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Prediction of the Work-Hardening Exponent for 3104 Aluminum Sheets with Different Grain Sizes
A practical approach to predict the yield strength and work-hardening exponent (n value) to evaluate the deep-drawing performance of annealed 3104 aluminum sheets is presented in the present work by only measuring and analyzing the grain size of the sheet. The various grain sizes were obtained throu...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695935/ https://www.ncbi.nlm.nih.gov/pubmed/31349592 http://dx.doi.org/10.3390/ma12152368 |
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author | Tian, Ni Yuan, Fei Duan, Ceheng Liu, Kun Wang, Guangdong Zhao, Gang Zuo, Liang |
author_facet | Tian, Ni Yuan, Fei Duan, Ceheng Liu, Kun Wang, Guangdong Zhao, Gang Zuo, Liang |
author_sort | Tian, Ni |
collection | PubMed |
description | A practical approach to predict the yield strength and work-hardening exponent (n value) to evaluate the deep-drawing performance of annealed 3104 aluminum sheets is presented in the present work by only measuring and analyzing the grain size of the sheet. The various grain sizes were obtained through the different annealing treatment and then the evolution of the n value under different strains and the yield strength of annealed 3104 aluminum sheet were evaluated. Results showed that the n value and yield strength vary greatly with the grain size. A mathematical model relating grain size d, work-hardening exponent n, target strain ε, and yield strength R(p0.2) was developed in the present work. Within the studied grain size range d (12–29 μm), the n value generally increased with d in a strain-dependent manner, such that [Formula: see text] when the ε was less than 0.5%, but [Formula: see text] when the ε was greater than 2%. On the other hand, the n value was found to depend on the target strain ε as [Formula: see text] , where A(1) varies with d and its value is in the range of 0.132–0.364. In addition, the relationship between R(p0.2) and d followed the Hall-Petch equation ([Formula: see text]). |
format | Online Article Text |
id | pubmed-6695935 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66959352019-09-05 Prediction of the Work-Hardening Exponent for 3104 Aluminum Sheets with Different Grain Sizes Tian, Ni Yuan, Fei Duan, Ceheng Liu, Kun Wang, Guangdong Zhao, Gang Zuo, Liang Materials (Basel) Article A practical approach to predict the yield strength and work-hardening exponent (n value) to evaluate the deep-drawing performance of annealed 3104 aluminum sheets is presented in the present work by only measuring and analyzing the grain size of the sheet. The various grain sizes were obtained through the different annealing treatment and then the evolution of the n value under different strains and the yield strength of annealed 3104 aluminum sheet were evaluated. Results showed that the n value and yield strength vary greatly with the grain size. A mathematical model relating grain size d, work-hardening exponent n, target strain ε, and yield strength R(p0.2) was developed in the present work. Within the studied grain size range d (12–29 μm), the n value generally increased with d in a strain-dependent manner, such that [Formula: see text] when the ε was less than 0.5%, but [Formula: see text] when the ε was greater than 2%. On the other hand, the n value was found to depend on the target strain ε as [Formula: see text] , where A(1) varies with d and its value is in the range of 0.132–0.364. In addition, the relationship between R(p0.2) and d followed the Hall-Petch equation ([Formula: see text]). MDPI 2019-07-25 /pmc/articles/PMC6695935/ /pubmed/31349592 http://dx.doi.org/10.3390/ma12152368 Text en © 2019 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 Tian, Ni Yuan, Fei Duan, Ceheng Liu, Kun Wang, Guangdong Zhao, Gang Zuo, Liang Prediction of the Work-Hardening Exponent for 3104 Aluminum Sheets with Different Grain Sizes |
title | Prediction of the Work-Hardening Exponent for 3104 Aluminum Sheets with Different Grain Sizes |
title_full | Prediction of the Work-Hardening Exponent for 3104 Aluminum Sheets with Different Grain Sizes |
title_fullStr | Prediction of the Work-Hardening Exponent for 3104 Aluminum Sheets with Different Grain Sizes |
title_full_unstemmed | Prediction of the Work-Hardening Exponent for 3104 Aluminum Sheets with Different Grain Sizes |
title_short | Prediction of the Work-Hardening Exponent for 3104 Aluminum Sheets with Different Grain Sizes |
title_sort | prediction of the work-hardening exponent for 3104 aluminum sheets with different grain sizes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695935/ https://www.ncbi.nlm.nih.gov/pubmed/31349592 http://dx.doi.org/10.3390/ma12152368 |
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