Researcher: Ulutan, Durul
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Ulutan, Durul
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Publication Metadata only Analytical modelling of residual stresses in machining(Elsevier Science Sa, 2007) N/A; Department of Mechanical Engineering; Department of Mechanical Engineering; Ulutan, Durul; Alaca, Burhanettin Erdem; Lazoğlu, İsmail; Master Student; Faculty Member; Faculty Member; Department of Mechanical Engineering; Graduate School of Sciences and Engineering; College of Engineering; College of Engineering; N/A; 115108; 179391An analytical model is developed for prediction of residual stresses in machining. In the thermo-mechanical model of residual stresses both the thermal field of the workpiece and mechanical cutting forces are coupled. The shear energy created in the primary shear zone, the friction energy produced at the rake face-chip contact zone, the heat balance between the chip, tool and workpiece are considered based on the first law of thermodynamics. The temperature distributions on the workpiece, tool and chip are solved by using finite difference method. The calculated workpiece temperature field is used in thermal load calculations. Stresses resulting from thermal and mechanical loading are computed using an analytical elasto-plastic model and a relaxation procedure. The model is verified with experimental measurements of residual stresses on bearing steel 100Cr6 (JIS SUJ2) in the literature. With the analytical model presented here, substantial reduction in computational time is achieved in the predictions of residual stresses.Publication Metadata only Three-dimensional temperature predictions in machining processes using finite difference method(Elsevier Science Sa, 2009) N/A; Department of Mechanical Engineering; N/A; Ulutan, Durul; Lazoğlu, İsmail; Dinç, Cenk; Master Student; Faculty Member; Master Student; Department of Mechanical Engineering; Graduate School of Sciences and Engineering; College of Engineering; Graduate School of Sciences and Engineering; 311604; 179391; N/AThe purpose of this study is to determine the three-dimensional temperature fields on the chip, tool and workpiece during machining, which is one of the most important characteristic of machining processes; since the fields can affect other properties such as residual stresses and tool wear, and thus tool life and fatigue life of finished parts. The finite difference method (FDM)-based model proposed in this paper offers very rapid and reasonably accurate solutions. Finite difference-based simulation results are validated with infrared thermal measurements which are determined from the machining of AISI 1050 and AISI H13 materials under various cutting conditions.