2018
DOI: 10.1016/j.cirpj.2018.10.003
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Deformation induced hardening when cryogenic turning,

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Cited by 23 publications
(19 citation statements)
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“…The images captured with an optical microscope were converted into a binary image. An image processing method [50] utilizing a dilation algorithm [59] and Canny edge detection [60] was used to determine the a 0martensite distribution inside the workpiece surface layer.…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…The images captured with an optical microscope were converted into a binary image. An image processing method [50] utilizing a dilation algorithm [59] and Canny edge detection [60] was used to determine the a 0martensite distribution inside the workpiece surface layer.…”
Section: Methodsmentioning
confidence: 99%
“…As for the other hardening processes, the cryogenic turning process must be designed in such a way that the lowest possible temperatures and the highest possible mechanical loads are present in the workpiece surface layer. In the turning process, the low temperatures are achieved by means of a cryogenic cooling system and low cutting speeds [49,50]. High passive forces lead to pronounced deformations of the surface layer.…”
Section: Introductionmentioning
confidence: 99%
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“…For calibration, cross sections of the cryogenically turned workpieces were treated with Beraha II etching agent in order contrast the α′-martensite needles. In addition to workpieces that were cryogenically turned within the framework of this study, workpieces with exceptionally high and low α′-martensite content from earlier studies by Mayer et al (2018) and Hotz et al (2018) were also used for calibration. After capturing images with an optical microscope, an image processing method according to Mayer et al (2018) was used in order to quantify the α′-martensite content in the surface layer and give insights into the α′-martensite distribution.…”
Section: Measurement Technologymentioning
confidence: 99%
“…The understanding and quantification of the causal correlations between the input parameters, the thermomechanical load and the surface integrity, especially regarding the α′-martensite content, is of high technological and economic importance in order to tailor the cryogenic turning process depending on specific application requirements. The effects of the input parameters on the thermomechanical load and the resulting surface integrity are partly well understood: Mayer et al (2018) reported on the influence of the cutting parameters, while the research of Hotz and Kirsch (2020) addressed the impact of the tool properties on the thermomechanical load and the surface integrity. These investigations demonstrate that, due to the deformation-induced phase transformation and strain hardening, the microhardness of the workpiece subsurface can almost be doubled by cryogenic turning.…”
Section: Introductionmentioning
confidence: 99%