Papers by Keyword: Thermomechanical Simulation

Abstract: Most of industrial processes (thermoforming, injection moulding...) require the understanding of thermo-mechanical behaviour of polymeric sheets. Furthermore, the mastery of the deformation of the polymers becomes an important stake. In order to improve and complete the understanding of the deformation of thermoplastic polymer materials during their forming processes, the problem of modelling the thermoforming process for viscoelastic sheet under large strains is considered. The first step of the process that consists in heating the sheet using infrared lamps is taken into account by included a temperature field in viscoelastic behaviour laws under integral forms. The finite element simulation of the different steps will be presented

Abstract: Selective laser melting (SLM) first developed for rapid prototyping (RP) is now used for rapid manufacturing of parts with inner complex shapes that cannot be made by more conventional routes. For example, production of injection moulds with cooling channels is of special interest. In this paper, a numerical model of SLM process was investigated to simulate the genesis of residual stresses. The proposed numerical modelling is based upon a double meshing with a multi step birth and death technique of manufactured part. The influence of the mesh size is analysed with element as small as the powder layer thickness for 2D and 3D geometries of simple parts. Comparisons between plane stress, plane strain, and 3D analysis are presented in order to propose a simplified approach.

Abstract: Thermomechanical simulation serves to simulate industrial conditions under closer control and much more cheaply than through works trials, and also under ideal conditions (e.g. constant temperature and strain rate) more suitable for input to metallurgical models which can then be applied to real cases. It is remarkable how much effort in Industry and Academia, and how many conferences, are devoted to this issue. Moreover, many of the questions being addressed do not appear to change very much over the years [1]. The continuing stream of new rolled grades requires new experimental quantification and adjustment to models, because we do not as yet have a physically-based model powerful enough to extrapolate safely to substantially different compositions and process conditions. But that is only part of the story. Quantitatively sufficient simulation of the existing grade portfolio is a surprisingly complex, multi-facetted problem. An example is presented in Fig.1 [2] of the model in routine use for Tata Steel’s plate mill at Scunthorpe, UK. Many variables are involved in the prediction of the optimum rolling schedule in terms of productivity, plate geometry, and final properties, each of which will be associated with its own errors. Its configuration around the microstructural development during rolling brings in a range of variables which are very difficult to measure on plant, and are usually implied from laboratory studies. Extensive plant data exist but are seldom transferable to other mills owing to the individual set-up of each mill and its associated data measurement facilities. Similarly, great care has to be taken to avoid systematic differences between laboratory simulation, pilot rolling, and results on plant, owing to subtleties of the set conditions and accuracy of measurement. An overview of such experience in Tata Steel’s European plate and strip mills is given here.