Optimization of superplastic hydroforming process of Aluminium alloy 5083

Hojjati, Mehdi; Zoorabadi, Mahdi; Hosseinipour, Seyed Jamal

doi:10.1016/j.jmatprotec.2007.11.208

Cited by 29 publications

(18 citation statements)

References 8 publications

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“…The newly developed PLC method and the experimental and FEM simulation results are in close agreement. Comparison of the latter has become imperative with the pressure prediction algorithms such as logarithmic algorithm [17] and constraint algorithm [18]. In a constraint algorithm method, the pressure was controlled by time incremental step from a minimum limit of 0.2 to a maximum level of 3 with different load magnitude, beyond this value the programme was abandoned and restarted according to the following load modifications: The obtained pressure profile at each time increment is applied on the free region of the sheet during forming.…”

Section: Prediction Of Best Pressure Control Methods With a Function Omentioning

confidence: 99%

“…Hojjati et al [17] have analysed the optimum pressure profile and thickness distribution using three different pressure levels (0.6 MPa, 0.8 MPa and 1 MPa) as well as constraint and logarithmic algorithms. They report that the logarithmic algorithm method gives better results for achieving uniform thickness distribution with minimum forming time.…”

Section: Prediction Of Best Pressure Control Methods With a Function Omentioning

confidence: 99%

“…The 72-mm diameter and 1.5 mm thick specimens were kept between the male and female parts. Next, the variable argon gas pressure was applied by three different pressure control method such as logarithmic algorithm [17], constraint algorithm [18] and the newly proposed PLC method. The thickness distribution, forming time and pressure cycle are evaluated for forming components with a function of three different pressure control methods.…”

Section: Fig 3 Illustrations Of Dimensions In Split Diementioning

confidence: 99%

“…Jarrar et al [16] have developed a constrained pressure prediction algorithm to predict optimum pressure, maintaining the maximum strain rate, and to obtain better thinning at different die entry regions of a mid-section of a rectangular pan. Based on a logarithmic pressure control algorithm to predict the pressure cycle and to maintain the maximum strain rate, Hojjati et al [17] reported that forming time decreases with better thickness distribution in a conical cup when compared to the results obtained using the constant pressure control and constraint control algorithm methods. In these studies, the authors have focused on thickness distribution and minimum forming time, using components with simple shapes.…”

Section: Introductionmentioning

confidence: 99%

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An Experimental Investigation and Numerical Simulation in SPF of AA 5083 Alloy using Programming Logic Control Approach

Balasubramanian

Ganesh

Ramanathan

et al. 2017

SV-JME

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A new programming logic control method is proposed to predict the pressure during the superplastic forming process with improved forming characteristics of AA 5083 alloy sheets. The method has produced a better uniformity thickness profile in a complex, multidimensional profile in comparison with existing methods. To optimize pressure during the forming process, it is possible to maintain an optimum strain rate. Accurate control of the magnitude and duration of forming pressure and, as a result, the achievement of uniform thickness distribution in the taper angle, die corner, entry regions, and micro-forming of the multidimensional dome has been proved in this paper. Profiles formed without significant wrinkles and necking have been obtained via the fine adjustment of the applied pressure. The experimentally obtained results, using a multidimensional dome profile, are compared with the finite element method (FEM) simulated results and both are found to be in good agreement. The influence of key factors such as strain rate sensitivity index and friction coefficient on the optimum pressure-time cycle and also on the thickness distribution of the profile have been investigated and optimized. Furthermore, the microstructure was examined in parent metal and superplastically formed components.

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Section: Prediction Of Best Pressure Control Methods With a Function Omentioning

confidence: 99%

Section: Prediction Of Best Pressure Control Methods With a Function Omentioning

confidence: 99%

Section: Fig 3 Illustrations Of Dimensions In Split Diementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Experimental Investigation and Numerical Simulation in SPF of AA 5083 Alloy using Programming Logic Control Approach

Balasubramanian

Ganesh

Ramanathan

et al. 2017

SV-JME

View full text Add to dashboard Cite

show abstract

“…Dezelak et al [21] have analysed the effect of twist spring back method for a metal sheet by using elastic-plastic shell elements in a FEM simulation. Hojjati et al [22] investigated the optimization of SPF parameters by employing the hydro forming process for an AA5083 alloy and proved that the maximum strain rate could be controlled via a logarithmic algorithm.…”

Section: Introductionmentioning

confidence: 99%