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

Research output: Journal contributionsConference article in journalResearchpeer-review

Authors

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
Volume88
Pages (from-to)341-345
Number of pages5
ISSN2212-8271
DOIs
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
http://www.icme.unina.it/ICME%2019/ICME_14.htm

    Research areas

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

Documents

DOI

Recently viewed

Publications

  1. Flexible scripting in net-based learning groups
  2. Simultaneous Constrained Adaptive Item Selection for Group-Based Testing
  3. Joint entity and relation linking using EARL
  4. Entropy-guided feature generation for structured learning of Portuguese dependency parsing
  5. Optimizing sampling of flying insects using a modified window trap
  6. Constrained Independence for Detecting Interesting Patterns
  7. Analysis and comparison of two finite element algorithms for dislocation density based crystal plasticity
  8. Proceedings of the SeMantic Answer Type and Relation Prediction Task at ISWC 2021 Semantic Web Challenge (SMART2021)
  9. Paraphrasing Method for Controlling a Robotic Arm Using a Large Language Model
  10. Trajectory-based computational study of coherent behavior in flows
  11. A coding scheme to analyse global text processing in computer supported collaborative learning: What eye movements can tell us
  12. Springback prediction and reduction in deep drawing under influence of unloading modulus degradation
  13. Guest Editorial Special Issue on Sensors in Machine Vision of Automated Systems
  14. A PHENOMENOGRAPHICAL STUDY OF CHILDRENS’ SPATIAL THOUGHT WHILE USING MAPS IN REAL SPACES
  15. Template-based Question Answering using Recursive Neural Networks
  16. Challenges in detecting proximal effects of existential threat on lie detection accuracy
  17. Assembly Theory for Restoring Ecosystem Structure and Functioning
  18. Machine Learning and Knowledge Discovery in Databases
  19. Introduction Mobile Digital Practices. Situating People, Things, and Data