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

Naylor, A, Hackney, P, Perera, N and Clahr, E (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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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
Uncontrolled Keywords: 0904 Chemical Engineering, 0914 Resources Engineering and Extractive Metallurgy
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TJ Mechanical engineering and machinery
T Technology > TP Chemical technology
Divisions: Engineering
Publisher: BioResources
Date Deposited: 10 Nov 2021 12:48
Last Modified: 10 Nov 2021 12:48
DOI or ID number: 10.15376/biores.7.3.2883-2894
URI: https://researchonline.ljmu.ac.uk/id/eprint/15760
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