Predicting tool life for side milling in C45 E using Colding and Taylor tool life models
(2023) In Advances in Industrial and Manufacturing Engineering 7.- Abstract
This paper investigates the possibility of using empirical tool life models to predict tool life in a side milling application in a medium carbon steel, C 45E. To do this, an extensive dataset containing 46 data points with different machining parameters are produced. Four different empirical models: Taylor's equation, Colding's equation and Extended Taylor both using depth of cut and feed as well as an Extended Taylor using equivalent chip thickness has been considered. It is found that Colding's equation is best suited to predict the tool life for this application. Furthermore, this paper suggests a novel method to fit the experimental data to the empirical models. Based on the results from previously published papers it is shown that... (More)
This paper investigates the possibility of using empirical tool life models to predict tool life in a side milling application in a medium carbon steel, C 45E. To do this, an extensive dataset containing 46 data points with different machining parameters are produced. Four different empirical models: Taylor's equation, Colding's equation and Extended Taylor both using depth of cut and feed as well as an Extended Taylor using equivalent chip thickness has been considered. It is found that Colding's equation is best suited to predict the tool life for this application. Furthermore, this paper suggests a novel method to fit the experimental data to the empirical models. Based on the results from previously published papers it is shown that the proposed method performs equally or better to determine the model constants.
(Less)
- author
- Kantojärvi, Fredrik ; Vikenadler, Elias ; Johansson, Daniel LU ; Hägglund, Sören and M'Saoubi, Rachid LU
- organization
- publishing date
- 2023-11
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Colding's equation, Machining, Milling, Taylor formula, Tool life
- in
- Advances in Industrial and Manufacturing Engineering
- volume
- 7
- article number
- 100126
- publisher
- Elsevier
- external identifiers
-
- scopus:85165999873
- ISSN
- 2666-9129
- DOI
- 10.1016/j.aime.2023.100126
- language
- English
- LU publication?
- yes
- id
- ef1c1551-c2ed-47a3-8f85-9aa60dbf0ef4
- date added to LUP
- 2023-10-24 13:41:12
- date last changed
- 2023-10-25 16:11:01
@article{ef1c1551-c2ed-47a3-8f85-9aa60dbf0ef4,
abstract = {{<p>This paper investigates the possibility of using empirical tool life models to predict tool life in a side milling application in a medium carbon steel, C 45E. To do this, an extensive dataset containing 46 data points with different machining parameters are produced. Four different empirical models: Taylor's equation, Colding's equation and Extended Taylor both using depth of cut and feed as well as an Extended Taylor using equivalent chip thickness has been considered. It is found that Colding's equation is best suited to predict the tool life for this application. Furthermore, this paper suggests a novel method to fit the experimental data to the empirical models. Based on the results from previously published papers it is shown that the proposed method performs equally or better to determine the model constants.</p>}},
author = {{Kantojärvi, Fredrik and Vikenadler, Elias and Johansson, Daniel and Hägglund, Sören and M'Saoubi, Rachid}},
issn = {{2666-9129}},
keywords = {{Colding's equation; Machining; Milling; Taylor formula; Tool life}},
language = {{eng}},
publisher = {{Elsevier}},
series = {{Advances in Industrial and Manufacturing Engineering}},
title = {{Predicting tool life for side milling in C45 E using Colding and Taylor tool life models}},
url = {{http://dx.doi.org/10.1016/j.aime.2023.100126}},
doi = {{10.1016/j.aime.2023.100126}},
volume = {{7}},
year = {{2023}},
}