Neuro-evolutionary approach applied for optimizing the PEMFC performance

A multi-objective optimization strategy, based on stacked neural network–genetic algorithm (SNN–GA) hybrid approach, was applied to study the C/PBI content on a high temperature PEMFC performance. The operating conditions of PEMFC were correlated with power density and electrochemical active surface area for electrodes. The structure of the stack was determined in an optimal form related to the contribution of individual neural networks, after applying an interpolation based procedure. Multi-objective optimization using SNN as model and GA as solving procedure provides optimal working conditions which lead to a high PEMFC performance. Simulation results were in agreement with experimental data, both for model validation and system optimization (the C/PBI content in the range of 17–21%).     

Investigation of the optical characteristics of laser plasma by photochronography methods

The results of photochronographic studies of spatiotemporal and spectral characteristics of laser plasma in the optical region, which were obtained at the Iskra-5 facility in different experiments, are presented. The plasma diagnostics was performed using a slit photochronographic streak camera, which is based on a PIM-112 streak tube with microsecond sweep durations.     

Centering of continuous-cast billet prior to piercing at OAO Severskii Trubnyi Zavod

Attention focuses on how the centering of continuous-cast billet prior to piercing affects the geometry of thin- and thick-walled sleeves at OAO Severskii Trubnyi Zavod. The influence of the depth and shape of the rear centering socket on the variation in wall thickness at the rear of the sleeve is studied.