Publication
Using In-Process Workpieces and Asset Administration Shells for Chaining Machining Skills
Andreas Wagner; Tatjana Legler; Martin Ruskowski
In: Procedia Computer Science, Vol. 253, Pages 2841-2848, ELSEVIER, 2025.
Abstract
This paper presents a comprehensive approach to integrating in-process workpieces (IPWs) within skill-based manufacturing frameworks. Skill-based approaches allow for flexible production setups, with capabilities used to align product requirements with machine capabilities to create suitable production plans. However, accurate simulations of these plans require precise input data, specifically the actual state of the product, necessitating the use of detailed 3D models rather than simple bounding boxes. This research demonstrates how the concept of IPWs, commonly used in CAM-based manufacturing, can be adapted for skill-based production. IPWs facilitate the tracking and transfer of the current state of the workpiece throughout various machining skills, ensuring accurate feasibility checks and error-free execution. The proposed method leverages the Asset Administration Shell (AAS) to manage and exchange data, including IPWs, across different stages of production. A prototype implementation illustrates the feasibility of this approach, highlighting its potential to enhance the accuracy and reliability of production processes. The findings indicate that while the integration of IPWs is promising, further research is needed to address challenges related to collision simulations and the embedding of additional intelligent manufacturing functionalities. Future work will focus on refning the architecture of manufacturing skills and expanding the scope of IPW applications.