DAPAFK 2

Purpose and goal:

A general trend in aerospace is to move from complex castings to fabricated designs. This leads to complex manufacturing chains, where deviations in processes on sub-components propagate throughout the entire manufacturing process and give rise to quality deviations and associated productivity losses. The project aims to develop different types of optimization algorithms and strategies for automated production control, for application to manufacturing chains for fabricated components.

Expected results and effects:

That the benefit of applying developed algorithms and strategies to a complex manufacturing chain, with respect to quality and productivity, has been demonstrated on an industrially relevant application. Approach and implementation:

The current continuation application aims to evaluate all the optimization algorithms developed during the ongoing project, together with lessons learned and strategies developed by GKN within a currently ongoing industrial case study. This evaluation will take place in an industrially relevant, partly virtual environment, with elements of physical hardware, to demonstrate the benefit in terms of quality and productivity on complex geometries.