We use cookies to provide you with a better experience. By continuing to browse the site you are agreeing to our use of cookies in accordance with our Privacy Policy.
It’s common to hear the metaverse described as a 3D experience layer of the internet. The “industrial metaverse” is a more difficult concept to define. According to Forrester, it’s an umbrella term for a collection of different technologies. Some of those technologies have existed for years just waiting to come together.
Following a previous blog on the topic, Understanding the Industrial Metaverse, in this blog Stephen Graham, executive vice president and general manager, Nexus, takes an introductory look at the four building blocks, highlighting some of the key issues.
For this paper, the digital twin refers to a digital asset that exists alongside the physical asset during its operational life, providing insight into and feedback on the physical asset’s performance and health. Thus, the focus is on the DTI, with the potential to aggregate data into a DTA for the gearbox design being considered, and within the DTE set up by Hexagon.
In respect of the physical asset across its life, nothing is more important about its performance than its ability to function, i.e., reliability, and for CAE, nothing is of greater importance than to be able to predict the reliability of a product being designed. Thus, for this study, whilst gearbox noise, efficiency, and thermal behavior may be of interest, the primary interest is fatigue and reliability.
Durability requirements must be balanced with the need for lightweight and low-cost solutions which meet noise and vibration
targets whilst also exhibiting excellent efficiency.
When it comes to gear design software, the learning curve never ends. The leading vendors offer various training programs to keep their users well-informed.