Theoretical and experimental investigation of deep drawing of tailor-welded IF steel blanks with non-uniform blank holder forces

Asadian-Ardakani, Mohammad Hossein; Morovvati, M.R.; Mirnia, Mohammad Javad; Dariani, Bijan Mollaei

doi:10.1177/0954405415577559

Cited by 14 publications

(9 citation statements)

References 26 publications

(40 reference statements)

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“…In contrast, Wang et al 113 analysed the welding line moment behaviour for deep drawing process of TWB sheet with different thickness using FEM technology. Also, the theoretical and experimental approach was used by Asadian-Ardakani et al 114 to investigate the effect of non-uniform BHF on the deep drawing of a rectangular cup of tailor-welded IF steel blanks. It was observed that the weld line displacement was influenced by parameters such as thickness ratio, coefficient of friction, punch and die radius and BHF.…”

Section: Wrinkling Effectmentioning

confidence: 99%

A review on effect of thinning, wrinkling and spring-back on deep drawing process

Babu

2018

Proceedings of the Institution of Mechanical Engineers, Part B:

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There are various processes practiced in a market for manufacturing axisymmetrical cup with significant forming depth among which deep drawing process is most prompt. The deep drawing process is a forming process with ongoing interest which will have a major impact on industries in coming years. This article focuses on the current status and potential of future development of technology in the deep drawing process. First, it describes various types of approaches and techniques used in the deep drawing of different materials. This is followed by brief reviews of advantages and limitations of these technologies with its application in industries. The details of these technologies are just referred rather than explaining in detail. The further part of this article focuses on advanced methods for predicting defects like thinning, wrinkling and spring-back in deep drawing process which are mostly responsible for rejection of the components. The opportunity in the development of flexibility in deep drawing process is covered with an observed barrier in the prediction of defects such as thinning, wrinkling and spring-back. The obtained evidence indicates that deep drawing process may not be applicable for all materials, but represents an excellent opportunity in the drawing of multilayer metal and composite material sheets to complex shapes.

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Section: Wrinkling Effectmentioning

confidence: 99%

A review on effect of thinning, wrinkling and spring-back on deep drawing process

Babu

2018

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…Kridli et al [21] investigated the formability of aluminum TWBs using a limiting dome height test. Asadian-Ardakani et al [22] investigated the deep drawing process of interstitial-free steel TWBs with non-uniform blank holder forces, both theoretically and experimentally. Panda et al [23] investigated the tensile properties of steel TWBs and their formability in stretch forming.…”

Section: Introductionmentioning

confidence: 99%

Neural Network-Based Multi-Objective Optimization of Adjustable Drawbead Movement for Deep Drawing of Tailor-Welded Blanks

et al. 2022

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To improve the formability in the deep drawing of tailor-welded blanks, an adjustable drawbead was introduced. Drawbead movement was obtained using the multi-objective optimization of the conflicting objective functions of the fracture and centerline deviation simultaneously. Finite element simulations of the deep drawing processes were conducted to generate observations for optimization. The response surface method and artificial neural network were used to determine the relationship between variables and objective functions; the procedure was applied to a circular cup drawing of the tailor-welded dual-phase steel blank. The results showed that the artificial neural network had better prediction capability and accuracy than the response surface method. Additionally, the non-dominated sorting-based genetic algorithm (NSGA-II) could effectively determine the optima. The adjustable drawbead with the optimized movement was confirmed as an efficient and effective solution for improving the formability of the deep drawing of tailor-welded blanks.

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“…4–7 , and it is difficult to ensure the reliability of forming method by controlling blank holder force. 8…”

Section: Introductionmentioning

confidence: 99%

A novel process of sheet metal inverse bulging pre-deformation for deep drawing forming using magnetorheological fluid as flexible media

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part B:

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At the Magnetic field condition, the surface quality of formed parts can be improved significantly. To investigate the technical advantages of Magnetorheological (MR) fluid as a soft media, eliminate the defects of the parts because of the complex deformation, such as wrinkling, cracking, and over thinning. A new method of sheet deep drawing forming with MR fluid through inverse bulging pre-forming was proposed, which has made the wall thickness distribution more uniform and changed the stress distribution of sheet by changing the rheological property of MR fluid. The theoretical pressure transfer model of MR fluid as media and the configuration model of inverse bulging pre-forming are established. It can be concluded that the relationship between bulge height and load time have been shown consistency compared with experimental results and agree well with the theoretical analysis. And the configuration model have shown good agreement from the experiments results and the numerical results espectively with theoretical results. The uniformity of the wall thickness and the surface quality of the deep-drawn parts are improved significantly with the increase of the inverse bulging height. When the inverse bulging height is about 9 mm, the pre-forming effect is optimal, which provides theoretical guidance and is of much potential to the forming of the and thin-walled complex parts in industry fields.

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Theoretical and experimental investigation of deep drawing of tailor-welded IF steel blanks with non-uniform blank holder forces

Cited by 14 publications

References 26 publications

A review on effect of thinning, wrinkling and spring-back on deep drawing process

A review on effect of thinning, wrinkling and spring-back on deep drawing process

Neural Network-Based Multi-Objective Optimization of Adjustable Drawbead Movement for Deep Drawing of Tailor-Welded Blanks

A novel process of sheet metal inverse bulging pre-deformation for deep drawing forming using magnetorheological fluid as flexible media

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