Optimization can be used to systematically solve complex issues, which is practically impossible to solve with only laboratory testing. Typically, this involves reducing material cost and increase performance. But it can also deal with other problems such as the creation of good printing quality at the flexographic printing or reduce the risk of fractures. Optimization provides:

· Basis for decision on active design decisions

· Better packaging

· Better materials

· Better conversion processes

In the context of optimization, we also take into account robustness. It is not enough to find a design that is good, you have to keep track of the spread that is always apparent in the manufacturing process.

The following article describes a project designed to implement an automated optimization process for automotive parts in aluminum. The project is made to the Norwegian research institute SINTEF Raufoss Manufacturing  AS. The project was part of a project that aimed to ”secure future production of aluminium based automotive components within Norway. This will be done by inventing, developing and industrializing new and radically improved manufacturing technology.”

If you would like to see more projects we have done, please contact us.

Multi-objective optimization of automotive aluminium product