期刊
17TH CIRP CONFERENCE ON MODELLING OF MACHINING OPERATIONS (17TH CIRP CMMO)
卷 82, 期 -, 页码 314-319出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.procir.2019.03.272
关键词
chip; image processing; segmentation; orthogonal turning
资金
- European Union's Horizon 2020 Research and Innovation Programme under Flintstone2020 project [689279]
- Swedish Institute (SI)
- H2020 Societal Challenges Programme [689279] Funding Source: H2020 Societal Challenges Programme
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. (C) 2019 The Authors. Published by Elsevier B.V.
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