Analysis of roping in AA6111 automotive sheet

Wu, Peidong; Lloyd, D. J.; Bosland, A.; Jin, H.; MacEwen, S.R.

doi:10.1016/s1359-6454(02)00600-6

Cited by 77 publications

(62 citation statements)

References 15 publications

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“…The structural inhomogeneities can come from different sources such as second phase particles (Dao and Lie 2001;Hu et al 2008a), texture and grain morphology (Becker 1992;Dao and Lie 2001;Hu et al 2008a;Wu et al 2003Wu et al , 2004bZhao et al 2008), surface imperfections (Tvergaard 1993), etc.…”

Section: Introductionmentioning

confidence: 99%

“…A full 3D model with realistic imperfections, either macro or micro-meso scale (grains or second phase particles, for example), however, is nontractable currently even with the simplest constitutive laws adopted for constituent materials, since it needs an unrealistically large number of elements to cover all micro-meso scale and macro scale features. Therefore, most finite element studies that incorporate microstructural information to assess strain localization (Delannay et al 2008;Hu et al 2007Hu et al , 2008bKuroda and Tvergaard 2007;Wu et al 2004bWu et al , 2007 or other problems (Utsunomiya et al 2004a,b;Wu et al 2003;Wu and Lloyd 2004a;Zhang et al 2007), such as roping, surface roughening or just average response of stress, strain, etc., are still limited to two-dimensional simulations. There are some 3D unit-cell models with statistically generated grain structures (Delannay et al 2006(Delannay et al , 2008Miller et al 2008), a small portion of measured 3D grain structures (Nakamachi et al 2007) or large particles (Chawla et al 2004) by serial sectioning methods, but these studies usually account for the local or average response of stress, strains or texture evolution in globally uniform elasto-plastic deformation region.…”

Section: Introductionmentioning

confidence: 99%

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A parametric finite element study and an analytical model of particle distributions on post-necking deformation and failure mode in AA5754 aluminum alloy sheets

Wilkinson

Jain

et al. 2010

Int J Fract

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Finite element analysis of a simplified large particle field, edge constrained plane strain model is used for parametric studies of the influence of particle distributions on post-necking deformation and failure mode in AA5754 aluminum sheets. The models show that the post-necking deformation decreases with volume fraction of particles and fraction of stringers, and increases with interparticle spacing. It is to be noted that a stringer is a string of second phase particles that is frequently observed in continuous strip cast (CC) sheet aluminum alloys. The post-necking deformation initially decreases with the length of stringers, but after a critical stringer length, it increases. An analytical model to estimate the number of stringers which act as initial active damage sources is able to predict a critical stringer length for least post-necking deformation and can serve as a design tool.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A parametric finite element study and an analytical model of particle distributions on post-necking deformation and failure mode in AA5754 aluminum alloy sheets

Wilkinson

Jain

et al. 2010

Int J Fract

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“…It is well established that the 6XXX series aluminium alloys, which are used in automotive applications are prone to roping [1][2][3][4]. Various publications have shown that there is a correlation between the occurrence of roping and the spatial distribution of specific crystallographic orientations [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Surface Texture Modification for Improved Roping Behaviour of Aluminium Alloy 6016

Bennett

Petrov

Kestens

2010

SSP

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Abstract. The effect of two different intermediate annealing (IA) treatments on texture banding in a roping prone aluminium alloy was investigated. It was found that texture banding occurred in the final annealed material that underwent an IA treatment consisting of slow heating in which there was significant interaction between the recrystallizing grains and the particles in the material. A more uniform distribution of orientations in the final annealed material was obtained in the case of an IA treatment with fast heating so that there was no significant effect of particles on recrystallization. IntroductionIt is well established that the 6XXX series aluminium alloys, which are used in automotive applications are prone to roping [1][2][3][4]. Various publications have shown that there is a correlation between the occurrence of roping and the spatial distribution of specific crystallographic orientations [1][2][3][4]. In addition, it appears that the roping tendency of a material is connected with the precipitation state [5]. This is possible since the precipitation state can influence the recrystallization texture of the material. For example, Engler and Hirsch [6] investigated the recrystallization texture and plastic anisotropy in Al-Mg-Si sheet alloys [6], and reported different intensities of the {100}<001> Cube component in the final recrystallised textures in materials which had different dispersoid (particles dispersed in the material) densities. The Cube intensity was higher in the material that had a significant density of dispersoids compared to the case with a considerably lower fraction (of dispersoids) [6]. It was assumed that particle stimulated nucleation (PSN) was retarded by the dispersoids but Cube grains were still able to successfully nucleate at Cube bands [6]. Since particles can affect the final recrystallization texture formed in a material, it is conceivable that they can have some effect on the spatial distribution of crystallographic grains in these materials. As such, this paper explores the connection between particles and the eventual spatial distribution of Cube grains in a 6016 Al alloy.

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“…In addition, care has been taken in preparing the samples to prevent introducing an artificial surface texture. In terms of the second point, with the rapid development of both the hardware and software in EBSD technique, measurements of several thousands of grains can be easily realized within a few hours; [15] thus, EBSD can sample areas comparable to XRD.…”

Section: Introductionmentioning

confidence: 99%

“…For a sharp orientation distribution, the XRD algorithm in MTM-FHM will be problematic in obtaining an accurate volume fraction as it becomes infinitely small [15] (e.g., g 1 in Figure 3). However, for a broad orientation distribution (e.g., g 2 in Figure 3), one should be cautious to choose a suitable deviation angle that will not only reflect the broadness of the texture but also not lead to heavy overlap between the selected textures.…”

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confidence: 99%

On the Calculation of Volume Fraction of Texture Components in AA5754 Sheet Materials

Kang

Wright

et al. 2008

Metall Mater Trans A

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There is currently no general agreement on how to extract the volume fraction of texture components for aluminum alloy sheets based on X-ray diffraction (XRD) and electron backscatter diffraction (EBSD) techniques. In order to clarify this problem, grain orientation data of AA5754 sheet material in the O-temper were acquired using XRD and EBSD. The volume fractions of 10 selected texture components were calculated using the MTM FHM software package for XRD and EDAX-TSL OIM Analysis for EBSD. The measured grain orientation data from EBSD were then processed again using MTM FHM. The results show that there are no significant differences in the constructed pole figures using different measuring techniques when the same analysis system is used. Thus, the differences in volume fractions of texture components are mainly related to the deviation angle used in the two different software packages. The differences in the deviation angle used lead to potential overlaps between the selected texture components. A suitable deviation angle for the volume fraction calculation can be selected using the concept of misorientation.

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Analysis of roping in AA6111 automotive sheet

Cited by 77 publications

References 15 publications

A parametric finite element study and an analytical model of particle distributions on post-necking deformation and failure mode in AA5754 aluminum alloy sheets

A parametric finite element study and an analytical model of particle distributions on post-necking deformation and failure mode in AA5754 aluminum alloy sheets

Surface Texture Modification for Improved Roping Behaviour of Aluminium Alloy 6016

On the Calculation of Volume Fraction of Texture Components in AA5754 Sheet Materials

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