@article{scholars12323,
       publisher = {Pleiades journals},
            year = {2019},
         journal = {Lecture Notes in Mechanical Engineering},
            note = {cited By 12},
           pages = {1--13},
             doi = {10.1007/978-981-10-9041-7{$_1$}},
          volume = {0},
           title = {Thermal Modelling of Friction Stir Welding (FSW) Using Calculated Young{\^a}??s Modulus Values},
        keywords = {ABAQUS; Friction; MATLAB; Research laboratories; Strain rate; Temperature distribution; Thermoanalysis, Friction stir welding; Friction-stir-welding; Highly accurate; Low strain rates; Material data; Mathematical formulation; Modulus values; Temperature fluctuation; Thermal model; Young{\^a}??s modulus, Friction stir welding},
          author = {Meyghani, B. and Awang, M. and Emamian, S. and Mohd Nor, M. K. B.},
            issn = {21954356},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049773780&doi=10.1007\%2f978-981-10-9041-7\%5f1&partnerID=40&md5=77d502d1b687e311dd0b70644c9bb3da},
        abstract = {The temperature fluctuations present in Friction Stir Welding (FSW), require, detailed thermal analysis of the process. To achieve highly accurate results for the analysis, reliable material data should be obtained. Nevertheless, the material data that are presented in the literature are usually limited to lower strain rate regimes and lower temperatures. Thus, calculating the temperature dependent material properties helps improve the accuracy of the stimulated model. To achieve a reliable material data in the higher range of temperatures, this paper presents a mathematical formulation for calculating temperature dependent Young{\^a}??s modulus values. MATLAB{\^A}(R) and ABAQUS{\^A}(R) software are employed for solving the governing equations and modelling the process, respectively. To compare the results and find the error percentage, the calculated and the documented (constant) values of Young{\^a}??s modulus are applied into two distinct finite element models. Finally, the developed model is validated by comparing the results obtained from experiments with published results. {\^A}{\copyright} 2019, Springer Nature Singapore Pte Ltd.}
}