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

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dc.contributor.authorAhmadian, Amirali
dc.contributor.supervisorAhmadi, Keivan
dc.date.accessioned2019-05-15T19:04:58Z
dc.date.available2019-05-15T19:04:58Z
dc.date.copyright2019en_US
dc.date.issued2019-05-15
dc.degree.departmentDepartment of Mechanical Engineeringen_US
dc.degree.levelMaster of Applied Science M.A.Sc.en_US
dc.description.abstractThe 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.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/10878
dc.languageEnglisheng
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectMillingen_US
dc.subjectExperimental modelen_US
dc.subjectCarbon fiber reinforced plasticsen_US
dc.subjectCutting forcesen_US
dc.titleExperimental model for predicting cutting forces in machining carbon fiber reinforced polymer compositesen_US
dc.typeThesisen_US

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