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Numerical and Experimental Solution of Friction Stir Welding of Plates

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Mechatronics 2017 (MECHATRONICS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 644))

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Abstract

Friction Stir Welding (FSW) is one of the most effective solid state joining processes and numerous potential applications in many industries. The simulation process can provide the evolution of physical quantities such as temperature, metallurgical phase proportions, stress and strain which can be easily measured during welding. Numerical modeling requires the modeling of complex interactions between thermal, metallurgical and mechanical phenomena. The aim of this paper is to describe the thermal-fluid-mechanical simulation of FSW using the finite element method and by controlling the temperature at given points. The numerical solved points are compared by experimental data measured using mechatronic systems.

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Acknowledgments

This publication is the result of the project implementation: Research of friction stir welding (FSW) application as an alternative to melting welding methods no. 26240220031 supported by the Research & Development Operational Programme funded by the ERDF.

The paper was supported by the grant from Grant Agency of VEGA no. 1/0742/15 titled “Analysis for Seismic Resistance of Liquid Storage Tanks with Nonlinear and Time-Dependent Parameters” and VEGA no. 1/0740/16 titled “Mathematical model proposal for numerical simulation of creep behavior of TiAL intermetallic alloys”. This work was supported by the Slovak Research and Development Agency under the Contract no. APVV-15-0630 titled “Extension of the Validity of the Computation Standards for the Seismically Resistant Liquid Storage Tanks, in terms of Safety at NPPs and Other Industrial Areas”.

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Correspondence to Roland Jančo .

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Jančo, R., Élesztős, P., Écsi, L. (2018). Numerical and Experimental Solution of Friction Stir Welding of Plates. In: Březina, T., Jabłoński, R. (eds) Mechatronics 2017. MECHATRONICS 2017. Advances in Intelligent Systems and Computing, vol 644. Springer, Cham. https://doi.org/10.1007/978-3-319-65960-2_41

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  • DOI: https://doi.org/10.1007/978-3-319-65960-2_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65959-6

  • Online ISBN: 978-3-319-65960-2

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