
Jan-Eric Ståhl
Professor

Quantitative analysis of chip segmentation in machining using an automated image processing method
Author
Summary, in English
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.
Department/s
- Production and Materials Engineering
- SPI: Sustainable Production Initiative
Publishing year
2019-01-01
Language
English
Pages
314-319
Publication/Series
Procedia CIRP
Volume
82
Document type
Conference paper
Publisher
Elsevier
Topic
- Materials Engineering
Keywords
- Chip
- Image processing
- Orthogonal turning
- Segmentation
Conference name
17th CIRP Conference on Modelling of Machining Operations, CIRP CMMO
Conference date
2019-06-13 - 2019-06-14
Conference place
Sheffield, United Kingdom
Status
Published
ISBN/ISSN/Other
- ISSN: 2212-8271