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A New Prediction Method for the Ultimate Tensile Strength of Steel Alloys with Small Punch Test
The load–deflection curve acquired from the Small Punch Test (SPT) is used to obtain the mechanical properties of materials using different correlation methods. The scattering level of these regressions tends to be high when a wide set of materials is analyzed. In this study, a correlation method ba...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163175/ https://www.ncbi.nlm.nih.gov/pubmed/30134585 http://dx.doi.org/10.3390/ma11091491 |
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author | Calaf Chica, Jose Bravo Díez, Pedro Miguel Preciado Calzada, Mónica |
author_facet | Calaf Chica, Jose Bravo Díez, Pedro Miguel Preciado Calzada, Mónica |
author_sort | Calaf Chica, Jose |
collection | PubMed |
description | The load–deflection curve acquired from the Small Punch Test (SPT) is used to obtain the mechanical properties of materials using different correlation methods. The scattering level of these regressions tends to be high when a wide set of materials is analyzed. In this study, a correlation method based on a specific slope of the SPT curve was proposed to reduce scattering. Assuming the Ramberg–Osgood hardening law, the dependence of the SPT curve slope on the yield strength and the hardening coefficient is demonstrated by numerical simulations (FEM). Considering that the ultimate tensile strength could be obtained from the hardening coefficient, a response surface of the ultimate tensile strength with the yield strength and SPT curve slope, along with its equation, is presented for steel alloys. A summary of steel mechanical properties, based on the Boiler and Pressure Vessel Code (BPVC) and limited to yield strengths lower than 1300 MPa, is shown to select a set of experimental tests (tensile tests and SPTs) for which the range is completely covered. This experimental analysis validates the previous FEM analyses and the validity of the proposed correlation method, which shows more accurate correlations compared to the current methods. |
format | Online Article Text |
id | pubmed-6163175 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61631752018-10-12 A New Prediction Method for the Ultimate Tensile Strength of Steel Alloys with Small Punch Test Calaf Chica, Jose Bravo Díez, Pedro Miguel Preciado Calzada, Mónica Materials (Basel) Article The load–deflection curve acquired from the Small Punch Test (SPT) is used to obtain the mechanical properties of materials using different correlation methods. The scattering level of these regressions tends to be high when a wide set of materials is analyzed. In this study, a correlation method based on a specific slope of the SPT curve was proposed to reduce scattering. Assuming the Ramberg–Osgood hardening law, the dependence of the SPT curve slope on the yield strength and the hardening coefficient is demonstrated by numerical simulations (FEM). Considering that the ultimate tensile strength could be obtained from the hardening coefficient, a response surface of the ultimate tensile strength with the yield strength and SPT curve slope, along with its equation, is presented for steel alloys. A summary of steel mechanical properties, based on the Boiler and Pressure Vessel Code (BPVC) and limited to yield strengths lower than 1300 MPa, is shown to select a set of experimental tests (tensile tests and SPTs) for which the range is completely covered. This experimental analysis validates the previous FEM analyses and the validity of the proposed correlation method, which shows more accurate correlations compared to the current methods. MDPI 2018-08-21 /pmc/articles/PMC6163175/ /pubmed/30134585 http://dx.doi.org/10.3390/ma11091491 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Calaf Chica, Jose Bravo Díez, Pedro Miguel Preciado Calzada, Mónica A New Prediction Method for the Ultimate Tensile Strength of Steel Alloys with Small Punch Test |
title | A New Prediction Method for the Ultimate Tensile Strength of Steel Alloys with Small Punch Test |
title_full | A New Prediction Method for the Ultimate Tensile Strength of Steel Alloys with Small Punch Test |
title_fullStr | A New Prediction Method for the Ultimate Tensile Strength of Steel Alloys with Small Punch Test |
title_full_unstemmed | A New Prediction Method for the Ultimate Tensile Strength of Steel Alloys with Small Punch Test |
title_short | A New Prediction Method for the Ultimate Tensile Strength of Steel Alloys with Small Punch Test |
title_sort | new prediction method for the ultimate tensile strength of steel alloys with small punch test |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163175/ https://www.ncbi.nlm.nih.gov/pubmed/30134585 http://dx.doi.org/10.3390/ma11091491 |
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