Abstract
This work reports on the subsurface plastic deformation depth (PDD) as a result of grinding of γ-TiAl, where the effects of grit size and shape, workpiece speed, and wheel depth of cut were studied. A grinding model based on a stochastic distribution of the chip thickness was used to estimate the expected maximum normal force per grit (\({F''_{n\:{\rm max}}}\)), which was correlated to the PDD. It was found that the PDD shows a linear correlation with \({F''_{n\:{\rm max}}}^{0.5}\). The results suggest that the indentation model is still valid for grinding if \({F''_{n\:{\rm max}}}^{0.5}\) is used as a PDD predictor variable instead of the total grinding force.
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Murtagian, G.R., Hecker, R.L., Liang, S.Y. et al. Plastic deformation depth modeling on grinding of gamma Titanium Aluminides. Int J Adv Manuf Technol 49, 89–95 (2010). https://doi.org/10.1007/s00170-009-2387-y
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DOI: https://doi.org/10.1007/s00170-009-2387-y