Process Simulation of Aluminium Sheet Metal Deep Drawing at Elevated Temperatures

Winklhofer, Johannes; Trattnig, Gernot; Lind, Christoph; Sommitsch, Christof; Feuerhuber, Hannes

doi:10.1063/1.3457656

Cited by 9 publications

(7 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Table 1: Mechanical properties and density of AA5754 [11] Young The experimental results for cylindrical deep drawing were taken from study of Winklhofer et al [11]. Used yield criteria are compared with experimental results at room temperature, 175 • C and 250 • C for 80 mm punch travel.…”

Section: Resultsmentioning

confidence: 99%

Effects of Temperature on Deep Drawing of an Aluminum Alloy for Different Yield Criteria and Hardening Models

Demirkol

Darendelıler

2022

KEM

View full text Add to dashboard Cite

In this study, the influences of temperature variation in deep drawing process are investigatedby changing the temperatures of the whole blank, a part of the blank, the punch and die fordifferent yield criteria and hardening models. Von-Mises criterion with isotropic, kinematic and combinedhardening and, Hill48 and Yld2003 yield criteria with isotropic hardening are considered toform the constitutive relations. Circular, square and complex shaped parts made of AA5754 materialare used in the numerical analyses. The local heating simulations are conducted for circular blanksand the drawability of the parts are evaluated by using the Johnson-Cook failure criteria. Hot formingand quenching and local heating analyses are also carried out for a complex shaped part. The resultsobtained by the finite element analyses for different constitutive equations are compared with eachother and experimental results according to thickness strain distribution, punch force variation andrim shape of the deformed blanks.

show abstract

Section: Resultsmentioning

confidence: 99%

Effects of Temperature on Deep Drawing of an Aluminum Alloy for Different Yield Criteria and Hardening Models

Demirkol

Darendelıler

2022

KEM

View full text Add to dashboard Cite

show abstract

“…The graph shows that maximum thinning at punch corner is lower in warm deep drawing as compared to deep drawing at room temperature. The numerical descriptive measures are shown in table 10. The results show that the standard deviation of thickness distribution in warm deep drawing is 6.76% lower than deep drawing at room temperature.…”

Section: 1mentioning

confidence: 88%

“…On top of that, the both die and punch heating technique also influences this outcome. Based on previous works, it been proven that partial heating in the holder or matrices area was much better when compared with the homogeneously heated tools [10]. …”

Section: Thickness Distribution Of Deep Drawn Square Cupmentioning

confidence: 99%

The effect of heating temperature and methods towards the formability of deep drawn square metal cup

Basril

Teng

Azuddin

et al. 2017

IOP Conf. Ser.: Mater. Sci. Eng.

View full text Add to dashboard Cite

The effect of heating temperature and methods towards the formability of deep drawn square metal cup Abstract. Deep drawing operation is one of the most crucial sheet metal forming processes in industrial applications, but it usually requires expensive multi-step production processes, which is necessary in order to produce complex parts. On top of that, room temperature may cause poor formability or failure due to mechanical properties of the material. The objective of this study is to investigate the effects of heating temperature and the most efficient heating position to perform warm square deep drawing operation without failure. Besides that, this study also aims to compare the thickness distribution of drawn cup's profile obtained from experiment and finite element analysis. A warm formability study of aluminium, mild steel and stainless steel sheet metals are tested by deep drawing experimental methods. The Taguchi approach, which applies L9 orthogonal array, is used to conduct experiments. Different sizes of square blanks are deep drawn at room temperature, 100°C, 150°C and 200°C using three heating techniques, which are heating die only, heating punch only and heating both the die and punch. The results show that warm deep drawing process has more uniform thickness distribution within the square cup profile compared to room temperature condition. Furthermore, maximum thinning condition at the punch corner is noticeably reduced. Lower and upper limit of heating temperature exists, as there is a low and hightemperature failure. Combination of stainless steel with 45 mm blank size, heating temperature of 150°C and die heating technique is optimal in order to obtain uniform thickness distribution in square cup deep drawing process.

show abstract

“…The latter has been reported to vary linearly with coefficient of friction, such that an increase in coefficient of friction for a small range leads to a decrease in the blank holding force. 15 However, Winklhofer et al 16 have demonstrated that velocity of the tool had more influence on formability of the output while assessing the impact of process parameters like drawing depth, drawing ratio, blank holder pressure, and punch velocity on forming of aluminium sheet metals at very high temperatures. Deep drawing and shallow drawing are vast fields of study and still remain an active area of research, although several experimental and research works on innumerable aspects of modelling, simulation methods with optimisation have been carried out during the past decades.…”

Section: Literature Reviewmentioning

confidence: 99%

Process parameter optimisation of a minster draw‐redraw system

Seechurn

Ramlugun

2019

Engineering Reports

View full text Add to dashboard Cite

Non‐conformance in Unit Depth Value (UDV) of expansion rings for metal cans makes them prone to major defects, such as swells and distortions, during the Drawing/Redrawing industrial process. In this paper, with the aim of improving the manufacturing process quality, the process parameters for the Minster Draw/Redraw machine at a generic company are optimised so as to obtain the desired UDV. The Taguchi method is used to determine the most influential process parameters. Nine experiments have been performed with four selected parameters, namely, Upper Blank Holder Pressure, Lower Blank Holder Pressure, Profile Pad Pressure, and Inner Ram Value. A multiple‐linear regression analysis is also conducted to demonstrate the relationship between UDV and the considered parameters. The best settings for the respective process parameters are obtained via Analysis of Means (ANOM). Furthermore, Analysis of Variance (ANOVA) shows that the Inner Ram Value is the process parameter that most significantly affects the formation of expansion rings. The same methodology proposed in this study can easily be extended to find the optimum settings of process parameters for different can heights. Finally, an equation is formulated to predict the setting values of the most significant process parameters under user‐specified UDVs.

show abstract

Process Simulation of Aluminium Sheet Metal Deep Drawing at Elevated Temperatures

Cited by 9 publications

References 12 publications

Effects of Temperature on Deep Drawing of an Aluminum Alloy for Different Yield Criteria and Hardening Models

Effects of Temperature on Deep Drawing of an Aluminum Alloy for Different Yield Criteria and Hardening Models

The effect of heating temperature and methods towards the formability of deep drawn square metal cup

Process parameter optimisation of a minster draw‐redraw system

Contact Info

Product

Resources

About