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https://scidar.kg.ac.rs/handle/123456789/18787
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DC Field | Value | Language |
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dc.contributor.author | Miodragović, Tanja | - |
dc.contributor.author | Radičević, Branko | - |
dc.contributor.author | Pajović, Stefan | - |
dc.contributor.author | Kolarević, Nenad | - |
dc.contributor.author | Grković, Vladan | - |
dc.contributor.editor | Savković, Mile | - |
dc.date.accessioned | 2023-09-05T11:29:56Z | - |
dc.date.available | 2023-09-05T11:29:56Z | - |
dc.date.issued | 2023 | - |
dc.identifier.isbn | 978-86-82434-01-6 | en_US |
dc.identifier.uri | https://scidar.kg.ac.rs/handle/123456789/18787 | - |
dc.description | HM 2023 | en_US |
dc.description.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. | en_US |
dc.description.sponsorship | The Ministry of Science, Technological Development and Innovation of the Republic of Serbia - contract record number: 451-03-47/2023-01/200108 | en_US |
dc.description.uri | http://www.hm.kg.ac.rs/ | en_US |
dc.language.iso | en | en_US |
dc.publisher | Faculty of Mechanical and Civil Engineering in Kraljevo | en_US |
dc.rights | info:eu-repo/semantics/openAccess | - |
dc.source | XI International Conference “Heavy Machinery-HM 2023” | en_US |
dc.subject | Identification of noise sources | en_US |
dc.subject | sound intensity | en_US |
dc.subject | CNC milling machine | en_US |
dc.title | Identification of Noise Source Based on Sound Intensity in Vertical CNC Milling Machine | en_US |
dc.type | conferenceObject | en_US |
dc.description.version | Published | en_US |
dc.type.version | PublishedVersion | en_US |
Appears in Collections: | Faculty of Mechanical and Civil Engineering, Kraljevo |
Files in This Item:
File | Description | Size | Format | |
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2023 HM - Miodragović et al..pdf | 3.19 MB | Adobe PDF | View/Open |
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