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Optimal modelling of Colding parameters for round inserts with respect to tool use-time criteria

Bello Bermejo, Juan Manuel LU orcid ; Saatçi, Berk ; Johansson, Daniel LU ; Hägglund, Sören ; Ståhl, Jan Eric LU and Windmark, Christina LU orcid (2025) 20th CIRP Conference on Modeling of Machining Operations in Mons, CIRP CMMO 2025 In Procedia CIRP 133. p.286-291
Abstract

Optimization of machining processes, such as milling, is essential for industrial efficiency and product quality. To achieve greater efficiency, it is necessary to understand how tools wear down in different conditions in order to anticipate possible undesirable events like sudden breakage or unpredictable degradation. This study focuses on understanding tool wear in dry milling of compacted graphite iron (CGI) EN-GJV-450 using PVD-coated cemented carbide and cBN tools to predict tool life effectively. The research builds on the Colding model, an empirical framework for tool life estimation, by incorporating and comparing two chip thickness concepts in order to optimize the Colding model's performance, maximum chip thickness (hmax) and... (More)

Optimization of machining processes, such as milling, is essential for industrial efficiency and product quality. To achieve greater efficiency, it is necessary to understand how tools wear down in different conditions in order to anticipate possible undesirable events like sudden breakage or unpredictable degradation. This study focuses on understanding tool wear in dry milling of compacted graphite iron (CGI) EN-GJV-450 using PVD-coated cemented carbide and cBN tools to predict tool life effectively. The research builds on the Colding model, an empirical framework for tool life estimation, by incorporating and comparing two chip thickness concepts in order to optimize the Colding model's performance, maximum chip thickness (hmax) and equivalent chip thickness (he). Through systematic experimentation and modelling, this work has identified optimal conditions for tool life prediction, with hmax offering a potentially resource-efficient cross-validation alternative aligned with sustainability goals. The results demonstrate that the optimized Colding model effectively predicts tool life for both coated cemented carbide and cBN cutting tools with round geometry in dry milling of CGI. The insights gained further enhance our understanding of the milling process and provide a solid foundation for selecting appropriate machining parameters to extend tool life and improve process efficiency.

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Please use this url to cite or link to this publication:
author
; ; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Cemented carbide, CGI, Colding, Machining, Milling
host publication
Proceedings of the 20th CIRP Conference on Modeling of Machining Operations in Mons
series title
Procedia CIRP
editor
Ducobu, Francois and Lauwers, Bert
volume
133
pages
6 pages
publisher
Elsevier Science Publishers B.V.
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:105003137147
ISSN
2212-8271
DOI
10.1016/j.procir.2025.02.050
language
English
LU publication?
yes
id
0c128628-beb0-4cb0-b859-ed957aad0b6a
date added to LUP
2025-06-16 10:55:29
date last changed
2025-06-17 16:26:02
@inproceedings{0c128628-beb0-4cb0-b859-ed957aad0b6a,
  abstract     = {{<p>Optimization of machining processes, such as milling, is essential for industrial efficiency and product quality. To achieve greater efficiency, it is necessary to understand how tools wear down in different conditions in order to anticipate possible undesirable events like sudden breakage or unpredictable degradation. This study focuses on understanding tool wear in dry milling of compacted graphite iron (CGI) EN-GJV-450 using PVD-coated cemented carbide and cBN tools to predict tool life effectively. The research builds on the Colding model, an empirical framework for tool life estimation, by incorporating and comparing two chip thickness concepts in order to optimize the Colding model's performance, maximum chip thickness (hmax) and equivalent chip thickness (he). Through systematic experimentation and modelling, this work has identified optimal conditions for tool life prediction, with hmax offering a potentially resource-efficient cross-validation alternative aligned with sustainability goals. The results demonstrate that the optimized Colding model effectively predicts tool life for both coated cemented carbide and cBN cutting tools with round geometry in dry milling of CGI. The insights gained further enhance our understanding of the milling process and provide a solid foundation for selecting appropriate machining parameters to extend tool life and improve process efficiency.</p>}},
  author       = {{Bello Bermejo, Juan Manuel and Saatçi, Berk and Johansson, Daniel and Hägglund, Sören and Ståhl, Jan Eric and Windmark, Christina}},
  booktitle    = {{Proceedings of the 20th CIRP Conference on Modeling of Machining Operations in Mons}},
  editor       = {{Ducobu, Francois and Lauwers, Bert}},
  issn         = {{2212-8271}},
  keywords     = {{Cemented carbide; CGI; Colding; Machining; Milling}},
  language     = {{eng}},
  pages        = {{286--291}},
  publisher    = {{Elsevier Science Publishers B.V.}},
  series       = {{Procedia CIRP}},
  title        = {{Optimal modelling of Colding parameters for round inserts with respect to tool use-time criteria}},
  url          = {{http://dx.doi.org/10.1016/j.procir.2025.02.050}},
  doi          = {{10.1016/j.procir.2025.02.050}},
  volume       = {{133}},
  year         = {{2025}},
}