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Characterization of homogenous and plastically graded materials with spherical indentation and inverse analysis

Published online by Cambridge University Press:  23 September 2011

Charbel Moussa*
Affiliation:
LaRMAUR—Indentation, Campus de Beaulieu, 35042 Rennes, France; and FAURECIA Automotive seating, Le pont de vère, 61100 Caligny, France
Olivier Bartier
Affiliation:
LaRMAUR—Indentation, Campus de Beaulieu, 35042 Rennes, France
Gérard Mauvoisin
Affiliation:
LaRMAUR—Indentation, Campus de Beaulieu, 35042 Rennes, France
Philippe Pilvin
Affiliation:
Laboratoire d’Ingénierie des Matériaux de Bretagne, Université de Bretagne-Sud, BP 92116-56321 Lorient Cedex, France
Guillaume Delattre
Affiliation:
FAURECIA Automotive seating, Le pont de vère, 61100 Caligny, France
*
a)Address all correspondence to this author. e-mail: charbel.moussa@univ-rennes1.fr

Abstract

This study investigates spherical indentation of plastically graded materials (PGMs). The hardness of these materials decreases with depth due to microstructural or compositional changes. To predict the behavior of PGM, the knowledge of the plastic properties of the surface and the substrate is necessary. In this work, the spherical indentation technique is applied on carbonitrided steels to obtain their mechanical properties. First, spherical indentation was applied to characterize homogenous materials using inverse analysis. The comparison with tensile test’s results shows that the inverse analysis using spherical indentation data is a reliable method to determine the plastic properties of homogeneous materials. In the second part spherical indentation was used to characterize carbonitrided steels using inverse analysis to obtain plastic properties of the surface. The results show that spherical indentation using inverse analysis has a real potential for evaluating mechanical properties of PGM.

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Copyright
Copyright © Materials Research Society 2011
Figure 0

FIG. 1. The mesh used in the finite element calculations.

Figure 1

FIG. 2. Typical evolution path of the algorithm starting from four different corners for a virtual material (σy = 349 MPa and n = 0.159).

Figure 2

TABLE I. Identification results with the correspondent cost functional values and starting values obtained for a virtual material (σy = 349 MPa and n = 0.159).

Figure 3

FIG. 3. Microstructure of the nontreated C18 steel.

Figure 4

FIG. 4. Comparison between strain–stress curves obtained with a tensile test and with spherical indentation using inverse analysis for nontreated C18 steel.

Figure 5

FIG. 5. Comparison between experimental and numerical indentation curves of nontreated C18 steel.

Figure 6

FIG. 6. Variation of the stress considered for a given plastic strain value in plastically graded material.

Figure 7

FIG. 7. Microstructure of the carbonitrided not quenched C18 steel. (a) Microstructure of the substrate and (b) microstructure of the surface.

Figure 8

FIG. 8. Comparison between measured hardness and calculated hardness from plastic properties obtained using Gao et al.30 model for the carbonitrided not quenched C18 steel.

Figure 9

FIG. 9. Comparison between experimental and numerical indentation curves for the carbonitrided not quenched C18 steel. (a) substrate and (b) surface.

Figure 10

TABLE II. Identification results obtained for the surface and substrate of the carbonitrided not quenched C18 steel.

Figure 11

FIG. 10. Microstructure of the carbonitrided C18 steel. (a) Microstructure of the substrate and (b) microstructure of the surface.

Figure 12

FIG. 11. Comparison between measured hardness and calculated hardness from plastic properties obtained using Gao et al.30 model for the carbonitrided C18 steel.

Figure 13

FIG. 12. Comparison between experimental and numerical indentation curves for the carbonitrided C18 steel. (a) substrate and (b) surface.

Figure 14

TABLE III. Identification results obtained for the surface and substrate of the carbonitrided C18 steel.