Conference Agenda

Data transfer between non-conforming meshes arises in multiple engineering and scientific domains, yet existing methods often decouple interpolation from error assessment and lack a unified treatment of visualization and quality control. This paper presents MeshMapX (MMX), a methodological framework that integrates conservative interpolation, error metrics, interpolation analysis, and interactive visualization in a single environment. MMX is capable of diagnosing and exposing critical aspects of the transfer process that would otherwise go unnoticed. Built-in error metrics and mesh-map visualization provide direct feedback on conservation quality, spatial distribution of errors, and unmapped regions. An optimization module is also envisioned as part of the framework, though it remains under development. As a case study, MMX is applied to the transfer of electromagnetic load data onto the structural mesh of the DTT (Divertor Tokamak Test facility) divertor cassette, a representative multiphysics problem in nuclear fusion research. The analysis demonstrates how MMX successfully identifies the root cause of force balance discrepancies — namely, geometric differences between the source and target models — which would have been difficult to detect without integrated diagnostic tools. MMX offers a transparent and extensible solution for error-aware, conservative data transfer, independent of the specific physical domain.