Experimental model for predicting cutting forces in machining carbon fiber reinforced polymer composites

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dc.contributor.author Ahmadian, Amirali
dc.date.accessioned 2019-05-15T19:04:58Z
dc.date.available 2019-05-15T19:04:58Z
dc.date.copyright 2019 en_US
dc.date.issued 2019-05-15
dc.identifier.uri http://hdl.handle.net/1828/10878
dc.description.abstract The demand for materials with high mechanical performances such as Carbon Fiber Reinforced Plastics (CFRP) is increasing. However, there are major challenges in machining CFRP as it involves delamination, fiber pullouts, and extreme cutting tool wear. Analysis of chip formation mechanisms and prediction of associated cutting forces in CFRP machining enables one to address these challenges. This study proposes a mechanistic cutting force model for milling operations of the CFRP workpiece, considering its non-homogeneity and anisotropy, by taking into account variations of fiber cutting angle during machining. A mechanistic model of cutting force constants is obtained from a number of experimentally measured unidirectional CFRP milling forces. The obtained mechanistic force model predictions are verified against experimentally measured milling forces with arbitrary tool path indicating the accuracy of the proposed mechanistic model in predicting cutting forces. The proposed mechanistic cutting force model is capable of being integrated into the manufacturing process to allow optimized machining of quality certified CFRP work-pieces. en_US
dc.language English eng
dc.language.iso en en_US
dc.rights Available to the World Wide Web en_US
dc.subject Milling en_US
dc.subject Experimental model en_US
dc.subject Carbon fiber reinforced plastics en_US
dc.subject Cutting forces en_US
dc.title Experimental model for predicting cutting forces in machining carbon fiber reinforced polymer composites en_US
dc.type Thesis en_US
dc.contributor.supervisor Ahmadi, Keivan
dc.degree.department Department of Mechanical Engineering en_US
dc.degree.level Master of Applied Science M.A.Sc. en_US
dc.description.scholarlevel Graduate en_US

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