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Implementation of Taguchi Method for Parametric Optimization of Springback in Cold Drawing of Seamless Tubes


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DOI: https://doi.org/10.15866/ireme.v11i6.12850

Abstract


In tube drawing process, a tube is pulled out through a die and a plug to reduce its diameter and thickness as per the requirement. Dimensional accuracy of cold drawn tubes plays a vital role in further quality of end products and controlling rejection in manufacturing processes of these end products. Springback phenomenon is the elastic strain recovery after removal of forming loads, causes geometrical inaccuracies in drawn tubes. Further this leads to difficulty in achieving close dimensional tolerances. In the present work springback of EN 8 D tube material is studied for various cold drawing parameters. The process parameters in this work include die semi angle, land width and drawing speed. The experimentation is done using Taguchi’s L36 orthogonal array and then optimization is done in data analysis software Minitab 17. The results of ANOVA shows that 15 degree die semi angle, 5 mm land width and 6 m/min drawing speed yields least springback.
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Keywords


ANOVA; Cold Drawing; Optimization; Springback; Taguchi

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References


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