The aim of this paper was to create and compare models of pressure in an injection pipe built by selected methods from the field of computational intelligence. Measurements of pressure in the injection pipe of a diesel engine on a test bench were conducted. Several models of the pressure in the injection pipe, including the proposed genetic-fuzzy system (GFSm) and the well-known neuro-fuzzy ANFIS method, were built. The weakest was the Takagi–Sugeno model created by genfis3 function. The models obtained by GFSm allow for the simulation of pressure for all allowable crankshaft speeds. The best model (built by GFSm) can be used to control and evaluate the quality of the injection process of piston engines fuelled by biofuel or diesel fuel with accuracy required in practical technical applications.
Abstract. This paper concerns measurement and modeling of cylinder pressure in diesel engines. The aim of this paper is to build the empirical-analytical model of engine working cycle. The experiments on engine test bench were conducted. The new genetic-fuzzy system GFSm was proposed. By means of GFSm, the engine working cycle model was built. This model allows simulation of cylinder pressure for each allowable crankshaft speed, and loads and also for several biofuels. The model can be used to evaluate the quality of working cycles of piston engine with an accuracy required in practical technical applications.
The article focuses on the analysis of acoustic emission signals generated under dry sliding friction conditions. Two tests were conducted using a TRB 3 tribometer with the disc made of 100Cr6 steel with a DLC coating, and pin made of corundum (Al 2 O 3 ) and steel 100Cr6, respectively. Two tests with the disc without DLC coating were also carried out. The audio data written in the 16-bit linear pulse-code modulation (LPCM) format were analysed using the SpectraPLUS software. An Aweighting filter and 1/1 and 1/3-octave band filters were used for sound level measurements.The analysis of the equivalent sound level calculated for 10-second time intervals was carried out. The highest A-weighted sound level occurred during the first 2 hours of the test with the disc having a DLC coating and pin made of 100Cr6 steel. At the end of this test, the sound level dropped by about 40 dB compared to the maximum. The lowest A-weighted sound level was recorded during the last 2 hours of the test with disc having a DLC coating and pin made of corundum.The time-dependent variability of sound parameters was predicted using the regression tree and random forest models, which proved to be accurate and easy to follow.
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