Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/18787
Title: Identification of Noise Source Based on Sound Intensity in Vertical CNC Milling Machine
Authors: Miodragović, Tanja
Radičević, Branko
Pajović, Stefan
Kolarević, Nenad
Grković, Vladan
Issue Date: 2023
Abstract: The paper presents a procedure for identifying the sound sources of a vertical CNC milling machine based on sound intensity measurements using the "two-microphone" method. Dominant noise sources for different operating modes in the machining process are determined based on contour maps of sound intensity levels measured on five sides of an imaginary parallelepiped that encompasses the machine. The research results can be used for designing noise protection systems for the dominant sound sources of the machine. The obtained results provide valuable guidance for designing machines that generate lower noise levels, which is crucial in machine certification processes.
URI: https://scidar.kg.ac.rs/handle/123456789/18787
Type: conferenceObject
Appears in Collections:Faculty of Mechanical and Civil Engineering, Kraljevo

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