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Selecting Cutting Data Tests for Cutting Data Modeling Using the Colding Tool Life Model

Johansson, Daniel LU ; Akujärvi, Ville LU ; Hägglund, Sören; Bushlya, Volodymyr LU and Ståhl, Jan Eric LU (2018) 51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018 In Procedia CIRP 72. p.197-201
Abstract

An analysis on selecting cutting speed, cutting feed and depth of cut when collecting data for the Colding Tool Life Model based on Woxen's Equivalent Chip Thickness was performed to achieve the lowest possible model error. All possible combinations of a large data set were evaluated with regard to model error. This work shows that an increase of ratio between the highest and lowest cutting speed, feed, depth of cut and tool life within the five included tool life tests increases the likelihood of an accurate model. Further, to ensure an accurate model, it is not enough to have a large ratio of one single parameter, but a large ratio in all parameters is needed. The paper also presents a suggestion on how to select the cutting data... (More)

An analysis on selecting cutting speed, cutting feed and depth of cut when collecting data for the Colding Tool Life Model based on Woxen's Equivalent Chip Thickness was performed to achieve the lowest possible model error. All possible combinations of a large data set were evaluated with regard to model error. This work shows that an increase of ratio between the highest and lowest cutting speed, feed, depth of cut and tool life within the five included tool life tests increases the likelihood of an accurate model. Further, to ensure an accurate model, it is not enough to have a large ratio of one single parameter, but a large ratio in all parameters is needed. The paper also presents a suggestion on how to select the cutting data points, derived from the best performing tool life models. It is concluded that one should aim to have one pair of cutting data points with equal equivalent chip thickness while varying cutting speed and three more test points with different equivalent chip thickness.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Colding Equation, Cutting data, Taylor, Tool Life, Turning
host publication
Procedia CIRP
series title
Procedia CIRP
volume
72
pages
5 pages
conference name
51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018
conference location
Stockholm, Sweden
conference dates
2018-05-16 - 2018-05-18
external identifiers
  • scopus:85049575624
ISSN
2212-8271
DOI
10.1016/j.procir.2018.03.035
language
English
LU publication?
yes
id
db849563-ddf7-4e40-be84-86e8f62cee52
date added to LUP
2018-07-26 09:52:09
date last changed
2018-11-21 21:40:51
@inproceedings{db849563-ddf7-4e40-be84-86e8f62cee52,
  abstract     = {<p>An analysis on selecting cutting speed, cutting feed and depth of cut when collecting data for the Colding Tool Life Model based on Woxen's Equivalent Chip Thickness was performed to achieve the lowest possible model error. All possible combinations of a large data set were evaluated with regard to model error. This work shows that an increase of ratio between the highest and lowest cutting speed, feed, depth of cut and tool life within the five included tool life tests increases the likelihood of an accurate model. Further, to ensure an accurate model, it is not enough to have a large ratio of one single parameter, but a large ratio in all parameters is needed. The paper also presents a suggestion on how to select the cutting data points, derived from the best performing tool life models. It is concluded that one should aim to have one pair of cutting data points with equal equivalent chip thickness while varying cutting speed and three more test points with different equivalent chip thickness.</p>},
  author       = {Johansson, Daniel and Akujärvi, Ville and Hägglund, Sören and Bushlya, Volodymyr and Ståhl, Jan Eric},
  booktitle    = {Procedia CIRP},
  issn         = {2212-8271},
  keyword      = {Colding Equation,Cutting data,Taylor,Tool Life,Turning},
  language     = {eng},
  location     = {Stockholm, Sweden},
  month        = {01},
  pages        = {197--201},
  title        = {Selecting Cutting Data Tests for Cutting Data Modeling Using the Colding Tool Life Model},
  url          = {http://dx.doi.org/10.1016/j.procir.2018.03.035},
  volume       = {72},
  year         = {2018},
}