Inverse analysis applied to the evaluation of material parameters in the history dependent flow stress equation in hot forming of metals

Kusiak, J.; Kawalla, Rudolf; Pietrzyk, M.; Pircher, H.

doi:10.1016/0924-0136(96)02370-9

Cited by 30 publications

(12 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Flow stress is affected by many factors, such as alloying composition [10], microstructure [11,12], texture and deformation mode, temperature and deformation speed [13]. At given material properties, the shape of flow curve is primarily affected by deformation mode, strain rate and temperature.…”

Section: Deformation Mechanism Of Mg Alloys At the Elevated Temperaturementioning

confidence: 99%

Flow stress modeling of AZ91 magnesium alloys at elevated temperature

Raghunath¹,

Raghukandan²,

Karthikeyan³

et al. 2011

Journal of Alloys and Compounds

View full text Add to dashboard Cite

Section: Deformation Mechanism Of Mg Alloys At the Elevated Temperaturementioning

confidence: 99%

Flow stress modeling of AZ91 magnesium alloys at elevated temperature

Raghunath¹,

Raghukandan²,

Karthikeyan³

et al. 2011

Journal of Alloys and Compounds

View full text Add to dashboard Cite

“…The inverse FE method has been used also by other authors for different applications [4,5]. In this case, the parameters of the assumed flow stress law are iteratively adjusted until the results of the FE simulations meet the experimental data.…”

Section: The Hydraulic Bulge Testmentioning

confidence: 99%

An inverse energy approach to determine the flow stress of tubular materials for hydroforming applications

Strano

Altan

2004

Journal of Materials Processing Technology

View full text Add to dashboard Cite

“…The flow stress-strain curve simplified from reference [7] is shown in FIGURE 6. The parameters used in the simulation are work roll radius r=117.5 mm, tangent speed of work roll surface v t =150 mm/s, strip half thickness t=10 mm, strip length l=300 mm, initial strip horizontal speed v o =100 mm/s.…”

Section: Examplementioning

confidence: 99%

A Simulation of Surface Roughness in Hot Strip Rolling

Tang¹,

Tieu²,

Jiang³

2004

AIP Conference Proceedings

View full text Add to dashboard Cite

In hot strip rolling the temperature range is 800-1000 qC where an oxide scale layer is formed on the steel surface. In this paper, the authors consider a model of surface roughness based on Gaussian distribution function, where a rough surface profile or surface section profile with specified roughness parameters can be generated easily and analysed. The effect of roughness parameters on the change of surface roughness is also considered. The aim of this study is to determine the surface roughness and the asperity deformation at the scale-steel interface and the final roughness profile of the rolled strip after the hot finishing mill. Based on the MSC-MARC package, a finite element method (FEM) model is used to simulate the hot strip rolling asperity deformation and surface roughness transfer of the oxide scale and the steel surface roughness. The generated profile of surface roughness is verified by the scanned surface profile of the oxidized hot strip.

show abstract

Inverse analysis applied to the evaluation of material parameters in the history dependent flow stress equation in hot forming of metals

Cited by 30 publications

References 5 publications

Flow stress modeling of AZ91 magnesium alloys at elevated temperature

Flow stress modeling of AZ91 magnesium alloys at elevated temperature

An inverse energy approach to determine the flow stress of tubular materials for hydroforming applications

A Simulation of Surface Roughness in Hot Strip Rolling

Contact Info

Product

Resources

About