The aerospace industry places high demands on the quality and efficiency of composites manufacturing. This presentation will present a case study demonstrating the use of advanced machinery and technologies to optimize the manufacturing process of composite materials in the aerospace industry. We will discuss the importance of a reliable control system for time-critical material handling, the role of inspection systems and tooling, and the integration of data across manufacturing stages. Additionally, we will explain the application of machine learning for predictive maintenance and optimization of the production process.

• Advanced Machinery for Composites Manufacturing: Introduction of the machines and technologies used to produce high-quality composite materials.
• Intelligent Control and Inspection: Discussion of the importance of a reliable control system for material handling and the role of inspection systems for quality assurance.
• Data Integration and Machine Learning: Explanation of the benefits of integrating data across various manufacturing stages and the application of machine learning to optimize the production process and enable predictive maintenance.