Page 44 - MetalForming May 2017

Die Development and Simulation Software
Needless to say that the time consump- tion will only increase if the user is try- ing to identify a complicated or a non- existent solution.”
Optimization might be one way to overcome the limitations of a trial-and-
error approach. “Most of the optimiza- tion tools run a loop of iterations until a good result is found,” Ramamurthy adds. “Optimization is selection of the best input value with regards to some criteria (thinning of 25 percent, for exam-
ple). It loops through several iterations of the input to give an optimal value of thinning. If there are multiple results targeted, optimization becomes more time consuming and complex; or a solu- tion can never be identified. With mul- tiple ‘sensitive’ inputs, it becomes increasingly important to identify if there could ever be a solution associated to a simulation. Depending on the inputs, it’s possible that the simulation might never have a solution if certain input parameters are flawed. So a bad result is as important as a good one.”
Ramamurthy will describe the use of systematic process improvement (SPI) and a robustness check of a virtual stamping process. Learn how new sim- ulation software employs automat- ed/manual issue detection to identify local forming windows, and then pro- poses a combination of design variants to address these issues.
“An entire range of input variables can be checked for a feasible ‘green’ simulation,” Ramamurthy says, “and
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42 MetalForming/May 2017
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