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dc.contributor.authorWang, Xiaonan
dc.contributor.authorWang, Fuji
dc.contributor.authorJin, Xinghai
dc.contributor.authorFu, Rao
dc.contributor.authorShi, Yu
dc.date.accessioned2022-07-28T14:50:29Z
dc.date.available2022-07-28T14:50:29Z
dc.date.issued2022-05-15
dc.identifierhttps://chesterrep.openrepository.com/bitstream/handle/10034/627051/Manuscript-R1%20-%20Numerical.pdf?sequence=3
dc.identifier.citationWang, X., Wang, F., Jin, X., Fu, R., & Shi, Y. (2022). Numerical prediction of the chip formation and damage response in CFRP cutting with a novel strain rate based material model. Composite Structures, 294, 115746. https://doi.org/10.1016/j.compstruct.2022.115746en_US
dc.identifier.issn0263-8223
dc.identifier.doi10.1016/j.compstruct.2022.115746
dc.identifier.urihttp://hdl.handle.net/10034/627051
dc.description.abstractCarbon fibre reinforced plastics (CFRPs) are susceptible to various cutting damages. An accurate model that could efficiently predict the material removal and chip formation mechanisms will thus help to reduce the damages during cutting and further improved machining quality can be pursued. In previous studies, macro numerical models have been proposed to predict the orthogonal cutting of the CFRP laminates with subsurface damages under quasi-static loading conditions. However, the strain rate effect on the material behaviours has rarely been considered in the material modelling process, which would lead to the inaccurate prediction of the cutting process and damage extent, especially at high cutting speed. To address this issue, a novel material failure model is developed in this work by incorporating the strain rate effect across the damage initiation (combined Hashin and Puck laws) and evolution criteria. The variation in material properties with the strain rate is considered for the characterization of the stress-strain relationships under different loading speeds. With this material model, a three-dimensional macro numerical model is established to simulate the orthogonal cutting of CFRPs under four typical fibre cutting angles. The machining process and cutting force simulated by the proposed model are well agreed with the results of the CFRP orthogonal cutting experiments, and the prediction accuracy has been improved compared with the model without considering the strain rate effect. In addition, the effects of processing conditions on the subsurface damage in machining CFRPs under 135° are assessed. The subsurface damage is found to decrease with the cutting speed increases to 100 mm/s, afterwards, it tends to be stable when the cutting speed is over 100 mm/s. The increased severity of the subsurface damage is predicted with the higher cutting depths.en_US
dc.publisherElsevieren_US
dc.relation.urlhttps://www.sciencedirect.com/science/article/abs/pii/S0263822322005220en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.subjectCFRPen_US
dc.subjectSimulationen_US
dc.subjectStrain rateen_US
dc.subjectMaterial modelen_US
dc.titleNumerical prediction of the chip formation and damage response in CFRP cutting with a novel strain rate based material modelen_US
dc.typeArticleen_US
dc.identifier.eissn1879-1085en_US
dc.contributor.departmentDalian University of Technology; University of Chesteren_US
dc.identifier.journalComposite Structuresen_US
or.grant.openaccessYesen_US
rioxxterms.funderthe Major Programs of the National Natural Science Foundation of China; the National Key R&D Program of China; Liaoning Revitalization Talents Programs; Science and Technology Innovation Foundations of Dalian; Fundamental Research Funds for the Central Universities; State Scholarship Fund of China offered by China Scholarship Council (CSC)en_US
rioxxterms.identifier.project52090053; 52105432;2018YFA0702803; No. XLYC1902014; No. XLYCYSZX1901; No. 2019CT01; No. 2021RD08; DUT21RC(3)002en_US
rioxxterms.versionAMen_US
rioxxterms.versionofrecord10.1016/j.compstruct.2022.115746en_US
rioxxterms.licenseref.startdate2024-05-15
dcterms.dateAccepted2022-05-08
rioxxterms.publicationdate2022-05-15
dc.date.deposited2022-07-28en_US
dc.indentifier.issn0263-8223en_US


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