, successful system integraon? Online Diagnoscs Can we detect failures before they become serious? Smarter Designs Can we predict beer maintenance schedules, or replace physical sensors with virtual ones? 1 2 3 4 There are different ways to create a Digital Twin: Data-Driven Sensors provide large amounts of performance data that are used for predicve models. The Digital Twin is created aſter the product is operang. Sensor-based data makes it hard for accurate extrapolaons outside of common operang condions. Model-Driven System-level models use math and physics-based soſtware to simulate product performance. The Digital Twin is created alongside product development, adding insight early on. A high-fidelity model uses accurate physics to predict a wider range of product performance. Either type of Digital Twin can be used independently or combined together. The cost of finding design flaws late can be extremely expensive Issue Idenfied at: Producon: Concept-Level: Detailed (FEA/ CFD) Design: Prototype: Producon Design: Producon: 1x 2x 16x 64x 240x 800x 50- 100% can significantly reduce the risk of developing new, innovave products Using model-driven Digital Twins They can answer design feasibility quesons long before prototyping. They’re essenal for “virtual commissioning” – idenfying system integraon issues before the controllers and hardware are ever connected. Invesng 5-10% more budget into early design work can reduce overall project cost overruns by References: 1. hp://www.gartner.com/smarterwithgartner/gartners-top-10-technology-trends-2017/ 2. Adapted from: Forsberg, Kevin, Hal Mooz, and Howard Coerman. Visualizing Project Management. John Wiley & Sons. Hoboken, NJ. 2005. A Cybernet Group Company 2 1 2

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Page 1: virtual representation of a corresponding physical product...CFD) Design: Prototype: Production Design: Production: 1x 2x 16x 64x 240x 800x 50-100% can significantly reduce the risk

A Digital Twin is a virtual representation of a corresponding physical product

Digital Twins are a

technology for Industry 4.0 and for good reason:

They can help with a wide variety of engineering tasks:

Conceptual Development Will this product work if I build it?

Virtual Commissioning How can we ensure a fast, successful system integration?

Online Diagnostics Can we detect failures before they become serious?

Smarter Designs Can we predict better maintenance schedules, or replace physical sensors with virtual ones?

1

2

3

4

There are different ways to create a Digital Twin:

Data-Driven

Sensors provide large amounts of performance data that are used for predictive models.

• The Digital Twin is created after the product is operating.

• Sensor-based data makes it hard for accurate extrapolations outside of common operating conditions.

Model-Driven

System-level models use math and physics-based software to simulate product performance.

• The Digital Twin is created alongside product development, adding insight early on.

• A high-fidelity model uses accurate physics to predict a wider range of product performance.

Either type of Digital Twin can be used independently or combined together.

The cost of finding design flaws late can be extremely expensive

Issue Identified at: Production:Concept-Level: Detailed (FEA/CFD) Design: Prototype: Production

Design: Production:

1x 2x 16x 64x 240x 800x

50-100%

can significantly reduce the risk of developing new, innovative productsUsing model-driven Digital Twins

They can answer design feasibility questions long

before prototyping.

They’re essential for “virtual commissioning” – identifying

system integration issues before the controllers and hardware are

ever connected.

Investing 5-10% more budget into early design work can

reduce overall project cost overruns by

References:1. http://www.gartner.com/smarterwithgartner/gartners-top-10-technology-trends-2017/2. Adapted from: Forsberg, Kevin, Hal Mooz, and Howard Cotterman. Visualizing Project Management. John Wiley & Sons.

Hoboken, NJ. 2005.A C y b e r n e t G r o u p C o m p a n y

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