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A study on heat-flow analysis of friction stir welding on a rotation affected zone
강성욱,장범선,김재웅 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.9
In recent years, as interest in environmental protection and energy conservation rose, technological development for lightweight efficiencyof transport equipment, such as aircrafts, railcars, automobiles and vessels, have been briskly proceeding. This has led to an expansionof the application of lightweight alloys such as aluminum and magnesium. For the welding of these lightweight alloys, frictionstir welding has been in development by many researchers. Heat-flow analysis of friction stir welding is one such research. The flow andenergy equation is solved using the computational fluid dynamic commercial program ‘Fluent’. In this study, a rotation affected zoneconcept is imposed. The rotation affected zone is a constant volume. In this volume, flow is rotated the same as the tool rotation speedand so plastic dissipation occurs. Through this simulation, the temperature distribution results are calculated and the simulation results arecompared with the experimental results.
Study on fatigue experiment for transverse butt welds under 2G and 3G weld positions
강성욱,박용만,장범선,전유철,김성민 대한조선학회 2015 International Journal of Naval Architecture and Oc Vol.7 No.5
Although the transverse butt weld method with ceramic backing strip has been widely used in various industrial fields for its fabricational convenience, it is rarely used in offshore industries since the fatigue strength of the weld joint has not been proved sufficiently. This study conducted fatigue tests for series of butt weld specimens with horizontal (2G) and vertical (3G) welding positions in order to verify the fatigue strength compared to S-N curve by DNV (Det Norske Veritas), IIW (International Institute of Welding) and Eurocode 3. The difference of the 2G specimens and the 3G specimens are investigated in terms of angular distortion and the effect on the fatigue strength are analyzed.
강성욱,김민지,이요셉,유승한 한국자동차공학회 2023 한국 자동차공학회논문집 Vol.31 No.9
As the development of control systems used to improve vehicle driving stability becomes more advanced, determining the intervention time of the control logic has become increasingly important. Oversteer is one of the critical factors in determining the lateral stability of a vehicle. Therefore, not only autonomous vehicles, but all vehicles require accurate predictions and judgments for oversteer to ensure driving safety. In this paper, a neural network-based artificial intelligence methodology was used to predict the presence or absence of oversteer. While previous research has been painstakingly conducted with complex judgment conditions and lookup tables, the oversteer decision model based on artificial neural networks of this paper can save time and cost because it can determine whether oversteer occurs without having to consider different individual variables. This model has been validated by using real vehicle experimental data under different driving scenarios.