The modernization problem for high-speed tracks and adaptation to EU standards

The article will present aspects related to the construction (modernization) of railway lines in Poland on the example of the modernized section of the railway line E20 Warsaw-Terespol. The purpose of the modernization of this line was to adjust its technical parameters to the EU standards and requirements of AGC (European Agreement on Main International Railway Lines) and AGTC (European Agreement on Main International Combined Transport Lines and Associated Facilities) agreements, which provide for a maximum permissible speed of 160 km/h for steam passenger trains and 120 km/h for freight trains, with a permissible axle load of 22.5 tons. It will present the previous results of measurements on selected sections and the original concept of rail measurements using ultrasonic defectoscopy and satellite navigation.

Explosion Cladding of CuSn Bronze to Malleable Iron

Process of cladding CuSn bronze on malleable cast iron was studied. Characteristics of welded materials are described. Preparation of welded materials is outlined. Selection of suitable explosive is discussed. Design of welding assembly is illustrated. Welding parameters and conditions are given. Bimetals were fabricated. The quality of fabricated bimetals was inspected by ultrasonic defectoscopy, strains were measured with a 3D scanner and the microstructure was studied by optical microscopy and EDX microanalysis.

Signal-to-Noise Ratio Improvement based on the Discrete Wavelet Transform in Ultrasonic Defectoscopy

In ultrasonic testing it is very important to recognize the fault echoes buried in a noisy signal. The fault echo characterizes a flaw in the material. An important requirement on ultrasonic signal filtering is zero-time shift, because the position of ultrasonic echoes is essential. This requirement is accomplished using the discrete wavelet transform (DWT), which is used for reducing the signal-to-noise ratio. This paper evaluates the quality of filtering using the discrete wavelet transform. Additional computer simulations of the proposed algorithms are presented.