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Published VersionCC BY-SA V4.0, Open Access
Journal article
The effect of feedstock, knife wear and work station on the exposure to noise and vibrations in wood chipping operations
Silva Fennica, Vol.52(1), pp.1-14
2018
Abstract
Industrial chipping is becoming increasingly popular, as the result of a growing demand for woody biomass. Industrial chippers are large, powerful machines that generate much noise and vibration. This study explored some factors that may affect exposure to noise and vibration, namely: feedstock type (branches vs. logs), work station characteristics (truck cab vs. separate cab) and knife wear (new knives vs. blunt knives). Exposure to noise was significantly affected by all three factors, and it was higher for branch feedstock, separate cabs and blunt knives. The higher exposure levels recorded for the separate cab were especially insidious, because they were below and above the hearing threshold and would elude immediate perception. Exposure to whole-body vibration (WBV) was significantly higher for branch feedstock and for the separate cab. Knife wear seemed to determine an increase in WBV, but this effect had no statistical significance and the result could not be taken as conclusive. Among the three factors studied, work station characteristics had the strongest effect. Further studies may extend the comparison to a wider range of options, as well as explore the use of exposure variation for machine diagnostics.
Details
- Title
- The effect of feedstock, knife wear and work station on the exposure to noise and vibrations in wood chipping operations
- Authors
- A Poje (Author) - University of Ljubljana, SloveniaRaffaele Spinelli (Author) - University of the Sunshine Coast - Faculty of Arts, Business and LawNatascia Magagnotti (Author) - University of the Sunshine Coast - Faculty of Arts, Business and LawM Mihelic (Author) - University of Ljubljana, Slovenia
- Publication details
- Silva Fennica, Vol.52(1), pp.1-14
- Publisher
- Suomen Metsatieteellinen Seura
- Date published
- 2018
- DOI
- 10.14214/sf.7003
- ISSN
- 0037-5330; 0037-5330
- Copyright note
- Copyright © 2018 The authors. Licenced CC BY-SA 4.0
- Organisation Unit
- Forest Industries Research Centre; Forest Research Institute
- Language
- English
- Record Identifier
- 99451464902621
- Output Type
- Journal article
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