153
Views
3
CrossRef citations to date
0
Altmetric
Articles

Experimental investigation of punch curvature influence in Nakazima test and numerical FLD prediction of AA5086

, , , &
Pages 12-25 | Received 09 Sep 2019, Accepted 30 Jan 2020, Published online: 28 Sep 2020
 

Abstract

In this article, the influence of punch curvature on the forming limit curve (FLC) of AA5086 aluminum alloy sheet was studied by Nakazima test. Based on the digital image correlation (DIC) and the position-dependent method, the FLC of AA5086 aluminum alloy sheet was built, and the strain paths evolution during Nakazima test was analyzed. It was found that both the determined FLCs presented a phenomenon of shifting to the right side, and the FLCs with Φ44.45 mm punch was generally higher than that with Φ100 mm punch. The strain paths analyses show that the geometrical shape of the hemispherical punch leads to a biaxial pre-strain tension at the initial stage of the deformation. Furthermore, numerical simulation of Nakazima model was carried out to predict the FLC. For FE Nakazima model, the friction coefficient was calibrated according to strain path evolution. With a proper friction coefficient, the FE model presents a good FLC prediction compared to experimental results.

Additional information

Funding

This work was supported by the [Natural Science Foundation of Shandong Province] under grant [number ZR2019MEE008], [National Natural Science Foundation of China] under grant [number 51405266] and [Young Scholars Program of Shandong University, Weihai] under grant [YSPSDUWH].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 2,630.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.