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Cutting model parameters from frame sawing of natural and impregnated Scots pine (Pinus sylvestris L.)
Abstract
In this paper, absolute and density normalized cutting model parameters of natural and impregnated Scots pine (Pinus sylvestris L.) are shown and a method for the calculation of their corresponding material properties in the principal material directions of wood is presented. The parameters were determined from measurements of cutting power on a sash gang saw, and are in detail the fracture toughness and the shear yield strength of wood. The cutting model used for fitting the data and calculating the parameters is based on a minimum energy criterion originally developed to describe an orthogonal single tooth cutting process where the chip of an isotropic material is built by shear. The effects of impregnation on wood are clearly visible in cutting power and model parameters, where for large chips less power is required compared to natural wood. Impregnated pine wood shows a reduced value of shear yield strength compared to natural pine whilst the correlated fracture toughness increased. The observed behavior might be explained by a lower moisture content of the impregnated pine compared to natural wood. Orthotropic fracture toughness and shear yield strength constants of natural and impregnated Scots pine might be used to predict cutting power for other cutting geometries and processes like circular sawing.
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Authors (4)
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Gerhard Sinn
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Piotr Taube
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- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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European Journal of Wood and Wood Products (HOLZ ALS ROH-UND WERKSTOFF)
no. 78,
pages 777 - 784,
ISSN: 0018-3768 - Language:
- English
- Publication year:
- 2020
- Bibliographic description:
- Sinn G., Chuchała D., Orłowski K., Taube P.: Cutting model parameters from frame sawing of natural and impregnated Scots pine (Pinus sylvestris L.)// European Journal of Wood and Wood Products (HOLZ ALS ROH-UND WERKSTOFF) -Vol. 78, (2020), s.777-784
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/s00107-020-01562-5
- Sources of funding:
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- Open access funding provided by University of Natural Resources and Life Sciences Vienna (BOKU). Financial support of BMBWF through OEAD within the project PL 06/2019 and NAWA (Polish National Agency for Academic Exchange) within the project PPN/BIL/2018/1/00100/U/00001 is gratefully acknowledged
- Verified by:
- Gdańsk University of Technology
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