This paper deals with the determination of the influence of the most important process parameters on the forging of magnesium alloys. On the basis of extensive experimental study, anisotropic flow and the impact of the most important input process factors on the plastic deformation of AZ80 wrought alloy are considered. The results presented in this paper are directly related to industrial practice and have significant potential as a case study for the further development of FEM models capable of predicting anisotropic material flow during applied plastic deformation.
COBISS.SI-ID: 11670299
The electrode wear in micro-electrical discharge milling (micro-EDM milling) is one of the main problems to be solved in order to improve machining accuracy. This paper presents an investigation on wear and material removal in micro-EDM milling for selected process parameter combinations typical of rough and finish machining of micro-features in steel. The experiments were performed on state-of-the-art micro-EDM equipment. Based on discharge counting and volume measurements, electrode wear per discharge and material removal per discharge were measured for several energy levels.
COBISS.SI-ID: 11316507
In order to produce fermentation broth for downstream recovery, a total of 15 fermentations were done in a 15 m3 and two 7.5 m3 vessels. Apart from the evaluation of fermentation yield and productivity, information on the heat and mass transfer coefficients were required for design purposes. Broth rheology was found to deviate from Newtonian behavior with increasing biomass concentration. Using axial flow impellers, rather than radial flow producing Rushton turbines, significantly improved heat transfer in this study.
COBISS.SI-ID: 33809925
Enormous loss of production time in machining, handling and assembly operations is caused mainly by resources’ unavailability. For this reason the companies, small and bigger ones, should optimize the production processes with the detection and elimination in advance the majority of the possible mistakes and disturbances, which could cause deadlocks in the production process. Therefore a low cost simulation tool for the optimization of the resource present management is presented in this paper.
COBISS.SI-ID: 11670555
The article deals with the introduction of modern quality control system, based on machine vision subsystem. Machine vision systems for automatic quality control can perform a constant control without becoming tired, with 100% reliability and without subjective decisions. The most important part of a measuring system conceptual design presents development of a mathematical algorithm, which is suitable for implementation in computer-automated environment. The quality system is presented with experimental results, which fully meet the requirements of industrial environment.
COBISS.SI-ID: 11512091