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Theoretical and experimental investigation of intermittent grinding of SiC with a segmented grinding wheel

Authors: Tawakoli, Taghi; Azarhoushang, Bahman;

Theoretical and experimental investigation of intermittent grinding of SiC with a segmented grinding wheel

Abstract

The widespread replacement of metals by the advanced ceramics has been limited by the high manufacturing costs of these materials and the difficulties involved. To meet the increasing demand of advanced ceramics, the current technological constraints should be overcome. One of the main targets in grinding of these materials is increasing the machining efficiency. Utilisation of a segmented grinding wheel can reduce the grinding forces and temperatures and increase the material removal rate. Hence, an especially designed segmented wheel (T-Tool) has been developed in this study. Both theoretical and experimental results illustrate the high performance of the developed grinding wheel. The obtained results show that the application of the T-Tool wheel can increase the G-ratio and decrease the grinding forces considerably. A decrease of up to 35% of grinding forces has been achieved.

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Germany
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    impulse
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Average
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