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Damage Detection of Coated Milling Tools Using Images Captured by Cylindrical Shaped Enclosure Measurement Setup

  • Technische Hochschule Ingolstadt

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Currently, only two direct automatic tool damage detection systems are available in the tool resharpening industries of German market. Both systems work on the principle of laser-optical 3D detection. By means of non-contact laser scanning, 3D models of the scan object are created which are then compared with digitally stored original model of the tools through a software. Damage images are created based on detected deviations. However, these systems have the major decisive disadvantage that they require about 15 to 20 min for a complete detection of a tool and are quite expensive, ranging between 100,000–400,000 Euros. Therefore, there is a scope of technically and economically optimized tool quality inspection system. The main goal of this work is to develop a new method by which the damages of different coated tools are identified with reduced cost and without compromising the accuracy of the damage.

Original languageEnglish
Title of host publicationAdvances in Computational Collective Intelligence - 14th International Conference, ICCCI 2022, Proceedings
EditorsCostin Bădică, Jan Treur, Djamal Benslimane, Bogumiła Hnatkowska, Marek Krótkiewicz
PublisherSpringer Science and Business Media Deutschland GmbH
Pages264-272
Number of pages9
ISBN (Print)9783031162091
DOIs
Publication statusPublished - 2022
Event14th International Conference on Computational Collective Intelligence, ICCCI 2022 - Hammamet, Tunisia
Duration: 28 Sept 202230 Sept 2022

Publication series

NameCommunications in Computer and Information Science
Volume1653 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference14th International Conference on Computational Collective Intelligence, ICCCI 2022
Country/TerritoryTunisia
CityHammamet
Period28/09/2230/09/22

Keywords

  • Damage detection
  • Image processing
  • Measurement setup
  • Quality inspection
  • Tool regrinding

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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