ANSYS Twin Builder Empowers Companies to Optimize Product Operations

Latest release adds new predictive maintenance features.

Latest release adds new predictive maintenance features.

Image courtesy of ANSYS.

ANSYS offers the latest release of ANSYS Twin Builder. The comprehensive solution enables users to provide preventive maintenance for operational field assets while enabling the creation of new business models and accelerating next generation product development, according to the company.

ANSYS Twin Builder enables equipment operators to create a virtual representation, a digital twin, of machines that helps monitor performance and maintenance requirements, improving the machine’s sustainability and efficiency, the company notes. At ANSYS 2019 R1, ANSYS Twin Builder supports digital twin runtime generation capabilities and model export for industrial internet of things platforms. The update empowers users to unlock actionable insights from field asset data through the use of physics and simulation-based analytics. 

Image courtesy of ANSYS.

The new release of Twin Builder 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.

Image courtesy of ANSYS.

“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.”  

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