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Content available New methods of marine power plant diagnostics
EN
Up-to-date, of high-tech design techniques of machine operation require constant monitoring on some levels. Generally, the monitoring today is limited to failure detection and machinery components check. The Marine Engineering Faculty of Gdynia Maritime University designed the System for Marine Engine Operation Assistance on the basis of Sulzer Diesel AL 25/30 testing station. The engine modernization and wider research and survey capabilities resulted in engine operation quality improvement, marine power plant research enhancement. The project broadens the research range and engine failure expertise as well as takes into consideration innovative marine fuel emissions. The goal has been achieved in the way of the test equipment modernization including: effective pressure sensors, high pressure fuel sensors, monitoring and visualization of the engine systems’ parameters, electronic indictors adopted to continuous operation at all cylinders in the same time, and high class decision aid computer equipment. Engine modernization and data base extension allow for carrying out a wide scope of research. Additionally, the article presents innovative diagnostic solutions together with their applications.
EN
There are several fundamental steps for the technological preparation, which are required to optimize the thermal spray coatings. In order to ensure proper bonding of the coating, important is properly preparation of substrate. The surface of the substrate has to be clean and should have a suitable roughness after previously performed treatment. Knowledge about the effects of process parameters allows designing the coatings obtained with an optimal adherence. Only when all the components of the spraying coating process are used correctly there is possible properly design the technology. The article describes the impact of technological parameters of grit blasting to obtain the roughness of the steel substrate (steel S185) to the process of metallic coatings by cold gas dynamic spraying. Research was carried out by using the Dymet® 412K appliance, designed for applying metal coatings and substrate surface cleaning. Grit blasting is a mechanical method of surface preparation of metal parts. It allows obtaining a high degree of surface cleanliness and a determined roughness. The authors took into account parameters such as operational pressure, spray angle (incidence) of abrasive grit blasting in the axis of the stream and feed rate of used abrasive particles (Al2O3) passed to the nozzle of spray gun. Carried out the multiple regression analysis of the roughness parameters results. It revealed the existence of certain influences and changes of process parameters, which affect on the surface quality. Carried out calculations by using a multiple regression showed that the greatest correlation is between the required roughness and the feed rate of used abrasive particles. The studied roughness was described by the parameters: Ra, Rz, Rt and RSm. Stepped growth (from 0.1 to 0.8 g/s) of abrasive particles feed rate caused a decline of all of the roughness parameters. It has been found that the values of the roughness in the least depend on the operational pressure.
3
Content available remote Automatyczne sterowanie temperaturą układu wytłaczarki i głowicy
PL
W artykule opisano budowę oraz przedstawiono schemat głowicy wytłaczarskiej o przekroju cylindrycznym. Opisano, na czym polega regulacja temperatury i jakie elementy są niezbędne do jej realizacji. Autorzy stworzyli schemat układu regulacji oparty na sterowniku PLC. Do tego układu został zaprojektowany odpowiedni algorytm, który steruje pracą opisanego układu. Przytoczony proces został zamodelowany i zasymulowany w środowisku Matlab/Simulink.
EN
The paper presents the construction and schema of extrusion head with cylindrical cross-section. The paper describes control system of temperature and shows components which are necessary to realise that function. The authors designed schema of temperature regulation system based on PLC. The authors created the algorithm which controlled the work of described system. Described process has been modeled and simulated in Matlab/Simulink environment.
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