Toward AI-enabled surface integrity control in machining of critical aerospace and medical components

Purpose and goal

The project aims to develop an AI-based capability for assessment of surface integrity in machining processes relevant to aerospace and medical components. The goal is to move beyond post-process inspection and isolated cases by integrating multi-sensor data to estimate surface integrity and near-surface material changes. The project seeks compatibility with existing machining setups and to establish a technical and collaborative foundation for a future Sweden–US demonstration platform.

Expected effects and result

It is expected to create a Sweden–US collaboration that enables fast and autonomous AI-based surface-integrity assessment in machining for aerospace and medical applications. By aligning partners, the project will allow to access the pre-existing machining data and multi-sensor information needed to develop advanced AI. The collaboration will clarify practical limits in transferring models across materials, tools, and cutting data, and provide a shared basis to address common challenges.

Planned approach and implementation

The project will first prioritize identifying and engaging industrial and academic collaborators that are critical for AI-driven surface analysis. Joint exchanges will map available processes, their limitations and expectations in aerospace and medical contexts. Based on this alignment, a common concept for integrating multi-sensor data with advanced AI methods into existing processes will be defined. Secure data sharing and scalable AI architectures will be emphasized to enable the development.