FEM simulation and experimental research on the AlMg4.5Mn0.4 sheet blanking

Shu-qin, XU; Hoogen, Michael; Pyttel, Thomas; Hoffmann, Hartmut

doi:10.1016/s0924-0136(01)01239-0

Cited by 13 publications

(9 citation statements)

References 1 publication

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“…When previous studies are concerned, the study conducted by Tekiner et al [3], showed that the blanking forces changed significantly with an increase in clearance. However, in the studies conducted by Shuqin et al and Gang et al [4,7], it is seen that the blanking force decreases slightly with an increase in clearance. When the graphics of the relation between the clearance and the blanking force obtained from experimental results was examined, it was determined that blanking forces occurring through an increase in clearance did not change significantly.…”

Section: Blanking Forcementioning

confidence: 93%

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The Relationship of Burr Height and Blanking Force with Clearance in the Blanking Process of AA5754 Aluminium Alloy

Çavuşoğlu

Gürün

2017

T FAMENA

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SummaryThe effect of clearance and sheet thickness in the AA5754 sheet material blanking process on the burr formation and blanking force was examined experimentally. Measurements of the burr height and blanking force were performed in a modular die with six different clearance values (8 %, 10 %, 12 %, 14 %, 16 % and 18 %) by applying the blanking process to the AA5754 sheet metal of 1 mm and 2 mm in thickness. The influence rate of parameters affecting the burr height, the blanking force, and the mathematical relationship between them were identified by using the analysis of variance (ANOVA) and the regression analysis. Thus, it was determined that the burr formation increased with increased clearance and that the blanking force was not affected in the same proportion. In addition, it was found that the sheet thickness and clearance affected the burr formation at rates of 23.24 % and 76.15 %, respectively; on the other hand, the sheet thickness and clearance affected the blanking force at rates of 99.72 % and 0.24 %, respectively.

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Section: Blanking Forcementioning

confidence: 93%

“…Therefore, the optimal clearance value should be selected. The amount of clearance varies, depending on the sheet thickness and mechanical properties of the material [3][4]. In case the clearance value is below the optimal value, the blanking force and stress on the die surfaces will increase and the die life will decrease.…”

Section: Introductionmentioning

confidence: 99%

The Relationship of Burr Height and Blanking Force with Clearance in the Blanking Process of AA5754 Aluminium Alloy

Çavuşoğlu

Gürün

2017

T FAMENA

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“…(13) in the case of edge drawin. When the blank diameter is 6 mm, the relation between t c and Cl e is given by…”

Section: Depth Of Crack Penetration (T C )mentioning

confidence: 99%

“…However, such calculations are extremely complex due to the presence of large deformations, ductile fractures and crack propagation. Using computational methods, several authors [10][11][12][13][14][15][16] have tried to predict tool wear and form errors in blanked parts, as well as the optimum clearance that reduces such form errors.…”

Section: Introductionmentioning

confidence: 99%

Modelling and experimental analysis of the effects of tool wear on form errors in stainless steel blanking

Hernández

Franco

Amestoy

et al. 2006

Journal of Materials Processing Technology

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“…The effect of clearance on the product shape is tried to be predicted in [3] by using FEM. Similarly, the blanking process is experimentally studied in [4] by using FEM. By performing sheet metal blanking analysis, a comparison between the FEM-based analysis results with the experimental ones is presented in [5].…”

Section: Introductionmentioning

confidence: 99%

Modelling of the clearance effects in the blanking process of CuZn30 sheet metal using neural network − a comparative study

Çelik¹,

Çavuşoğlu²,

Gürün³

et al. 2018

Bilişim Teknolojileri Dergisi

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Clearance effects on the product quality and blanking force in sheet metal blanking process are first investigated experimentally, and then modelled through neural network (NN) approach. Using eleven clearance values ranging from 8% to 18% with sampling of 1%, blanking process is applied to sheet material CuZn30 with a thickness of 1mm. During the experiments, blanking force, smooth sheared/fractured rate and burr height for the resulting products are measured for each clearance value, and as such, 11 data samples have been prepared. Six of them are taken as training data to train the network while with the remaining for testing purposes. Several estimation results are illustrated which verify that the presented NN can estimate the nonlinear relationship of blanking force, smooth sheared/fractured rate and burr height with the clearance with a maximum error of about 1%. These results are also compared to those offered by a recent study benefitting from fuzzy logic whose design is a challenge requiring proper and sufficient expert knowledge for tuning of numbers and shapes of membership functions, linguistic control rules. We conclude that better estimation accuracy and design simplicity are important advantages of our proposal.

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FEM simulation and experimental research on the AlMg4.5Mn0.4 sheet blanking

Cited by 13 publications

References 1 publication

The Relationship of Burr Height and Blanking Force with Clearance in the Blanking Process of AA5754 Aluminium Alloy

The Relationship of Burr Height and Blanking Force with Clearance in the Blanking Process of AA5754 Aluminium Alloy

Modelling and experimental analysis of the effects of tool wear on form errors in stainless steel blanking

Modelling of the clearance effects in the blanking process of CuZn30 sheet metal using neural network − a comparative study

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