Property Control in Production of Aluminum Sheet by Use of Simulation

Hirsch, Jürgen; Karhausen, Kai F.; Engler, Olaf

doi:10.1002/3527603786.ch38

Cited by 9 publications

(16 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In conclusion, the present microchemistry-dependent model represents a major step towards alloy-dependent prediction of materials properties and mechanical response that is advantageous in alloy design as well as process and property optimization, e.g. within a through-process modeling framework for Al rolling [40].…”

Section: Discussionmentioning

confidence: 99%

Microchemistry-dependent simulation of yield stress and flow stress in non-heat treatable Al sheet alloys

Wong

Laptyeva

Brüggemann

et al. 2020

Modelling Simul. Mater. Sci. Eng.

View full text Add to dashboard Cite

A flow stress model which considers the processing conditions for a given alloy composition as well as the microchemistry of the alloy allows for integrated optimization of alloy composition, thermal treatments and forming operations to achieve the desired properties in the most efficient processing route. In the past, a statistical flow stress model for cell forming metals, 3IVM+ (3 Internal Variable Model), has been used for through process modeling of sheet production. However, this model was restricted to a given alloy in the state in which it was calibrated. In this work, the existing 3IVM+ model is augmented with an analytical solute strengthening model which uses input from ab initio simulations. Furthermore, a new particle strengthening model for non-shearable precipitates has been introduced which takes Orowan looping at low temperatures and dislocation climb at high temperatures into account. Hence, the present modeling approach considers the strengthening contributions from solutes, precipitates and forest dislocations. Three case studies on the alloys AA 1110, AA 3003 and AA 8014 are presented to assess the performance of the model in simulating the yield stress and flow stress of Al alloys over a wide range of temperatures and strain rates.

show abstract

Section: Discussionmentioning

confidence: 99%

Microchemistry-dependent simulation of yield stress and flow stress in non-heat treatable Al sheet alloys

Wong

Laptyeva

Brüggemann

et al. 2020

Modelling Simul. Mater. Sci. Eng.

View full text Add to dashboard Cite

show abstract

“…The typical conventional processing route to produce Al-alloy sheet, as described in [1] and [9] is depicted in Fig 1 (a) together with the main process parameters that affect the metallurgical processes involved and thus determine the corresponding microstructure evolution, i.e. size and form of the deformed and/or recrystallized grain structure (b), size, shape and (local) distribution of 2 nd phase particles (constituents and dispersoids) (c) and preferred grain textures developed (d).…”

Section: Fabrication Processes and Microstructure Evolutionmentioning

confidence: 99%

“…An even finer grain size and particle distribution is achieved by applying a fast multi-stand tandem mill hot-rolling process. The slab thickness is reduced to 8mm to 3mm under controlled cooling conditions in the range from 500°C to 300°C [9]. Here a fine grain size and a special crystallographic (cube) texture is formed, the main reason for anisotropy, essential for products for deep drawing or stretch-forming.…”

Section: Rollingmentioning

confidence: 99%

“…Here the material response to hot/cold deformation is described by the strain hardening function (= f(strain, strain rate and temperature)). For hot deformation a steady state is quickly reached that has been modelled by appropriate functions [9,18,20]. If initial and stage 4 strain hardening must be considered -as in cold rolling -a generalized Voce equation [21] is often applied successfully to predict rolling forces, torque and rolling mill set-up.…”

Section: Deformation Modelled By Dislocation Reactionmentioning

confidence: 99%

See 1 more Smart Citation

Through Process Modelling

Hirsch

2006

MSF

View full text Add to dashboard Cite

A new approach to improve existing and develop new simulation models and apply them in a sequence to simulate the complete production processes of Aluminium semi-finished products is described. The development has been a joint effort of academic and industrial partners developed in the frame of the VIR* European projects. It integrated advanced material models with industrial fabrication process models to predict the microstructures and properties in the complete production chain processes of Al sheet and profiles, i.e. by DC ingot casting, rolling and extrusion and analyze complex interactions of critical process parameters with the corresponding metallurgical mechanisms and predict the related material response and properties. The principles are discussed and examples are given for their successful application to simulate industrial fabrication processes.

show abstract

“…The hot rolling of aluminum alloys has been studied both experimentally and theoretically [1][2][3]. Static and dynamic recrystallization processes are the basic mechanisms that are used to control a microstructure.…”

Section: Introductionmentioning

confidence: 99%

Continuous dynamic recrystallization (CDRX) model for aluminum alloys

et al. 2017

View full text Add to dashboard Cite

The control of a microstructure, during and after hot forming, is crucial to tailor optimum mechanical properties for specific applications. Recrystallization is a key process which may contribute to a great extent to microstructure development. Dynamic recrystallization is becoming an attracting research area to investigate novel hot forming routes in order to maximize the performance of aluminum products while shortening the time required for manufacturing. A continuous dynamic recrystallization (CDRX) mathematical model was developed by Gourdet-Montheillet (GM) to predict the inherent phenomena of an AA1200 alloy. In the present work, the original GM model has been extended and applied to study CDRX in a 5052 aluminum alloy. The proposed model embodies a solid solution and second phase strengthening, through newly estimated kinetic factors and a kinetic constant, respectively, to discern the CDRX behavior of 5052 aluminum alloy compared to AA1200. The latter kinetic constant relies on the Kocks-Mecking-Estrin (KME) theory. The input law of the fraction of high angle boundaries (f HAB ), as a function of strain (e) (but independent of temperature and strain rate), is defined as the best fitting function of the experimental data. The results are presented in terms of stress-strain curves, dislocation density, and (sub) grain size, as these are important design parameters from an industrial and engineering viewpoint. The model has been validated successfully, from both a qualitative and quantitative point of view, against various literature data sources and tests (e.g., hot compression, hot plane strain compression, and equal channel angular pressing) pertaining to the 5052 alloy and other similar Al-Mg alloys.

show abstract

Property Control in Production of Aluminum Sheet by Use of Simulation

Cited by 9 publications

References 13 publications

Microchemistry-dependent simulation of yield stress and flow stress in non-heat treatable Al sheet alloys

Microchemistry-dependent simulation of yield stress and flow stress in non-heat treatable Al sheet alloys

Through Process Modelling

Continuous dynamic recrystallization (CDRX) model for aluminum alloys

Contact Info

Product

Resources

About