Herleitung und Validierung eines einfachen Modells zur Beschreibung des Misch- und Entmischungsprozesses beim Feststoffmischen

Discontinuous solids mixing processes are largely carried out over the mixing time. The required mixing time is often determined separately in mixing tests. It remains to be seen whether this corresponds to the optimum. There is a lack of models to describe the mixing quality curve over time. The present article adds a simple, two-parameter model that considers not only the homogenization but also the segregation process. In this way, possible mixing quality optima can be approximated with the help of fewer mixing tests that have been carried out.     

Hybrid simulation of laser deep penetration welding

In laser deep penetration welding, the knowledge on the temperature history of the material is of great interest for the assessment of the quality properties of the weld. For this purpose a hybrid process model that enables the fast calculation of temperature distributions as a function of process parameters is applied. The interaction between laser and material is taken into account by a reduced keyhole model, which exploits a hierarchy in the spatial dimensions occurring at high feed rates. The resulting shape of a stationary keyhole is introduced as a Dirichlet boundary into a thermal finite element simulation in which it is moved through the workpiece according to the process control of the laser beam. The boundary is mathematically described by a level set function and immersed in a fixed computational mesh. The Dirichlet boundary condition is imposed using an embedded boundary method. The calculated temperature distributions are evaluated by means of bead on plate welds conducted in 0.9 mm thick sheets of 1.4301 (AISI 304) stainless steel.     

Modeling the thermal decomposition of friction composite systems based on yarn reinforced polymer matrices using artificial neural networks

The presented work deals with the application of artificial neural networks in the modelling of the thermal decomposition process of friction composite systems based on polymer matrices reinforced by yarns. The thermal decomposition of the automotive clutch friction composite system consisting of a polymer blend reinforced by yarns from organic, inorganic and metallic fibres impregnated with resin, as well as its individual components, was monitored by a method of non‐isothermal thermogravimetry over a wide temperature range. A supervised feed‐forward back‐propagation multi‐layer artificial neural network model, with temperature as the only input parameter, has been developed to predict the thermogravimetric curves of weight loss and time derivative of weight loss of studied friction composite system and its individual components acquired at a fixed constant heating rate under a pure dry nitrogen atmosphere at a constant flow rate. It has been proven that an optimized model with a 1‐25‐6 architecture of an artificial neural network trained by a Levenberg‐Marquardt algorithm is able to predict simultaneously all the analyzed experimental thermogravimetric curves with a high level of reliability and that it thus represents the highly effective artificial intelligence tool for the modelling of thermal stability also of relatively complicated friction composite systems.     

Modelling the effect of strain rate on the thermomechanical behaviour of AISI 304 stainless steel

The present work deals with the interdependences between the strain rate and the strain hardening on stainless austenitic steels. Uniaxial tension tests were conducted on a 304 stainless steel at different strain rates in order to analyse the influence of this parameter on the strain hardening and on the material formability. For the strain rates levels analysed (10^‐4 to 10^‐1 s^‐1) it was also observed that increasing the strain rate from 10^‐4 up to 10^‐1 s^‐1 leads to a 25 % difference in uniform tension elongation revealing the curve‐crossing phenomenon. Namely, strain rates equal or higher than 10^‐2 lead to a stagnation of strain hardening after a tensile strain of about 0.2. In order to investigate the results obtained, microstructural and thermal analyses were conducted and numerical simulations were performed. It was observed that the decreasing of formability of the material is essentially due to thermal aspects. In the discussion, the experimental and numerical results are analysed in terms of thermal softening, phase transformation and strain rate sensibility.