No abstract

Airports are one of the segments within air transport and their serviceability ensures air transport efficiency. However, airports are among the largest contributors to the negative environmental impact of this kind of transport. Individual activities at airports leave a negative environmental footprint. By optimizing processes, it is possible to reduce the negative environmental impacts of these subjects. Airport winter maintenance is one of the important activities accompanying airports in geographical areas where winter season is expected due to the climate zone and weather conditions. Effective winter maintenance ensures optimal airport operation and has a significant impact on safety. However, the winter maintenance of the airport causes an excessive burden on the environment around the airports, in particular by applying de-icing agents to aircraft and movement areas, or by emissions and noise caused by equipment for snow and ice removal. The aim of the present article is to optimize the winter maintenance of the airport, namely the deployment of winter maintenance equipment with respect to meteorological conditions while maintaining the priorities for winter maintenance between individual airport areas. The aim of optimization is to achieve the saving of maintenance time and reduce the negative environmental impact of winter maintenance by effectively deploying equipment and devices.

Hole machining is quite common in engineering technology. It follows from the requirements of the specifi c holes used not only for arranging various types of sha s and axis but also for jointing parts and other purposes. This paper illustrates methodology and experiments for determination of optimal cutting conditions and appropriate cutting tools based on an example of drilling. The choice of drilling technology is based on the design requirements for the shape and dimensions, namely the nature of semi-fi nished product, with regards to the requirements of quality, reliability and economic effi ciency.

This article is about determine the optimalization and minimalization of costs fro m auto mation production for small and middle enterprices of mathematical methods. The transition fro m current engineering to the complex auto mated and highly machanical production is inevitable. The economic aspects on optimalizat ion of co mponents production are nowadays very current issue. At the time of ongoing world economic crisis the most discussed topic in this area as well is the decreasing of the production costs. When cutting conditions and tool durability optimizing, it is necessary to apply certain optimizing criterion with in certain restraining conditions. The restrictions are given by technical parameters of a machine, tool, machined material, required quality of mach ined surface etc. The essential economic criterion is the amount of production cost.

This contribution describes the dosing method at die-casting using a mechanical dosimeter, by derivation of back coupling from the motion of the dosimeter arm. The motion of the dosimeter arm is described by motion equations and their analysis by the linear theory of control. Furthermore, there are derived the transfers of actuating quantity, failures and controls. Based on them, the control circuit is stable and periodic after satisfying certain conditions, failing which it is stable, damped and oscillating.