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dc.contributor.authorPramanik, Alokesh
dc.contributor.authorZhang, Liangchi
dc.contributor.authorArsecularatne, Joseph
dc.identifier.citationPramanik, A. and Zhang, L. C. and Arsecularatne, J. A. 2006. Prediction of cutting forces in machining of Metal Matrix Composites. International Journal of Machine Tools and Manufacture. 46 (14): pp. 1795-1803.

This paper presents a mechanics model for predicting the forces of cutting aluminium-based SiC/Al2O3 particle reinforced MMCs. The force generation mechanism was considered to be due to three factors: (a) the chip formation force, (b) the ploughing force, and (c) the particle fracture force. The chip formation force was obtained by using Merchant’s analysis but those due to matrix ploughing deformation and particle fracture were formulated, respectively, with the aid of the slip line field theory of plasticity and the Griffith theory of fracture. A comparison of the model predictions with the authors’ experimental results and those published in the literature showed that the theoretical model developed has captured the major material removal/deformation mechanisms in MMCs and describes very well the experimental measurements.

dc.subjectmetal matrix composites
dc.subjectforce modeling
dc.subjectPCD tool
dc.titlePrediction of cutting forces in machining of Metal Matrix Composites
dc.typeJournal Article
dcterms.source.titleInternational Journal of Machine Tools and Manufacture

NOTICE: this is the author’s version of a work that was accepted for publication in International Journal of Machine Tools and Manufacture. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Machine Tools and Manufacture, Volume 46, Issue 14, November 2006, DOI:10.1016/j.ijmachtools.2005.11.012

curtin.accessStatusOpen access

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