A unified test for evaluating material parameters for use in the modelling of sheet metal forming

Rao, K.P.; Mohan, E.

doi:10.1016/s0924-0136(01)00669-0

Cited by 9 publications

(5 citation statements)

References 21 publications

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“…which results in: According to the latest experimental results [2,9,11,12] no systematic increase or decrease of rtvalue with strain was observed, in contrast to previous reports in the literature. The test results for different materials and for different specimen orientation ( Fig.…”

Section: Plastic Anisotropy Rationmentioning

confidence: 49%

Instantaneous Plastic Flow Properties of Thin Brass Sheets Under Uniaxial and Biaxial Testing

Stachowicz¹

2011

AMS

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Section: Plastic Anisotropy Rationmentioning

confidence: 49%

Instantaneous Plastic Flow Properties of Thin Brass Sheets Under Uniaxial and Biaxial Testing

Stachowicz¹

2011

AMS

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“…By using Eq. [5], errors in length strain measurement were computed. Table II shows an example of these errors calculated for AA8011 type A alternative (12.5-mm fillet radius) and IF type A (36-mm fillet radius) specimens.…”

Section: A Length Strainmentioning

confidence: 99%

“…[1] In pursuing a reliable technique for precise determination of R-value, several authors have studied the effect of various factors, such as elastic strains, [2] specimen type, [3][4][5][6] locations along the gage length for strain measurements, [1,4,[6][7][8][9][10] angle between the tensile test axis and the rolling direction of the sheet, [11,12,13] and the amount of straining in the tension test. [14][15][16][17][18][19][20] Rao and Mohan [5] studied the effect of specimen geometry on the mechanical properties of commercial brass sheets and concluded that anisotropy values are similar in all ASTM E 8M-93 and 517 to 92a type A (dog-bone shaped) and type B (parallel strips) specimens. Liu [3] observed that R-values of AKDQ steel sheets obtained from both the parallel-sided and tapered specimens are indistinguishable.…”

Section: Introductionmentioning

confidence: 99%

“…There is some evidence that the plastic strain ratio of AA5052 aluminum sheet [20] and that of the IF steel sheets [19] vary with axial strain, while other works on a variety of materials report that only a slight dependence of the R-value on the strain has been observed. [5,24] These discrepancies might have been caused by the fact that the reported R-values for a specific material do not necessarily correspond to the same specimen geometry, gage length, and width measurement locations on the tensile specimens.…”

Section: Introductionmentioning

confidence: 99%

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Effect of specimen geometry, gage length, and width measurement locations on plastic strain ratio (R-value) in sheet metals

Chamanfar

Mahmudi

2006

Metall Mater Trans A

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The effects of gage length, width measurement locations, and specimen geometry on plastic strain ratio have been investigated for the AA8011 aluminum alloy and interstitial-free (IF) steel sheets. The specimens were ASTM E 517 to 92a subsize, type A, and type A alternative with, respectively, 37.5, 76, and 57 mm reduced parallel sections and with different fillet radii. In each specimen type, there were differences in axial strains of gage marks and changes in width strain over the reduced parallel section, which depend on the applied axial strain, reduced parallel section length, and fillet radius. Therefore, the magnitudes of the calculated R-values depend upon gage length, width measurement location, axial strain, and specimen geometry. These dependencies were more pronounced in the high R-value IF steel sheet relative to the low R-value AA8011 aluminum alloy sheet. The dependencies of R-value on gage length and width measurement location are negligible in all AA8011 specimens, while in IF specimens, these dependencies can be neglected only for type A specimens with 12.5-mm fillet radius. It is concluded that the observed differences in the measured R-values for specimens with different geometries can be attributed to the constraints imposed by the shoulders, which affect the width strain measurements and the resulting R-values.

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“… Rao & Mohan Emani (2001) established the prediction model based on neural network for metal deformation resistance during hot rolling. Wang, Chang & Hua (2012) proposed a method based on BP neural network with prediction of hot rolling aluminum transverse thickness according to multi-channel measurement characteristics of IMS transverse thickness collection, which predicted every channel thickness accurately and obtained the transverse thickness distribution of aluminum strip.…”

Section: Introductionmentioning

confidence: 99%

Strip thickness prediction method based on improved border collie optimizing LSTM

Sun

Lin²,

Zhou

et al. 2022

PeerJ Computer Science

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Background The thickness accuracy of strip is an important indicator to measure the quality of strip, and the control of the thickness accuracy of strip is the key for the high-quality strip products in the rolling industry. Methods A thickness prediction method of strip based on Long Short-Term Memory (LSTM) optimized by improved border collie optimization (IBCO) algorithm is proposed. First, chaotic mapping and dynamic weighting strategy are introduced into IBCO to overcome the shortcomings of uneven initial population distribution and inaccurate optimization states of some individuals in Border Collie Optimization (BCO). Second, Long Short-Term Memory (LSTM) which can effectively deal with time series data and alleviate long-term dependencies is adopted. What’s more, IBCO is utilized to optimize parameters to mitigate the influence of hyperparameters such as the number of hidden neurons and learning rate on the prediction accuracy of LSTM, so IBCO-LSTM is established. Results The experiments are carried out on the measured strip data, which proves the excellent prediction performance of IBCO-LSTM. The experiments are carried out on the actual strip data, which prove that IBCO-LSTM has excellent capability of prediction.

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A unified test for evaluating material parameters for use in the modelling of sheet metal forming

Cited by 9 publications

References 21 publications

Instantaneous Plastic Flow Properties of Thin Brass Sheets Under Uniaxial and Biaxial Testing

Instantaneous Plastic Flow Properties of Thin Brass Sheets Under Uniaxial and Biaxial Testing

Effect of specimen geometry, gage length, and width measurement locations on plastic strain ratio (R-value) in sheet metals

Strip thickness prediction method based on improved border collie optimizing LSTM

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