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Communication dans un congrès

Multi-Physics Couplings in Metal Forming Processes

Abstract : Computer modelling of metal forming processes started more than thirty years ago. At the beginning it was essentially focused on direct mechanical modelling of large deformations, and it remains largely based on the use of the finite element method. However, the different stages of the manufacturing processes for industrial metal parts often involve, beyond the mechanical deformation processes, other physical coupled problems such as heat transfer, fluid-solid coupling, electromagnetism or metallurgy. An accurate modelling of forming processes thus needs to consider these problems and to couple them. Regarding heat transfer coupling, in most software tools coupling between mechanical and thermal equations is not performed at the increment level, as the scheme consists of first computing the thermal field then the mechanical field (without a fixed-point iteration algorithm). If thermal and mechanical coupling is quite strong, such as in processes where localization in narrow shear bands can occur (for example, high speed machining) the previous method is not satisfactory and a fixed-point algorithm may not converge. In this case it is preferable to solve simultaneously the mechanical and thermal equations. Fluid-solid coupling is an important issue. During heating in a furnace we must take into account the flow of the surrounding gas, and heat exchange between the gas and the preforms, in order to determine precisely the temperature field inside the worked pieces that will be formed. The problem is even more complicated when one wants to predict the quenching process with water which will be vaporised on contact with a hot piece. The prediction of the temperature evolution is important, as it will be responsible for the geometric change of the part and the microstructure evolution. An analogous situation arises in the casting of large work pieces during the cooling process, when a solid fraction interacts with a moving fluid with complicated thermal and mechanical evolutions. An efficient frame for this coupling is to use an ALE formulation for the liquid phase where the material velocity v is different from the mesh velocity vg, which will be defined by a smoothing operator. Electromagnetic couplings may be involved through the use of direct or induced currents for thermal purposes: (a) in order to generate heat inside a work piece to obtain either a prescribed temperature field or some given mechanical or metallurgical properties through an accurate control of temperature evolution with respect to time, or (b) for solid or fluid mechanics purposes, in order to create magnetic forces such as in fluid mechanics (for example, electromagnetic stirring) or solid mechanics (for example, magneto-forming). Global coupled finite element approaches can be used, as in induction heating for instance. The advantage of using an integrated software tool is even more obvious when one wishes to carry out a global optimisation approach. Metallurgical coupling also needs to be carried out, as the microstructure of the materials may change significantly during forming operations. For instance in metals, dynamic or static recovery and recrystallisation can take place. These evolutions need to be modelled when the final microstructure is to be optimized, or when the behaviour of the metal must be described accurately during forming. Several strategies can be developed to compute microstructure evolutions in forming processes with large spatial heterogeneity of strain rate, strain and temperature fields.
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Communication dans un congrès
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https://hal-mines-paristech.archives-ouvertes.fr/hal-00675133
Contributeur : Magalie Prudon <>
Soumis le : mercredi 29 février 2012 - 10:32:56
Dernière modification le : mercredi 14 octobre 2020 - 04:02:47

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François Bay, Jean-Loup Chenot. Multi-Physics Couplings in Metal Forming Processes. Tenth International Conference on Civil, Structural and Environmental Engineering Computing and The Eighth International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, Aug 2005, Rome, Italy. Chapter 16, pp 325-345, ⟨10.4203/csets.15.16⟩. ⟨hal-00675133⟩

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