Trimming quality improvement

[Focus Area]: Digital Industry	[Type]: Automation	[TRL Level]: 7	[Linked WPs]: 1,3,4,6	[Linked PIARCHs]: A4,A5
[Innovation areas]: Distributed measurement system, machine learning, data analysis platform, industrial computing pre-integrated architecture
[Potential vertical/horizontal markets]: Digital manufacturing		[Potential market entry]: S2 2023		[Re-engineering effort]: 50-65 MM
During trimming/milling on composite materials of the fuselage delamination may occur, due to different phenomena that are difficult to manage because of the high complexity and high numbers of variables affecting the process. Objective: collect data coming from sensors and numerical control machines, analyze it with a quality statistic algorithm to understand the main root causes of defects and then provide real-time information in order to change the setting of machine parameters to reduce the risk of defect.