Skip to main navigation Skip to search Skip to main content

High acoustic absorption properties of hackberry compared to nine different hardwood species: A novel finding for acoustical engineers

  • Haradhan Kolya
  • , Chun Won Kang*
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

Wood is one of the most usable natural composite. Noise pollution from the various sources affect the human health and environment worldwide. How to reduce noise pollution has become a major issue? Hence, finding the proper sound absorbing wood is necessary for improved acoustic environment. In the present work, we choose most useful ten different hardwood species. Analysis of basic properties, surface morphology by HR-FESEM, elemental analysis using EDAX, cellulose crystallites by XRD, air permeability by a capillary flow porometer, sound absorption coefficient and sound transmission loss by microphones transfer function method using impedance tube is discussed in detail. The Hackberry wood shows better sound absorption coefficient (0.640 at 4000 Hz), sound transmission loss (15.23 at 4000 Hz) due to the higher value of Darcy permeability constant (9.78), porous surface morphology and lower cellulose crystallites (16.6%). These results became extremely important to the engineers for designing good acoustic housing environment.

Original languageEnglish
Article number107475
JournalApplied Acoustics
Volume169
DOIs
StatePublished - 2020.12.1

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Acoustic
  • Hardwood
  • Sound absorption
  • Sound transmission loss
  • Wood elements

Quacquarelli Symonds(QS) Subject Topics

  • Physics & Astronomy

Fingerprint

Dive into the research topics of 'High acoustic absorption properties of hackberry compared to nine different hardwood species: A novel finding for acoustical engineers'. Together they form a unique fingerprint.

Cite this