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Milling wear of carbide tool for processing nickel-based alloy in cryogenic based on the entropy change
This paper presents comprehensive investigation on the nickel-base alloy material used in the aerospace with difficult machining whose cutting tool is worn failure quickly. The reason mainly relates to the high temperature of cutting zone. The cryogenic cooling method was adopted for a series of mac...
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Published in: | International journal of advanced manufacturing technology 2017-05, Vol.90 (5-8), p.1703-1713 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | This paper presents comprehensive investigation on the nickel-base alloy material used in the aerospace with difficult machining whose cutting tool is worn failure quickly. The reason mainly relates to the high temperature of cutting zone. The cryogenic cooling method was adopted for a series of machining experiments. Based on the entropy production of the cutting system, the entropy productions of diffusion, adhesion, and oxidation wear of tool were calculated under different cutting speeds. And the wear mechanism was explained through the self-organization characteristics of cutting friction and wear system. The results indicate that with the increase of cutting speed, it has the greater entropy production. To traditional cutting, at the 132 m/min speed, the entropy production has not had the decreased stage with time, and the tool self-organizing has not played a role. However, in cryogenic cooling environment, when the speed is 220 m/min, the cutting tool’s self-organization is still in effect, and its service life can be significantly extended more than three times. Compared with the traditional processing, the cryogenic one is more likely to form a self-organization dissipative structure and obviously improves the cutting speed which the self-organization can play a role. Furthermore, it also increases the cutting effect with the best processing efficiency. |
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ISSN: | 0268-3768 1433-3015 |
DOI: | 10.1007/s00170-016-9505-4 |