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

Research output: Contribution to journalArticle


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.


External organisations
  • Seco Tools AB
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Materials Engineering


  • Chip, Image processing, Orthogonal turning, Segmentation
Original languageEnglish
Pages (from-to)314-319
Number of pages6
JournalProcedia CIRP
Publication statusPublished - 2019 Jan 1
Publication categoryResearch
Event17th CIRP Conference on Modelling of Machining Operations, CIRP CMMO - Sheffield, United Kingdom
Duration: 2019 Jun 132019 Jun 14

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