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

Research output: Journal contributionsConference article in journalResearchpeer-review

Standard

Prediction of the tool change point in a polishing process using a modular software framework. / Meier, Nicolas; Papadoudis, Jan; Georgiadis, Anthimos.
In: Procedia CIRP, Vol. 88, 2020, p. 341-345.

Research output: Journal contributionsConference article in journalResearchpeer-review

Harvard

APA

Vancouver

Bibtex

@article{3b0200a2e98f43d4834fa07d3f138f2c,
title = "Prediction of the tool change point in a polishing process using a modular software framework",
abstract = "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.",
keywords = "Modular software, Polishing, Prediction, Tool change point, Engineering",
author = "Nicolas Meier and Jan Papadoudis and Anthimos Georgiadis",
year = "2020",
doi = "10.1016/j.procir.2020.05.059",
language = "English",
volume = "88",
pages = "341--345",
journal = "Procedia CIRP",
issn = "2212-8271",
publisher = "Elsevier B.V.",
note = "13th CIRP Conference on INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING - CIRP ICME {\textquoteright}19 : Innovative and Cognitive Production Technology and Systems, CIRP ICME 2019 ; Conference date: 17-07-2019 Through 19-07-2019",
url = "http://www.icme.unina.it/ICME%2019/ICME_14.htm",

}

RIS

TY - JOUR

T1 - Prediction of the tool change point in a polishing process using a modular software framework

AU - Meier, Nicolas

AU - Papadoudis, Jan

AU - Georgiadis, Anthimos

N1 - Conference code: 13

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Modular software

KW - Polishing

KW - Prediction

KW - Tool change point

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85089099932&partnerID=8YFLogxK

U2 - 10.1016/j.procir.2020.05.059

DO - 10.1016/j.procir.2020.05.059

M3 - Conference article in journal

AN - SCOPUS:85089099932

VL - 88

SP - 341

EP - 345

JO - Procedia CIRP

JF - Procedia CIRP

SN - 2212-8271

T2 - 13th CIRP Conference on INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING - CIRP ICME ’19

Y2 - 17 July 2019 through 19 July 2019

ER -

Documents

DOI

Recently viewed

Publications

  1. Diffusion-driven microstructure evolution in OpenCalphad
  2. Enabling Road Condition Monitoring with an on-board Vehicle Sensor Setup
  3. On the Nonlinearity Compensation in Permanent Magnet Machine Using a Controller Based on a Controlled Invariant Subspace
  4. Inverting the Large Lecture Class: Active Learning in an Introductory International Relations Course
  5. Lyapunov Convergence Analysis for Asymptotic Tracking Using Forward and Backward Euler Approximation of Discrete Differential Equations
  6. Multi-Parallel Sending Coils for Movable Receivers in Inductive Charging Systems
  7. Trajectory-based computational study of coherent behavior in flows
  8. On robustness properties in permanent magnet machine control by using decoupling controller
  9. Parameters Estimation of a Lotka-Volterra Model in an Application for Market Graphics Processing Units
  10. Gaussian processes for dispatching rule selection in production scheduling
  11. Cognitive Predictors of Child Second Language Comprehension and Syntactic Learning
  12. Sliding mode and model predictive control for inverse pendulum
  13. Passive Peak Voltage Sensor for Multiple Sending Coils Inductive Power Transmission System
  14. Using Conjoint Analysis to Elicit Preferences for Occupational Health Services in Small and Microenterprises
  15. Continuous and Discrete Concepts for Detecting Transport Barriers in the Planar Circular Restricted Three Body Problem
  16. Model-based logistic controlling of converging material flows
  17. Introduction
  18. Transfer operator-based extraction of coherent features on surfaces
  19. Nonlinear anisotropic boundary value problems – regularity results and multiscale discretizations
  20. Modeling Individual Differences in Children’s Information Integration During Pragmatic Word Learning
  21. Spectral Early-Warning Signals for Sudden Changes in Time-Dependent Flow Patterns
  22. CubeQA—question answering on RDF data cubes