Almost in direct competition with the traditional technique of hand layup, modern automatedmethods have been developed in order to produce the same structural composite material part.These machines are particularly employed in the aerospace industry, and designed to attempt toreduce manufacturing costs, as well as increasing the reliability and quality of the produced part.Despite increasing deployment numbers and uses, such machines are yet to fully replace handlayup as the main method of manufacture within the industry; and perhaps for new builds, furthercomplicates the process of selecting the best manufacturing process for a given component. Forexample, a production engineer must now today not only choose between hand layup andAutomated Fibre Placement (AFP), but also between AFP prepreg or dry fibre infusion; as well asthe curing system to use (including autoclave, oven, and out-of-autoclave options). How suchchoices are made are critical to a component’s success or failure, although little published work isavailable to assist in this arena. The most common approach appears to be based on cost estimates;although it is often the case that detailed understanding is not available (even between materialsusing the same process), which leads to significant risk of capability and performance limitations.This paper seeks to address this, presenting the initial work towards a cost estimation techniquethat includes activity models & cost drivers.
|Number of pages||8|
|Publication status||Published - 14 Nov 2017|
|Event||SAMPE Europe 2017 - Filderhalle Leinfelden-Echterdingen GmbH, Stuttgart, Germany|
Duration: 14 Nov 2017 → 16 Nov 2017
|Conference||SAMPE Europe 2017|
|Period||14/11/17 → 16/11/17|