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

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3 Citations (SciVal)

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.

Original languageEnglish
Title of host publication17th CIRP Conference on Modelling of Machining Operations (17th CIRP CMMO)
PublisherElsevier
Pages314-319
Number of pages6
DOIs
Publication statusPublished - 2019 Jan 1
Event17th CIRP Conference on Modelling of Machining Operations, CIRP CMMO - Sheffield, United Kingdom
Duration: 2019 Jun 132019 Jun 14

Publication series

NameProcedia CIRP
PublisherElsevier
Volume82
ISSN (Print)2212-8271

Conference

Conference17th CIRP Conference on Modelling of Machining Operations, CIRP CMMO
Country/TerritoryUnited Kingdom
CitySheffield
Period2019/06/132019/06/14

Subject classification (UKÄ)

  • Materials Engineering

Keywords

  • Chip
  • Image processing
  • Orthogonal turning
  • Segmentation

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