Quantitative analysis of chip segmentation in machining using an automated image processing method
(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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/9c9faae9-19db-4419-bef9-259f8d83d1f9
- author
- Hrechuk, Andrew LU ; Bushlya, Volodymyr LU ; M'Saoubi, Rachid and Ståhl, Jan Eric LU
- organization
- publishing date
- 2019-01-01
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Chip, Image processing, Orthogonal turning, Segmentation
- host publication
- 17th CIRP Conference on Modelling of Machining Operations (17th CIRP CMMO)
- series title
- 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
- 2024-02-04 05:50:57
@inproceedings{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}}, booktitle = {{17th CIRP Conference on Modelling of Machining Operations (17th CIRP CMMO)}}, issn = {{2212-8271}}, keywords = {{Chip; Image processing; Orthogonal turning; Segmentation}}, 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}}, }