One of the aspects that makes difficult grinding processes modelling is the non-deterministic nature of the cutting tool, in particular the abrasive grains of the grinding wheel have a random distribution and an undefined geometry that influences the grinding forces. In order to develop a reliable 3D model of the grinding process the actual microgeometry of abrasive grains must be acquired. This paper compares the results of two different acquisition methods: the geometry acquired via a laser non-contact instrument is confronted with the one acquired using a computer tomography; the accuracy of the grain micro geometry provided by the two approaches is discussed.

Abrasive grains micro geometry: a comparison between two acquisition methods / Guerrini, G.; Fortunato, A.; Bruzzone, A. A.; D’Addona, D. M.. - 67:(2018), pp. 302-306. (Intervento presentato al convegno 11th CIRP Conference on Intelligent Computation in Manufacturing Engineering tenutosi a Ischia, Italy nel 19-21 July 2017) [10.1016/j.procir.2017.12.217].

Abrasive grains micro geometry: a comparison between two acquisition methods

D. M. D’Addona
2018

Abstract

One of the aspects that makes difficult grinding processes modelling is the non-deterministic nature of the cutting tool, in particular the abrasive grains of the grinding wheel have a random distribution and an undefined geometry that influences the grinding forces. In order to develop a reliable 3D model of the grinding process the actual microgeometry of abrasive grains must be acquired. This paper compares the results of two different acquisition methods: the geometry acquired via a laser non-contact instrument is confronted with the one acquired using a computer tomography; the accuracy of the grain micro geometry provided by the two approaches is discussed.
2018
Abrasive grains micro geometry: a comparison between two acquisition methods / Guerrini, G.; Fortunato, A.; Bruzzone, A. A.; D’Addona, D. M.. - 67:(2018), pp. 302-306. (Intervento presentato al convegno 11th CIRP Conference on Intelligent Computation in Manufacturing Engineering tenutosi a Ischia, Italy nel 19-21 July 2017) [10.1016/j.procir.2017.12.217].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/703307
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