AM Workflow Expertise

Expertise service focused on the systematic implementation of additive manufacturing workflows, with emphasis on metal AM. The service addresses how data, models, machines, software, and validation steps are connected across the full lifecycle: design, simulation, process planning, execution, monitoring, post-processing, and analysis.

The work targets structural weaknesses common in AM environments: fragmented toolchains, non-reproducible parameter sets, ad-hoc data handling, unclear decision logic, and lack of feedback between experiment, simulation, and qualification. Solutions are based on formal workflow definition, clear interfaces between steps, and traceable data flow rather than tool-specific hacks.

Support includes architecture design, definition of digital threads, integration of simulation and experimental data, parameter management, automation strategies, and alignment with research or industrial objectives. The outcome is a coherent, scalable AM workflow that supports repeatability, knowledge retention, and technically defensible results in both research and production contexts.