Soundness Discrimination in Ferrite Ductile Irons Through Tensile Data Analysis
| Autor: | G. Bertuzzi, M. Cova, Franco Zanardi, Giuliano Angella |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
tensile properties
Materials science Structural material 020502 materials Metals and Alloys Strain energy density function 02 engineering and technology engineering.material Microstructure heavy sections Industrial and Manufacturing Engineering 020501 mining & metallurgy microstructure quality assessment Y-blocks 0205 materials engineering Mechanics of Materials Ferrite (iron) Ductile iron Ultimate tensile strength ductile irons Materials Chemistry engineering Graphite Composite material Necking |
| Zdroj: | International journal of metalcasting 14 (2020): 816–826. doi:10.1007/s40962-020-00435-0 info:cnr-pdr/source/autori:Angella, G.; Cova, M.; Bertuzzi, G.; Zanardi, F./titolo:Soundness Discrimination in Ferrite Ductile Irons Through Tensile Data Analysis/doi:10.1007%2Fs40962-020-00435-0/rivista:International journal of metalcasting/anno:2020/pagina_da:816/pagina_a:826/intervallo_pagine:816–826/volume:14 |
| DOI: | 10.1007/s40962-020-00435-0 |
| Popis: | Ferritic ductile iron (DI) GJS 400 and high-silicon strengthened ductile irons (HSSDIs) with 3.5 and 4.5 wt% of silicon contents were produced with different cooling rates, and the microstructures were analyzed to find the main microstructure parameters. The Y-blocks GJS 400 presented good nodularity, while the heavy section GJS 400 presented some graphite degeneracy with a lower nodularity. The 3.5 wt% HSSDI shown a good nodularity, while with increasing silicon content to 4.5 wt%, significant graphite degeneracy occurred with the appearance of chunky graphite. Samples were tensile tested and the tensile data were analyzed through the physical-based constitutive Voce equation, and the Voce parameters were plotted to produce a matrix assessment diagram (MAD). Y-blocks and heavy section GJS 400 data lied on two distinct lines in MAD, and they had, however, positive and negative intercepts which meant indeed two contradictory plastic behaviors. The intercept of the best fitting line of the GJS 400 Y-blocks data was positive and so consistent with the physical meaning of Voce equation, while the intercept of the best fitting line of the GJS 400 heavy section data was negative, which meant an unexpected opposite plastic behavior. Same behavior was reported for the investigated HSSDIs, resulting in positive intercept of the best fitting line in MAD for the 3.5 wt% HSSDI data and negative intercept for the 4.5 wt% HSSDI data. The uniform strain energy density (SEDU) that is the area below the tensile flow curve up to the uniform strain, i.e., the strain where necking begins, was also investigated. SEDU resulted to be almost constant for all the GJS 400 Y-blocks tensile flow curves and 3.5 wt% HSSDI, which was typical of a sound material, while in GJS 400 heavy section and 4.5 wt% HSSDI, SEDU changed significantly in a systematic way, indicating that metallurgical defects had affected the plastic behavior. So it was concluded that in the MAD the best fitting line of the tensile data with positive intercept was a possible indication of the material soundness, while the negative intercept was indication of defected material. The results suggested that the MAD analysis produced from tensile Voce parameters can be a useful and easy tool for industry not only to classify the production routes of DIs (Si content mainly and heat treatments), but also to identify possible microstructure poorness within a single DI grade. |
| Databáze: | OpenAIRE |
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