The present work is focused on the Deep Drawing process in warm conditions and in particular on the evaluation of optimal working conditions and/or enhancement of the process limits using metamodels. Experimental tests were carried out with the aim of investigating the effect of the most important process parameters affecting the DD process: the blank holder pressure, the temperature of the Blank holder and the punch speed. The output variable “Progress” (defined as the ratio between the effective and the maximum punch stroke) was fitted using a separate parallel approach based on two different Response Surface construction algorithms. Further experimental tests were thus designed using an optimization approach based on the above mentioned RS, being the aim to enhance the process limits in terms of maximum achievable drawing ratio. The experimental results coming from the second campaign could be also used as a validation set for the results obtained from the initial optimization, thus allowing to identify which of the two initial RS was the most reliable in evaluating the process window.

Investigation about the warm deep drawing of Mg alloys using metamodels

G. Palumbo;A. Piccininni;V. Piglionico;P. Guglielmi;Sorgente D;L. Tricarico
2014-01-01

Abstract

The present work is focused on the Deep Drawing process in warm conditions and in particular on the evaluation of optimal working conditions and/or enhancement of the process limits using metamodels. Experimental tests were carried out with the aim of investigating the effect of the most important process parameters affecting the DD process: the blank holder pressure, the temperature of the Blank holder and the punch speed. The output variable “Progress” (defined as the ratio between the effective and the maximum punch stroke) was fitted using a separate parallel approach based on two different Response Surface construction algorithms. Further experimental tests were thus designed using an optimization approach based on the above mentioned RS, being the aim to enhance the process limits in terms of maximum achievable drawing ratio. The experimental results coming from the second campaign could be also used as a validation set for the results obtained from the initial optimization, thus allowing to identify which of the two initial RS was the most reliable in evaluating the process window.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/22341
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