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Digital twin software adds new predictive maintenance features

Digital twin software adds new predictive maintenance features

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By Rich Pell



The latest release of ANSYS Twin Builder, says the company, enables users to provide seamless preventive maintenance for operational field assets while enabling the creation of new business models and accelerating next-generation product development. The software enables equipment operators to create a virtual representation (or digital twin) of machines through the use of physics and simulation-based analytics that helps monitor performance and maintenance requirements, improving the machine’s sustainability and efficiency.

With ANSYS 2019 R1, ANSYS Twin Builder supports digital twin runtime generation capabilities and model export for industrial IoT platforms. The new release, says the company, also enables users to more easily reuse existing 3D simulation models through reduced order modeling capabilities – preserving the accuracy of simulations while reducing storage requirements and enhancing simulation speed by up to 100x.

Users can quickly modify digital twin models of deployed assets and mirror altered or upgraded field equipment, such as pumps, motors, and turbines, to better perform predictive maintenance.

“Digital twins are expected to unlock significant value for organizations by increasing operational efficiency, empowering new and more profitable business models and enabling early adopters to leapfrog competition,” says Sameer Kher, Director, Product Development, Systems and Digital Twins, ANSYS. “ANSYS Twin Builder enables users to quickly build, validate and deploy simulation-based digital twins – improving both top and bottom-line operations.”

Ansys

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