Prediction of the tool change point in a polishing process using a modular software framework

Research output: Journal contributionsConference article in journalResearchpeer-review


A modular framework ensuring zero defect manufacturing developed for applications in different production processes was successfully tested on a polishing machine. Algorithms, predicting the optimal time to change the tools, were deployed to the framework and showed reproducible results under similar polishing conditions. Due to the modular software framework the algorithms, can be easily adjusted and changed, enabling the system to self-improve over time with minimal effort. The algorithms have been implemented into an embedded system.

Original languageEnglish
JournalProcedia CIRP
Pages (from-to)341-345
Number of pages5
Publication statusPublished - 2020
Event13th CIRP Conference on INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING - CIRP ICME ’19: Innovative and Cognitive Production Technology and Systems - Hotel Continental Ischia, Gulf of Naples, Italy
Duration: 17.07.201919.07.2019
Conference number: 13

    Research areas

  • Modular software, Polishing, Prediction, Tool change point
  • Engineering