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. Noise level estimation using haar wavelet packet trees for sensor robust outlier detection
  2. A transfer operator based computational study of mixing processes in open flow systems
  3. Integrating Mobile Devices into AAL-Environments using Knowledge based Assistance Systems
  4. Using learning protocols for knowledge acquisition and problem solving with individual and group incentives
  5. Proceedings of the SeMantic Answer Type and Relation Prediction Task at ISWC 2021 Semantic Web Challenge (SMART2021)
  6. Making an Impression Through Openness
  7. FFTSMC with Optimal Reference Trajectory Generated by MPC in Robust Robotino Motion Planning with Saturating Inputs
  8. Computational modeling of material flow networks
  9. Reading and Calculating in Word Problem Solving
  10. Template-based Question Answering using Recursive Neural Networks
  11. Simultaneous Constrained Adaptive Item Selection for Group-Based Testing
  12. A multi input sliding mode control for Peltier Cells using a cold-hot sliding surface
  13. Unidimensional and Multidimensional Methods for Recurrence Quantification Analysis with crqa
  14. Optimizing sampling of flying insects using a modified window trap
  15. Scaffolding argumentation in mathematics with CSCL scripts
  16. Hierarchical trait filtering at different spatial scales determines beetle assemblages in deadwood
  17. Modeling items for text comprehension assessment using confirmatory factor analysis
  18. Comparing the Sensitivity of Social Networks, Web Graphs, and Random Graphs with Respect to Vertex Removal
  19. Cognitive Predictors of Child Second Language Comprehension and Syntactic Learning
  20. Mechanical performance prediction for friction riveting joints of dissimilar materials via machine learning
  21. Quality Assurance Methods and the Open Source Model
  22. NH4+ ad-/desorption in sequencing batch reactors
  23. Dynamically changing sequencing rules with reinforcement learning in a job shop system with stochastic influences
  24. Kalman Filter for Predictive Maintenance and Anomaly Detection
  25. Need Satisfaction and Optimal Functioning at Leisure and Work: A Longitudinal Validation Study of the DRAMMA Model
  26. How does Enterprise Architecture support the Design and Realization of Data-Driven Business Models?
  27. Sensitivity to complexity - an important prerequisite of problem solving mathematics teaching
  28. Supporting the Development and Implementation of a Digitalization Strategy in SMEs through a Lightweight Architecture-based Method
  29. Experimentally established correlation of friction surfacing process temperature and deposit geometry
  30. What can conservation strategies learn from the ecosystem services approach?
  31. Data based analysis of order processing strategies to support the positioning between conflicting economic and logistic objectives
  32. An Orthogonal Wavelet Denoising Algorithm for Surface Images of Atomic Force Microscopy
  33. Guest Editorial Special Issue on Sensors in Machine Vision of Automated Systems
  34. AGDISTIS - Graph-based disambiguation of named entities using linked data
  35. New Labor, Old Questions: Practices of Collaboration with Robots
  36. Grazing, exploring and networking for sustainability-oriented innovations in learning-action networks
  37. Exploring large vegetation databases to detect temporal trends in species occurrences
  38. Modeling self-determination theory motivation data by using unfolding IRT
  39. Combining linked data and statistical information retrieval
  40. Introduction Mobile Digital Practices. Situating People, Things, and Data