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Monitoring of the Noise Emitted by Machine Tools in Industrial Conditions
 
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1
Department of Production Engineering, Mechanical Engineering Faculty, Lublin University of Technology, 36 Nadbystrzycka Street, 20-618 Lublin, Poland
 
2
Electrical Engineering and Computer Science Faculty, Institute of Electrical Engineering and Electrotechnologies, Lublin University of Technology, 38a Nadbystrzycka Street, 20-618 Lublin, Poland
 
3
The State School of Higher Education, The Institute of Technical Sciences and Aviation, 54 Pocztowa Street, 22-100 Chełm, Poland
 
4
Aesculap-Chifa Sp.z o.o. Radzyń Podlaski, 3 Budowlanych Street, 21-300 Radzyń Podlaski, Poland
 
 
Publication date: 2018-01-01
 
 
Corresponding author
Jerzy Józwik   

Department of Production Engineering, Mechanical Engineering Faculty, Lublin University of Technology, 36 Nadbystrzycka Street, 20-618 Lublin, Poland
 
 
J. Ecol. Eng. 2018; 19(1):83-93
 
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ABSTRACT
The paper presents an analysis of noise emitted by selected machine tools in a production hall (under industrial conditions). Noise monitoring is a fundamental task for maintaining workplaces which are safe and healthy. This paper presents the noise measurements obtained for several machine tools, performed in accordance with the PN ISO 230–5:2002 standard. The identification of noise sources and levels was conducted by means of the UNIT 352 measurement system for DMU 50, BGO-CNC/RV/R, FU 251, FW 801, FWC 25/H. Detection of noise sources in the tested machine tools allows to maintain safety of workers and effective means of noise reduction, which are highly significant from the perspective of minimising noise at various workstations. The method of performing noise measurements at workstations using specific machines is normalised, so that the results of such measure-ments for different machines could be compared. The test results were presented in the form of diagrams and tables. The results of the tests are concluded by a detailed recommendation for the CNC machine tool operators to use hearing protection when at work. The results showed that the level of noise at the operator’s workstation significantly exceeds the standard at certain machining parameters.
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