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Finite Element Modeling and Validation of Chip Segmentation in Machining of AISI 1045 Steel
Högskolan Väst, Institutionen för ingenjörsvetenskap, Forskningsmiljön produktionsteknik(PTW). (PTW)ORCID-id: 0000-0003-3877-9067
Högskolan Väst, Institutionen för ingenjörsvetenskap, Avdelningen för avverkande och additativa tillverkningsprocesser (AAT). (PTW)
Sandvik Materials Technology, Sandviken, Sweden.
Sandvik Coromant AB, Sandviken, Sweden.
Vise andre og tillknytning
2017 (engelsk)Inngår i: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 58, s. 499-504Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The finite element (FE) method based modeling of chip formation in machining provides the ability to predict output parameters like cutting forces and chip geometry. One of the important characteristics of chip morphology is chip segmentation. Majority of the literature within chip segmentation show cutting speed (vc) and feed rate (f) as the most influencing input parameters. The role of tool rake angle (α) on chip segmentation is limited and hence, the present study is aimed at understanding it. In addition, stress triaxiality’s importance in damage model employed in FE method in capturing the influence of α on chip morphology transformation is also studied. Furthermore, microstructure characterization of chips was carried out using a scanning electron microscope (SEM) to understand the chip formation process for certain cutting conditions. The results show that the tool α influences chip segmentation phenomena and that the incorporation of a stress triaxiality factor in damage models is required to be able to predict the influence of the α. The variation of chip segmentation frequency with f is predicted qualitatively but the accuracy of prediction needs improvement. © 2017 The Authors.

sted, utgiver, år, opplag, sider
Elsevier B.V. , 2017. Vol. 58, s. 499-504
Emneord [en]
Cutting; Forecasting; Machining centers; Scanning electron microscopy; Shear stress, Chip morphologies; Chip segmentation; Cutting conditions; Damage model; Microstructure characterization; Output parameters; Stress triaxiality; Stress triaxiality factor, Finite element method
HSV kategori
Forskningsprogram
TEKNIK, Produktions- och materialteknik; Produktionsteknik
Identifikatorer
URN: urn:nbn:se:hv:diva-11909DOI: 10.1016/j.procir.2017.03.259Scopus ID: 2-s2.0-85029738278OAI: oai:DiVA.org:hv-11909DiVA, id: diva2:1165584
Konferanse
Conference of 16th CIRP Conference on Modelling of Machining Operations, CIRP CMMO 2017 ; Conference Date: 15 June 2017 Through 16 June 2017
Tilgjengelig fra: 2017-12-13 Laget: 2017-12-13 Sist oppdatert: 2017-12-22bibliografisk kontrollert

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