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Jan-Eric Ståhl

Jan-Eric Ståhl

Professor

Jan-Eric Ståhl

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

Author

  • Andrew Hrechuk
  • Volodymyr Bushlya
  • Rachid M'Saoubi
  • Jan Eric Ståhl

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