By leveraging recent progress of stochastic gradient descent methods, several works have shown that graphs could be efficiently laid out through the optimization a tailored objective function. In meantime, Deep Learning (DL) techniques achieved great performances in many applications. We demonstrate it is possible to use DL learn graph-to-layout sequence operations thanks graph-related this pap...

Wrinkling, developed due to compressive instability, is one of the main failure modes in deep drawing processes. Depending on die geometry and blank holder force, it can be observed as flange wrinkling and/or side-wall wrinkling. In this study, cylindrical cup process investigated by using different constitutive models that are formed CPB06ex2, Hill’48, BBC2008-8p BBC2008-16p yield criteria wit...

In this work, thermal deep drawing and thermoelectric coupling tests were performed on an annealed ZK60 magnesium alloy sheet to investigate the effect of pulse current formability during process. The effects forming drawn parts studied, changes thinning rate hardness obtained. results showed that using improved increased ultimate depth drawing. value part overall increasing trend, followed by ...