Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/517167
Title: Development Optimization And Validation Of Natural Fiber Based Acoustic Material
Researcher: BHINGARE NIRMALA HARISHCHANDRA
Guide(s): Prakash S
Keywords: Engineering
Engineering and Technology
Engineering Mechanical
University: Sathyabama Institute of Science and Technology
Completed Date: 2023
Abstract: Urbanization and industrial elaboration-related noise newlinepollution must be adequately restrained. Despite their high cost and newlinenegative effects on the environment, various synthetic materials exhibit newlineexcellent acoustic performance. Due to minimal impact on the nature and newlinelower cost, natural materials are an effective replacement for this newlinesynthetic material. Significant efforts have been made for the newlineadvancement of a sound-absorbing natural substance over the past few newlineyears. Modern acoustic material advancements accelerate to a variety of newlineorganic materials, including jute and arenga pinnata, hemp, and corn husk newlineare a few examples. The aim of this research is to develop, optimize the newlinenatural fiber-based sound absorbing material. newlineNovel approach of this research is to develop and optimization of newlinecoconut coir and polyurethane based sound absorbing material having newlinepromising acoustic properties. Acoustic performance is measured by newlineusing impedance tube set up as per ISO 10534 2 and ASTM E1050-98 newlinestandards for the frequency range 100 5000 Hz. Effect of various newlineparameters on Sound Absorption Coefficient (SAC) and Sound newlineTransmission Loss (STL) were studied. Here various input parameters newlinev newlinesuch as thickness, density, fiber percentage and air gap are considered. newlineDifferent optimization method via. Taguchi, Grey Relational Analysis newline(GRA). Response Surface Methodology (RSM) are used for optimization. newlineThe analysis of variance (ANOVA) in Taguchi, Grey Relational Analysis newline(GRA) and Response Surface Method (RSM) are used to identify the newlinesignificant parameters and significant interactions. Empirical models newlinewere created through regression analysis. Additionally, the developed newlineempirical models are tested against experimental data to determine their newlinesuitability. newlineResults show that coconut coir fibre with polyurethane has greater sound newlineabsorption characteristics but has poorer fire-retardant characteristics. newlineThe effects of various man-made and natural fire retardants, such as urea, newlinealoe vera, and diammonium phosphate (DAP) are studied.
Pagination: vi, 166
URI: http://hdl.handle.net/10603/517167
Appears in Departments:MECHANICAL DEPARTMENT

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10.chapter 6.pdfAttached File300.54 kBAdobe PDFView/Open
11.chapter 7.pdf81.15 kBAdobe PDFView/Open
12.annexure.pdf693.1 kBAdobe PDFView/Open
1.title.pdf53.41 kBAdobe PDFView/Open
2.prelim pages.pdf1.05 MBAdobe PDFView/Open
3.abstract.pdf134.87 kBAdobe PDFView/Open
4.contents.pdf111.77 kBAdobe PDFView/Open
5.chapter 1.pdf310.34 kBAdobe PDFView/Open
6.chapter 2.pdf259.52 kBAdobe PDFView/Open
7.chapter 3.pdf78.07 kBAdobe PDFView/Open
80_recommendation.pdf53.41 kBAdobe PDFView/Open
8.chapter 4.pdf2.16 MBAdobe PDFView/Open
9.chapter 5.pdf3.12 MBAdobe PDFView/Open
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