Influence of friction condition on failure location of AA5754 aluminium sheet in Nakajima test

Slota, Ján; Šiser, Marek

doi:10.7862/rm.2018.05

Cited by 2 publications

(1 citation statement)

References 7 publications

(10 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This research is necessary for Stamping and designer engineers because it undergoes ISO 12004-2:2021 (5) condition, which states, "Friction should be adjusted, where Tearing(crack) occurs at displacement less than 15 % away from the centre of sample apex of punch diameter used in the test". The previous studies (6,7,8,9,10) in this field are dependent on the linear relationship of Coulomb's Friction Law, which is valid only when normal contact pressure is not excess shear flow stress of sheet material. Then, the coefficient of friction can be taken to any constant positive value.…”

Section: Introductionmentioning

confidence: 99%

Numerical Analysis of the Effect of Coefficient of Friction on the Formability Behaviour of Aluminium AA1060 in the Stretch-Forming Process

Habeeb,

Abed,

Singal

2024

Salud, Ciencia y Tecnología - Serie de Conferencias

View full text Add to dashboard Cite

In sheet metal forming processes, the success of the forming process depends on several primary parameters such as the geometry of the tool, Sheet Material Properties, and the Friction in the contact area (tool/workpiece interface). In addition, the process parameters like punch crosshead, deformation temperature, surface roughness of both punch head and sheet blank, lubricant state, and the value of the applied load. Friction in the actual contact area plays a significant effect in obtaining a high-quality part and reducing the production cost. The study provides a new idea to specify the suitable Coefficient of Friction (COF) used when forming Aluminium AA1060, taken according to Coulomb’s Friction Law and Stribeck Diagram for different lubricant states. The methodology of this research is based on the finite element analysis using ABAQUS/CAE 2020 of the Nakajima Formability Test for different Coefficients of Friction (COF) that are taken from Stribeck’s Diagram according to sheet material type, where the suitable Coefficient of Friction (COF) that achieves ISO 12004-2 condition to consider the sheet material successful in the test and valid for use in the manufacturing process. Results show that the Coefficient of Friction (COF) significantly affects the Formability behaviour and specifies the Location of Tearing (crack), where at higher (COF), the Formability of Aluminium AA1060 is decreased. The Tearing (crack) occurs near the circumference of the sample. Consequently, the sample was considered failed in the test and invalid to use in manufacturing processes. At the same time, when (COF) is low, the Formability of the sheet material increases, and tearing occur near the centre of the sample apex, so the sample is considered successful in the test and valid to use in the manufacturing process according to ISO 12004-2.

show abstract

Section: Introductionmentioning

confidence: 99%

Numerical Analysis of the Effect of Coefficient of Friction on the Formability Behaviour of Aluminium AA1060 in the Stretch-Forming Process

Habeeb,

Abed,

Singal

2024

Salud, Ciencia y Tecnología - Serie de Conferencias

View full text Add to dashboard Cite

show abstract

A novel integrated framework for reproducible formability predictions using virtual materials testing

Plowman¹,

Jedrasiak²,

Crowther³

et al. 2023

MaterialsOpenRes

View full text Add to dashboard Cite

Background: Formed aluminium alloy sheet materials are increasingly adopted in production processes such as vehicle manufacturing, due to the potential for weight-saving and improved recyclability when compared to more traditional steel alloys. To maximise these benefits whilst maintaining sufficient mechanical properties, the link between formability and microstructure must be better understood. Virtual materials testing is a cost-effective strategy for generating microstructure-informed formability predictions. Methods: We developed an open-source hybrid framework, combining experimental and computational tasks, for generating reproducible formability predictions. Starting with experimental texture measurements and stress-strain curves, we calibrated crystal plasticity (CP) model parameters. The framework used these parameters to perform a large set of multiaxial full-field CP simulations, from which various anisotropic yield functions were fitted. With these anisotropy parameters, we then employed a Marciniak-Kuczynski finite-element model to predict forming limit curves, which we compared with those from experimental Nakazima tests. Results: We executed the workflow with the aluminium alloy Surfalex HF (AA6016A) as a case study material. The 18-parameter Barlat yield function provided the best fit, compared to six-parameter functions. Predicted forming limits depended strongly on the chosen hardening law, and good agreement with the experimental forming limit curve was found. All of the generated data have been uploaded to the Zenodo repository. A set of Jupyter notebooks to allow interactive inspection of our methods and data are also available. Conclusions: We demonstrated a robust methodology for replicable virtual materials testing, which enables cheaper and faster formability analyses. This complete workflow is encoded within a simple yet highly customisable computational pipeline that can be applied to any material. To maximise reproducibility, our approach takes care to ensure our methods and data — and the ways in which that data is processed — are unambiguously defined during all steps of the workflow.

show abstract

Influence of friction condition on failure location of AA5754 aluminium sheet in Nakajima test

Cited by 2 publications

References 7 publications

Numerical Analysis of the Effect of Coefficient of Friction on the Formability Behaviour of Aluminium AA1060 in the Stretch-Forming Process

Numerical Analysis of the Effect of Coefficient of Friction on the Formability Behaviour of Aluminium AA1060 in the Stretch-Forming Process

A novel integrated framework for reproducible formability predictions using virtual materials testing

Contact Info

Product

Resources

About