Open-Source Framework for Automated Milling Experiments: G-Code Adaptation and NC Data Acquisition with Siemens Industrial Edge
Year: 2025
Type: conference-paper
Abstract: In modern manufacturing, precise monitoring and control of milling processes are critical for ensuring process stability and efficiency. This paper introduces an open-source framework leveraging Siemens Industrial Edge technology to automate complex milling experiments while simultaneously acquiring NC signal data. A Python-based application enables dynamic G-code adaptation, facilitating autonomous stability investigations and beyond. Stability lobe diagrams are generated as an exemplary case study, demonstrating the feasibility of automated experiments. The open-source availability of G-code and Python scripts empowers users to adapt the solution, laying the foundation for deploying AI models on machine controls and support scalable smart manufacturing solutions.
Source: DepositOnce
Authors: Uhlmann, Eckart, Polte, Mitchel, Heper, Martin
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7077502720
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