Abstract
Measurement of the piston group behavior is still a challenge. Achieved accuracy and complexity go hand in hand with the financial requirements. This paper presents an unconventional measurement of the piston secondary motion using laser displacement sensors. Two sensors help capture the piston tilt angle, while the third sensor is used for the piston lateral motion measurement. These sensors are aimed at the piston crown. The passage between the laser source and the target spot has to be transparent. Therefore, side-valve internal combustion engine is employed. It enables the cylinder head to be made of the transparent material such as cast plexiglass. In the initial stage, the experimental engine is motored during the measurement. As for the measurement of the piston tilt angle, the results are within the physical limits. However, the same does not apply for the piston lateral results, where the measured values are too high, so the piston would penetrate the liner.
Highlights
Most of the vehicle manufacturers have to comply with both national and international laws influencing the design of their products
Internal Combustion Engine (ICE) consists of the piston group, which can be the cause of excess vibrations, especially when the piston slap motion occurs
In order to load the piston by the pressure in the combustion chamber, the SV engine with transparent cylinder head was used
Summary
Most of the vehicle manufacturers have to comply with both national and international laws influencing the design of their products. Traffic noise is classified as the one of the most environmental problems in the European Union. Regulations and test methods for measuring of noise emissions have been introduced so that environmental protection may be improved. The powertrain is the primary source of vehicle internal noise and vibration. The piston design has to be optimized in order to reduce these negative effects. For such purposes, the computational modelling, mainly based on Multi Body System (MBS) [1], is used the most. Computational models are based on assumptions and mathematical models and have to be validated experimentally. That is one of the reasons why experimental methods are still inevitable in the development process
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