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http://hdl.handle.net/10603/344625
Title: | Experimental Analysis of Noise Reduction in Manufacturing Industry using Statistical Tools |
Researcher: | Boominathan, N |
Guide(s): | Vijayaragavan, G K and Kathiravan, R |
Keywords: | Engineering Engineering and Technology Engineering Mechanical |
University: | Periyar Maniammai University |
Completed Date: | 2018 |
Abstract: | For more than many decade population growth and hence the societal requirements lead to rapid industrial process development. This gives more benefits as well as equal discrepancies like pollution, emission, radiation and inherent diseases. These discrepancies directly or indirectly affect the environment badly. Industries play a vital role in producing various pollutions like air, water, noise etc. This research focuses on industrial noise pollution. Each and every creatures and things in the universe produce some sort of noise at various intensities. Noise is virtually everywhere. According to the intensity the sound may be pleasant or irritable. It is quite common that machineries produce more noise. Survey showed that mostly all machineries in Indian industries produce noise level more than 90 dB (A) which is declared as a harmful element for human beings for Indian environment. Depending upon the process, product, usage and age of machineries, the intensity and type of noise level will vary. It will affect not only the workers who are nearby with machineries and its processes also affect human beings who are crossing or living closely to industries. It also interferes in the day to day activities badly. Now-a-days it is found the severity of noise is more and it is essential to control the noise pollution effectively. Various surveys and researches show that total elimination of noise is not possible and noise control techniques and processes may vary from industry to industry or process to process or machine to machine. It may also depend upon the environment, type of product, size of industry and machinery. The intensity of noise may vary due to the distance, exposing time and the health aspect of people. More and more efforts, money and time are spent by industries and Government bodies to control the effect of those noises. |
Pagination: | |
URI: | http://hdl.handle.net/10603/344625 |
Appears in Departments: | Department of Mechanical Engineering |
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