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Quantitative analysis of chip segmentation in machining using an automated image processing method

Hrechuk, Andrew LU ; Bushlya, Volodymyr LU ; M'Saoubi, Rachid and Ståhl, Jan Eric LU (2019) 17th CIRP Conference on Modelling of Machining Operations, CIRP CMMO In Procedia CIRP 82. p.314-319
Abstract

Analysis of chip formation is one of the most established and informative methods for description of the cutting process. A number of established techniques ranging from optical to electron microscopy have been developed for analysis of continuous chips. Yet, machining of difficult-to-cut materials is accompanied by segmented chip formation. This paper presents an original algorithm based on image processing of segmented chips that quantifies chip compression ratio, dimensions of segments, segmentation frequency, etc. The algorithm was validated when analyzing chip cross-sections for the cases of orthogonal turning of stainless steel 316L and Inconel 718.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Chip, Image processing, Orthogonal turning, Segmentation
in
Procedia CIRP
volume
82
pages
6 pages
publisher
Elsevier
conference name
17th CIRP Conference on Modelling of Machining Operations, CIRP CMMO
conference location
Sheffield, United Kingdom
conference dates
2019-06-13 - 2019-06-14
external identifiers
  • scopus:85070470618
ISSN
2212-8271
DOI
10.1016/j.procir.2019.03.272
language
English
LU publication?
yes
id
9c9faae9-19db-4419-bef9-259f8d83d1f9
date added to LUP
2019-08-25 17:31:43
date last changed
2020-01-13 02:17:45
@article{9c9faae9-19db-4419-bef9-259f8d83d1f9,
  abstract     = {<p>Analysis of chip formation is one of the most established and informative methods for description of the cutting process. A number of established techniques ranging from optical to electron microscopy have been developed for analysis of continuous chips. Yet, machining of difficult-to-cut materials is accompanied by segmented chip formation. This paper presents an original algorithm based on image processing of segmented chips that quantifies chip compression ratio, dimensions of segments, segmentation frequency, etc. The algorithm was validated when analyzing chip cross-sections for the cases of orthogonal turning of stainless steel 316L and Inconel 718.</p>},
  author       = {Hrechuk, Andrew and Bushlya, Volodymyr and M'Saoubi, Rachid and Ståhl, Jan Eric},
  issn         = {2212-8271},
  language     = {eng},
  month        = {01},
  pages        = {314--319},
  publisher    = {Elsevier},
  series       = {Procedia CIRP},
  title        = {Quantitative analysis of chip segmentation in machining using an automated image processing method},
  url          = {http://dx.doi.org/10.1016/j.procir.2019.03.272},
  doi          = {10.1016/j.procir.2019.03.272},
  volume       = {82},
  year         = {2019},
}