Design and application of machinery noise barrier using paddy straw fibre

Aliah Mastura , Mohd Nizam (2015) Design and application of machinery noise barrier using paddy straw fibre. Project Report. UTeM. (Submitted)

Text DESIGN AND APPLICATION OF MACHINERY NOISE BARRIER USING PADDY STRAW FIBRE.pdf Download (515kB)

Abstract

Noise pollution is one of the common problems that need to be faced by the people, especially those who are living or working in the urban area. In the industry, the major source of the noise is machinery. Implementation of barrier system between the noise source and the receiver is one of the control methods at the transmission path of the machinery noise problem in the industry. However, the non-biodegradable and harmful synthetic materials are widely used as the absorbent materials for noise barrier structure. Many researchers believed that natural fibre is the alternative material to replace the synthetic materials because natural fibers are environmental-friendly, lightweight and cheaper compared to synthetic materials. This research is purposely to design and fabricate the noise barrier system by using paddy straw fibre. This study also purposely conducted to study the effectiveness of green noise barrier in reducing machinery noise. Acoustic microphone is used to detect the air pressure transmitted from the compressor through the barrier system and transferred to the signal analyser. The Noise Reduction Index (NRI) of the compressor after the implementation for each barrier system is calculated. Result shows that paddy straw fibre is more efficient compared to sponge in reducing the noise level in low-medium high frequency region as well as high frequency region. The Noise Reduction Index (NRI) of the compressor increases as the percentage composition of the paddy straw in the barrier increases. It is depicted that the most efficient composition of barrier system is 60% paddy straw fibre, 40% sponge which reduces 3 dB the sound pressure level (SPL) of the compressor at its highest peak.

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