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Analysis and monitoring the initial tool damage and coating failure when hard milling Vanadis 4E with TiAlN coated PcBN

Gutnichenko, Oleksandr LU ; Pozuelo, Sandra Gordon ; Llanes, Luis and Bushlya, Volodymyr LU (2025) 20th CIRP Conference on Modeling of Machining Operations in Mons, CIRP CMMO 2025 In Procedia CIRP 133. p.322-327
Abstract

Polycrystalline cubic boron nitride (PcBN) is renowned for its exceptional hardness and thermal stability, making it ideal for extreme machining conditions. Coatings on PcBN tools further enhance performance by extending tool life and improving cutting efficiency. While uncoated PcBN tools already excel in harsh environments, coatings primarily boost durability. Although extensively studied in turning applications, PcBN's potential in milling remains underexplored. This preliminary study evaluates the performance of coated and uncoated PcBN tools in milling, addressing the limited research in this area. It focuses on detecting coating failures and monitoring tool wear in real-time. The approach successfully identifies anomalies and... (More)

Polycrystalline cubic boron nitride (PcBN) is renowned for its exceptional hardness and thermal stability, making it ideal for extreme machining conditions. Coatings on PcBN tools further enhance performance by extending tool life and improving cutting efficiency. While uncoated PcBN tools already excel in harsh environments, coatings primarily boost durability. Although extensively studied in turning applications, PcBN's potential in milling remains underexplored. This preliminary study evaluates the performance of coated and uncoated PcBN tools in milling, addressing the limited research in this area. It focuses on detecting coating failures and monitoring tool wear in real-time. The approach successfully identifies anomalies and micro-scale tool damage, such as coating delamination and edge chipping, before significant wear like fank land or crater formation occurs. Singular Value Decomposition (SVD) underpins this method, offering simplicity, fast training, and low computational requirements through efficient numerical algorithms.

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Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Coating, Failure, Milling, Monitoring, PcBN, SVD, Vanadis 4E, Wear
in
Procedia CIRP
volume
133
pages
6 pages
publisher
Elsevier
conference name
20th CIRP Conference on Modeling of Machining Operations in Mons, CIRP CMMO 2025
conference location
Mons, Belgium
conference dates
2025-05-22 - 2025-05-23
external identifiers
  • scopus:105003289683
ISSN
2212-8271
DOI
10.1016/j.procir.2025.02.056
language
English
LU publication?
yes
id
d6d3d210-05b3-428c-afc7-44b259b9963d
date added to LUP
2025-05-05 13:27:38
date last changed
2025-05-06 10:33:05
@article{d6d3d210-05b3-428c-afc7-44b259b9963d,
  abstract     = {{<p>Polycrystalline cubic boron nitride (PcBN) is renowned for its exceptional hardness and thermal stability, making it ideal for extreme machining conditions. Coatings on PcBN tools further enhance performance by extending tool life and improving cutting efficiency. While uncoated PcBN tools already excel in harsh environments, coatings primarily boost durability. Although extensively studied in turning applications, PcBN's potential in milling remains underexplored. This preliminary study evaluates the performance of coated and uncoated PcBN tools in milling, addressing the limited research in this area. It focuses on detecting coating failures and monitoring tool wear in real-time. The approach successfully identifies anomalies and micro-scale tool damage, such as coating delamination and edge chipping, before significant wear like fank land or crater formation occurs. Singular Value Decomposition (SVD) underpins this method, offering simplicity, fast training, and low computational requirements through efficient numerical algorithms.</p>}},
  author       = {{Gutnichenko, Oleksandr and Pozuelo, Sandra Gordon and Llanes, Luis and Bushlya, Volodymyr}},
  issn         = {{2212-8271}},
  keywords     = {{Coating; Failure; Milling; Monitoring; PcBN; SVD; Vanadis 4E; Wear}},
  language     = {{eng}},
  pages        = {{322--327}},
  publisher    = {{Elsevier}},
  series       = {{Procedia CIRP}},
  title        = {{Analysis and monitoring the initial tool damage and coating failure when hard milling Vanadis 4E with TiAlN coated PcBN}},
  url          = {{http://dx.doi.org/10.1016/j.procir.2025.02.056}},
  doi          = {{10.1016/j.procir.2025.02.056}},
  volume       = {{133}},
  year         = {{2025}},
}