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

Nicolas Meier; Jan Papadoudis; Anthimos Georgiadis

doi:10.1016/j.procir.2020.05.059

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

Nicolas Meier^*
, Jan Papadoudis
, Anthimos Georgiadis

^*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beiträge in Zeitschriften › Konferenzaufsätze in Fachzeitschriften › Forschung › Begutachtung

2 Zitate (Scopus)

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.

Originalsprache	Englisch
Zeitschrift	Procedia CIRP
Jahrgang	88
Seiten (von - bis)	341-345
Seitenumfang	5
ISSN	2212-8271
DOIs	https://doi.org/10.1016/j.procir.2020.05.059
Publikationsstatus	Erschienen - 2020
Veranstaltung	13th CIRP Conference on INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING - CIRP ICME ’19: Innovative and Cognitive Production Technology and Systems - Hotel Continental Ischia, Gulf of Naples, Italien Dauer: 17.07.2019 → 19.07.2019 Konferenznummer: 13 http://www.icme.unina.it/ICME%2019/ICME_14.htm

Fachgebiete und Schlagwörter

Ingenieurwissenschaften

ASJC Scopus Sachgebiete

Steuerungs- und Systemtechnik
Wirtschaftsingenieurwesen und Fertigungstechnik

Zugriff auf Dokument

10.1016/j.procir.2020.05.059Lizenz: CC BY-NC-ND

DownloadEndgültige, publizierte Fassung, 732 KBLizenz: CC BY-NC-ND

Dieses zitieren

@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",

}

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 - https://www.scopus.com/pages/publications/85089099932

U2 - 10.1016/j.procir.2020.05.059

DO - 10.1016/j.procir.2020.05.059

M3 - Conference article in journal

AN - SCOPUS:85089099932

SN - 2212-8271

VL - 88

SP - 341

EP - 345

JO - Procedia CIRP

JF - Procedia CIRP

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

Y2 - 17 July 2019 through 19 July 2019

ER -

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

Abstract

Fachgebiete und Schlagwörter

ASJC Scopus Sachgebiete

Zugriff auf Dokument

Fingerprint

Dieses zitieren