A VISION SYSTEM TO SUPPORT DETERMINATION OF MECHANICAL PROPERTIES OF TUBES REQUIRED FOR COMPUTER MODELLING OF TUBE HYDROFORMING
Journal Title: Computer Methods in Materials Science - Year 2016, Vol 16, Issue 1
Abstract
Reliability of computer modelling of tube hydroforming depends strongly on mechanical properties of tubes, which are difficult to determine and sensitive to tube production methods. Some developments in experimental set-up and the vision system for tensile tests of specimens cut from the tube in the axial and circumferential directions are presented. The high accuracy of results obtained by this system has been crucial for determining strains in the tested tubes as well as flow curves for tube material and its planar anisotropy
APPLICATION OF THE IMMUNE ALGORITHM IRM FOR SOLVING THE INVERSE PROBLEM OF METAL ALLOY SOLIDIFICATION INCLUDING THE SHRINKAGE PHENOMENON
In the paper the mathematical model of the inverse one-dimensional problem of binary alloy solidification, with the material shrinkage phenomenon taken into account, is defined. The process is described by using the mode...
CELLULAR AUTOMATA MODEL OF CARBONITRIDES PRECIPITATION PROCESS IN STEELS
Cellular Automata (CA) model of carbonitride precipitation in microalloyed steels is presented in the paper. The model accounts for an increase of dislocation density due to plastic deformation and predicts kinetics of p...
EXPERIMENTAL AND NUMERICAL INVESTIGATIONS FOR THE CHARACTERISATION OF FLOW BEHAVIOUR OF HYBRID STRUCTURES PRODUCED BY NON-KINEMATICAL CONSTRAINT MANUFACTURING PROCESSES
With regard to the challenges in the automotive production sector, caused by political regulations of CO2 emissions, lightweight concepts are focussed by industrial development. Fibre reinforced plastics (FRP) represent...
NONLINEAR DYNAMIC ANALYSIS OF AN AXIALLY MOVING POROUS FG PLATE SUBJECTED TO A LOCAL FORCE WITH KINETIC DYNAMIC RELAXATION METHOD
In some engineering applications like moving ships the axially moving FG structures have to be investigated. In this paper, the nonlinear response and stability of an axially moving porous FGM plate under a local concent...
USING NEURAL NETWORKS TO PREDICT THE FLOW CURVES AND PROCESSING MAPS OF TNM-B1
The ability to predict the behavior of a material is vital in both science and engineering. Traditionally, this task has been carried out using physics-based mathematical modeling. However, material behavior is dependent...