A predictive model for the cutting force in wood machining developed using mechanical properties

Naylor, Andrew and Hackney, Philip and Perera, Noel and Clahr, Emil (2012) A predictive model for the cutting force in wood machining developed using mechanical properties. Bioresources, 7 (3). pp. 2883-2894. ISSN 1930-2126

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Abstract

In this study a number of work-piece variations were evaluated whilst
limiting the cutting conditions. Eight wood species controlled at four
moisture levels were machined along and across the wood grain. The
tool used during cutting was designed to resemble a rip saw tooth with
zero rake angle and narrow edge width. Each work-piece variation
machined in the cutting tests was subjected to mechanical tests that
evaluated bending properties across the grain and shear properties
along the grain. The regression model establishes a relationship
between the bending properties for cutting forces across the grain, as
well as shear properties for cutting forces along the grain. F and R²
values show that the elastic properties of the wood in bending and shear
have less influence on the cutting forces when compared to the strength
and toughness. Additionally, density is seen to have less influence on the
cutting force along the grain. This is explained by the tool passing
through an unquantifiable proportion of early and latewood fibers from
the annual growth rings. Cutting across the grain, the tool is forced to
machine through approximately the same proportion of earlywood and
latewood fibres.

Item Type: Article
Additional Information: Unmapped bibliographic data: JO - Bioresources. com [Field not mapped to EPrints]
Uncontrolled Keywords: Wood machining; Manual wood sawing; Mechanical testing; Regression modelling
Subjects: D500 Forestry
H100 General Engineering
H300 Mechanical Engineering
Divisions: Faculty of Computing, Engineering and the Built Environment
REF UoA Output Collections > REF 2021 UoA12: Engineering
Faculty of Computing, Engineering and the Built Environment > School of Engineering and the Built Environment
Depositing User: Noel Perera
Date Deposited: 05 Dec 2018 10:47
Last Modified: 05 Dec 2018 10:47
URI: http://www.open-access.bcu.ac.uk/id/eprint/6368

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