Characterisation of material property variation across an inertia friction welded CrMoV steel component using the inverse analysis of nanoindentation data
In this study, a new application of the inverse analysis of the depth-sensing indentation technique based on the optimization theory has been satisfactorily demonstrated. The novel approach for determining the mechanical properties from experimental nanoindentation curves has been applied in order t...
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| Format: | Article |
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Elsevier
2016
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| Online Access: | https://eprints.nottingham.ac.uk/35531/ |
| _version_ | 1848795099780087808 |
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| author | Iracheta, Omar Bennett, Chris Sun, Wei |
| author_facet | Iracheta, Omar Bennett, Chris Sun, Wei |
| author_sort | Iracheta, Omar |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | In this study, a new application of the inverse analysis of the depth-sensing indentation technique based on the optimization theory has been satisfactorily demonstrated. The novel approach for determining the mechanical properties from experimental nanoindentation curves has been applied in order to generate the elastic–plastic stress–strain curves of three phases located across the joint of a like-to-like inertia friction weld of a CrMoV steel, i.e. the parent phase of tempered martensite and two child phases formed during the IFW process, martensite in the quenched and over-tempered condition. The inverse analysis carried out in this study consists of an optimization algorithm implemented in MATLAB, which compares an experimental nanoindentation curve with a predicted indentation curve generated by a 3D finite element model developed using the ABAQUS software; the optimization algorithm modifies the predicted curve by changing the material properties until the best fit to the experimental nanoindentation curve is found. The optimized parameters (mechanical properties) have been used to generate the stress–strain relationships in the elastic–plastic regime that can be used to simulate numerically the effects of the variation in material properties arising from phase transformations occurring across the joint during the IFW process of a CrMoV steel.
The proposed inverse analysis was capable of fitting experimental load–depth (P–h) curves produced with a Nanoindentation Nanotest NTX unit from three characteristic regions located across the joint where the above mentioned phases are known to exist. The capability of the inverse analysis to build the stress–strain relationship in the elastic–plastic regime using the optimized mechanical properties of the parent metal has been validated using experimental data extracted from the compressive test of an axisymmetric sample of tempered martensite [1]. According to previous experimental studies, the presence of martensite in the quenched and over-tempered condition formed during the IFW of shaft sections of CrMoV steel are responsible of the 1.52:1 harder and 0.75:1 softer regions, compared to the region where the tempered martensite is located [2], [3] and [4]. These ratios are in very good agreement with the optimized magnitudes of yield stress provided by the inverse analysis, that is, 1.54:1 for the quenched martensite and 0.68:1 for the over-tempered martensite, compared to the optimized value of yield stress of the tempered martensite. Moreover, a relative difference of less than 1.5% between the experimental and predicted maximum depth (hmax) supports the capability of the method for extracting the elastic–plastic mechanical properties defining each of the indented regions. |
| first_indexed | 2025-11-14T19:26:42Z |
| format | Article |
| id | nottingham-35531 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:26:42Z |
| publishDate | 2016 |
| publisher | Elsevier |
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| spelling | nottingham-355312020-05-04T17:30:04Z https://eprints.nottingham.ac.uk/35531/ Characterisation of material property variation across an inertia friction welded CrMoV steel component using the inverse analysis of nanoindentation data Iracheta, Omar Bennett, Chris Sun, Wei In this study, a new application of the inverse analysis of the depth-sensing indentation technique based on the optimization theory has been satisfactorily demonstrated. The novel approach for determining the mechanical properties from experimental nanoindentation curves has been applied in order to generate the elastic–plastic stress–strain curves of three phases located across the joint of a like-to-like inertia friction weld of a CrMoV steel, i.e. the parent phase of tempered martensite and two child phases formed during the IFW process, martensite in the quenched and over-tempered condition. The inverse analysis carried out in this study consists of an optimization algorithm implemented in MATLAB, which compares an experimental nanoindentation curve with a predicted indentation curve generated by a 3D finite element model developed using the ABAQUS software; the optimization algorithm modifies the predicted curve by changing the material properties until the best fit to the experimental nanoindentation curve is found. The optimized parameters (mechanical properties) have been used to generate the stress–strain relationships in the elastic–plastic regime that can be used to simulate numerically the effects of the variation in material properties arising from phase transformations occurring across the joint during the IFW process of a CrMoV steel. The proposed inverse analysis was capable of fitting experimental load–depth (P–h) curves produced with a Nanoindentation Nanotest NTX unit from three characteristic regions located across the joint where the above mentioned phases are known to exist. The capability of the inverse analysis to build the stress–strain relationship in the elastic–plastic regime using the optimized mechanical properties of the parent metal has been validated using experimental data extracted from the compressive test of an axisymmetric sample of tempered martensite [1]. According to previous experimental studies, the presence of martensite in the quenched and over-tempered condition formed during the IFW of shaft sections of CrMoV steel are responsible of the 1.52:1 harder and 0.75:1 softer regions, compared to the region where the tempered martensite is located [2], [3] and [4]. These ratios are in very good agreement with the optimized magnitudes of yield stress provided by the inverse analysis, that is, 1.54:1 for the quenched martensite and 0.68:1 for the over-tempered martensite, compared to the optimized value of yield stress of the tempered martensite. Moreover, a relative difference of less than 1.5% between the experimental and predicted maximum depth (hmax) supports the capability of the method for extracting the elastic–plastic mechanical properties defining each of the indented regions. Elsevier 2016-01-26 Article PeerReviewed Iracheta, Omar, Bennett, Chris and Sun, Wei (2016) Characterisation of material property variation across an inertia friction welded CrMoV steel component using the inverse analysis of nanoindentation data. International Journal of Mechanical Sciences, 107 . pp. 253-263. ISSN 0020-7403 Inertia Friction Welding Phase transformations nanoindentation FE modelling of depth-sensing indentation inverse analysis http://www.sciencedirect.com/science/article/pii/S0020740316000291 doi:10.1016/j.ijmecsci.2016.01.023 doi:10.1016/j.ijmecsci.2016.01.023 |
| spellingShingle | Inertia Friction Welding Phase transformations nanoindentation FE modelling of depth-sensing indentation inverse analysis Iracheta, Omar Bennett, Chris Sun, Wei Characterisation of material property variation across an inertia friction welded CrMoV steel component using the inverse analysis of nanoindentation data |
| title | Characterisation of material property variation across an inertia friction welded CrMoV steel component using the inverse analysis of nanoindentation data |
| title_full | Characterisation of material property variation across an inertia friction welded CrMoV steel component using the inverse analysis of nanoindentation data |
| title_fullStr | Characterisation of material property variation across an inertia friction welded CrMoV steel component using the inverse analysis of nanoindentation data |
| title_full_unstemmed | Characterisation of material property variation across an inertia friction welded CrMoV steel component using the inverse analysis of nanoindentation data |
| title_short | Characterisation of material property variation across an inertia friction welded CrMoV steel component using the inverse analysis of nanoindentation data |
| title_sort | characterisation of material property variation across an inertia friction welded crmov steel component using the inverse analysis of nanoindentation data |
| topic | Inertia Friction Welding Phase transformations nanoindentation FE modelling of depth-sensing indentation inverse analysis |
| url | https://eprints.nottingham.ac.uk/35531/ https://eprints.nottingham.ac.uk/35531/ https://eprints.nottingham.ac.uk/35531/ |