MAY 2024AEROSPACEDEFENSEREVIEW.COM93. Speed and Efficiency: Utilising the capability of high-speed machining and multiple machine operations4. Integration and connectivity: Retrofit and modernisation of CNC machines to leverage CAD/CAM, remote monitoring, IoT, data analytics and Artificial Intelligence (AI)Future outlook: AI and CNC integrationThe ability to produce complex geometries with high precision makes CNC machining indispensable for components such as turbine blades, structural frames and complicated assemblies. Accordingly, CNC machining is a cornerstone of aerospace and defence manufacturing and will benefit greatly from the integration of AI. Several aspects will benefit even more, including predictive maintenance, where modern control units and sensors can collect previously unknown amounts of data and incorporate learning algorithms to predict potential failures and wear. Furthermore, optimisation algorithms can automatically adjust machining parameters (feed rate, cutting speed, etc.) based on material characteristics, temperatures, wear, etc. Third, quality control will greatly benefit from visual inspection capabilities in combination with sensory data. Detecting defects or anomalies will be automated, and process control and documentation will be simplified. Finally, adaptive machining adjusts machining processes in real time based on feedback from sensors and learning algorithms.Challenges and ConsiderationsThe integration of AI into CNC machining offers significant benefits, but companies should take the necessary precautions before embarking on this journey. Data security is one of today's major challenges when incorporating cloud and extensive data-based approaches. Firms must consider security measures since these approaches require extensive connectivity. Furthermore, implementing and maintaining AI requires firms to recruit or develop specialised skills typically not present in traditional machining training. Finally, firms must collaborate with authorities in order to ensure regulatory compliance.ConclusionThe future of CNC machine learning in aerospace and defence looks promising. AI technology advances and a growing adoption of data-driven manufacturing will likely drive further innovations. For this transformative era to be successful, the industry must establish and maintain strong collaborations with authorities and academia. Tim Komkowski
< Page 8 | Page 10 >