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Sabanci University Research Database
Conference object . 2014 . Peer-reviewed
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Semi-analytical Force Model for Grinding Operations

Authors: Aslan, Deniz; Budak, Erhan;

Semi-analytical Force Model for Grinding Operations

Abstract

AbstractGrinding process is generally used to improve the tolerance integrity and surface quality of a workpiece. However, in case of some hard-to-machine materials grinding can also be a cost effective alternative even for roughing operations. It is crucial to know process forces since they are necessary to identify the conditions for surface burn which is one of the most important issues in grinding applications. In this paper, a new semi-analytical force model for grinding process is developed by modeling abrasive grits and their interaction with the workpiece individually. Grits are examined to determine their geometrical properties and distribution on the grinding wheel. Semi-analytical equations for total normal and tangential force components as well as average force per grit are established by using the micro milling analogy. Fundamental parameters such as shear stress and friction coefficient between the grits and the work material are identified. The model can then be used in prediction of the forces for different cases involving the same material and the abrasive grain however with different conditions. The model predictions are verified by several experiments and also using Johnson-Cook material model.

Country
Turkey
Related Organizations
Keywords

Grinding, Experimental Validation, Grain Measurement, TJ Mechanical engineering and machinery, Johnson-Cook Material Model, Force Model

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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!
22
Top 10%
Top 10%
Top 10%
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