Leszek Radziszewski

Assessment of the Mechanical Properties of a Diesel Engine Injector

An analytical and experimental model was proposed to determine sac volume pressure changes and fuel doses injected into the diesel engine cylinders. The model takes into account friction forces and identifies the mechanical properties of the injector. The engine performance results were analysed statistically. The results of the Lilliefors, Pearson, Shapiro-Wilk and Jarque-Bera tests provided evidence that, under certain engine operating conditions, the null hypothesis about the compatibility of the measurement data with the normal distribution can be rejected. The measurement uncertainty for the injector needle lift was estimated. The engine was powered with diesel or biofuel. The difference between the measured and the predicted fuel doses amounted to approximately 3%.

A Genetic-Fuzzy System for Modelling of Selected Processes in Diesel Engine Fuelled by Biofuels

The work of diesel engine fuelled by various fuels can be modelled by the methods based on the first law of thermodynamics (Rychter & Teodorczyk, 2006), or the CFD (computational fluid dynamics) methods (Amsden, 1997). However, all these methods have some deficiencies. The first group of methods can give results which have insufficient accuracy at some ranges of engine working cycle. The second group of methods produces models which cannot be easily applied to real-time control of a diesel engine. The concise and fast model of a diesel engine working cycle should be found. The methods which belong to the group of computational intelligence (CI) methods are also used for modelling selected aspects of engine work (Kalogirou, 2003) and many results are encouraging. However, the pressure course in cylinder or injection pipe was rarely modelled by CI methods. In the next sections we present the single model of cylinder pressure and injection pressure in a diesel engine fuelled by RME (rapeseed methyl esters) or its blends with diesel oil. The model was created by means of the GFSm system proposed by the authors. The methodology that allows the extension of the created model for other fuels is also presented. The obtained model can be applied to diagnostic and control of a diesel engine. One of the advantages of the proposed method is that the model is built for a one given engine and therefore describes its work with good accuracy.

Theoretical stress analysis-based improvement of friction clutch disc manufacturing process

Theoretical stress analysis-based improvement of friction clutch disc manufacturing process

Fuel Recognition Using Particle Swarm Optimization of Classification Trees

Work cycle control of a compression ignition internal combustion engine based on cylinder pressure and injection pipe pressure allows optimizing many aspects of engine performance. Selected descriptors of pressure courses can be used for constructing models and classifiers to describe engine work conditions and fuel supply. The work presents the methodology for obtaining classifiers that recognize the type of fuel injected into a cylinder with accuracy acceptable in practical technical applications. These classifiers were constructed by means of two different methods from the field of computational intelligence: classification trees induction and particle swarm optimization of the classification trees. The accuracy and transparency of the proposed models were compared.

The Study of the Effect of Static Axial Loads on Vertically-Mounted Tapered Cantilever Transverse Vibrations Using the Cauchy Function

The Cauchy function and characteristic series were applied to solve the boundary value problem of free transverse vibrations of vertically mounted, elastically supported tapered cantilever beams. A concentrated mass was attached at the same distance from the base. The beams were subjected to universal axial loads - conservative and follow wing tangential forces - and distributed loads along the cantilever length. The general form of characteristic equation was obtained taking into account the shape of the tapered cantilever, elastic foundation and nonhomogeneous material. Bernstein-Kieropian double estimators of natural frequency were calculated based on free coefficients of the characteristic series. Good agreement was obtained between the calculated natural frequency results and the exact values available in the literature.

Analysis of Selected Pressure Signal Descriptors Used to Control Combustion Engine

This paper analyses the option of using pressure signal new descriptors for controlling a selected object. Pressure signal deviations from the pressure mean values were selected to be the example descriptors. A compression ignition combustion engine fuelled with mineral-and bio-fuels was chosen to be the reference object. The pressure signal was recorded during the combustion process in the cylinder.

Dynamic Pressure Measurement and Uncertainty Analysis Using a Piezoelectric Transducer for a Combustion Engine

This paper analyses the uncertainty of pressure measurements in-cylinder and in injection pipe conducted during the studies of a compression ignition engine. Type A and type B evaluations were used to determine the uncertainties of the results. The results are presented for the engine running on diesel or bio-fuel and operating under full load conditions. The results of normality tests provide grounds to reject H0 in some cases. Slightly lower standard uncertainty of the maximum pressure measurement calculated using type A evaluation were acquired for the engine running on bio-fuel.

Contribution to Structural Optimising Subjected to Cumulative Fatigue Damage

The goal of the paper is to present the original discrete optimization approach of the structural mass minimization subjected to cumulative fatigue damage (or fatigue life). We’ll consider high-cycle multi-level fatigue, new discrete optimization algorithm and finite element analysis. The presented computational approach was implemented in MATLAB.

Evaluation of the Uncertainty of Selected Parameters that Characterise Diesel Engine Work

The evaluation included the values and uncertainty of the mean indicated pressure in subsequent operating cycles of a diesel-fuelled compression ignition engine. Analysis of combustion chamber pressure deviations from the mean values helped identify disturbance that affected the given signal. The impact of this disturbance was checked for the mean indicated pressure uncertainty and the coefficient of variation (X(pIND)). R, a free, open-source environment and commercially available Matlab software were used for statistical computing.