Bridging Data to Geometry with Implicit Modeling

CDFAM Computational Design Symposium — Barcelona 2026

Wesley Essink · Siemens Digital Industries Software

Engineering design is increasingly shaped by diverse sources of data (e.g. scans, images, measurements, simulation, requirements, reference geometries etc.). Traditional geometry modeling approaches often struggle to integrate these datasets in a flexible and scalable way. Implicit modeling offers a powerful alternative: a geometry representation that naturally incorporates engineering data into the modeling process as spatially varying fields capable of driving local and global design behavior.

This presentation explores how Simcenter Inspire leverages implicit modeling to create robust, data-driven design workflows. Showcasing methods for linking complex data inputs directly to geometric parameters, enabling both automated design optimization and fine-grained user control.

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