Multidimensional position-based monitoring of machining using references of multiple machine tools

authored by: Berend Denkena, Heinrich Klemme, Tobias H. Stiehl
Abstract: Tool condition monitoring systems are a prerequisite for autonomous production. However, monitoring small series is challenging as systems usually require references of correct processes for parameterization. As an alternative, these references can be sourced from other machine tools that execute similar processes. Unfortunately, actual processes vary among machine tools, despite machine tools using identical NC-instructions. This work introduces a novel multidimensional position-based online monitoring approach that is designed to overcome process variations among machine tools. This approach utilizes dynamic time warping to match the multidimensional tool paths of machine tools. The results include monitoring of pocket milling on three machine tools using process forces sourced from one, or multiple, other machine tools. A comparison demonstrates that position-based limits for online monitoring, rather than time-based limits, are better suited for transfer among machine tools.
Organisation(s): Institute of Production Engineering and Machine Tools
Type: Conference article
Journal: Procedia CIRP
Volume: 126
Pages: 117-122
No. of pages: 6
ISSN: 2212-8271
Publication date: 2024
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Control and Systems Engineering, Industrial and Manufacturing Engineering
Electronic version(s): https://doi.org/10.1016/j.procir.2024.08.310 (Access: Open)

BibTeX

@article{d4ddfdf982284b5eba68f40c148cee7a,
title = "Multidimensional position-based monitoring of machining using references of multiple machine tools",
abstract = "Tool condition monitoring systems are a prerequisite for autonomous production. However, monitoring small series is challenging as systems usually require references of correct processes for parameterization. As an alternative, these references can be sourced from other machine tools that execute similar processes. Unfortunately, actual processes vary among machine tools, despite machine tools using identical NC-instructions. This work introduces a novel multidimensional position-based online monitoring approach that is designed to overcome process variations among machine tools. This approach utilizes dynamic time warping to match the multidimensional tool paths of machine tools. The results include monitoring of pocket milling on three machine tools using process forces sourced from one, or multiple, other machine tools. A comparison demonstrates that position-based limits for online monitoring, rather than time-based limits, are better suited for transfer among machine tools.",
keywords = "dynamic time warping, fleet monitoring, geometrical features, machine tools, tool condition monitoring",
author = "Berend Denkena and Heinrich Klemme and Stiehl, {Tobias H.}",
note = "Publisher Copyright: {\textcopyright} 2024 Elsevier B.V.. All rights reserved.; 17th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2023 ; Conference date: 12-07-2023 Through 14-07-2023",
year = "2024",
doi = "10.1016/j.procir.2024.08.310",
language = "English",
volume = "126",
pages = "117--122",
journal = "Procedia CIRP",
issn = "2212-8271",
publisher = "Elsevier BV",
}