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SUITABILITY OF NOISE ABSORBING PANELS BY USING PEANUT SHELL AND COCONUT SHELL

Authors: Miss. Sahyadri Vikas Ghadge;

SUITABILITY OF NOISE ABSORBING PANELS BY USING PEANUT SHELL AND COCONUT SHELL

Abstract

Abstract - Now-a-days sound pollution is a major issue. Urbanization, industry, transportation, and public gatherings all contribute to noise pollution, which can cause major health problems like stress, hearing loss, and lost productivity. Traditional sound-absorbing materials, such as fiberglass and polyurethane foam, work well but are bad for the environment since they don't biodegrade. Eco-friendly acoustic panels composed of natural waste peanut and coconut shells with a constant 40% binder are the subject of this investigation. Coconut shells improve mid-frequency absorption and provide mechanical strength, whereas peanut shells efficiently absorb high-frequency noises because they are lightweight and porous. Three mix configurations were examined, and each component offered unique acoustic benefits. According to Noise Reduction Coefficient (NRC) analysis, the best balance in acoustic performance was demonstrated by the ideal mixture of 30% peanut shells, 30% coconut shells, and 40% binder. Although their moisture sensitivity necessitates waterproofing measures, these panels are affordable, environmentally friendly, and appropriate for non-load-bearing acoustic applications like wall treatments. The results show that agro-waste has a strong future as a sustainable substitute for synthetic acoustic materials. Key Words: Acoustics, Natural fibers, Peanut Shells, Coconut Shells, Noise pollution, Sound absorbing panels.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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