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Probabilistic methods are used in calculating composite part design factors for, and are intended to conservatively compensate for worst case impact to composite parts used on space and aerospace vehicles. The current method to investigate impact damage of composite parts is visual based upon observation of an indentation. A more reliable and accurate determinant of impact damage is to measure impact energy. RF impact sensors can be used to gather data to establish an impact damage benchmark for deterministic design criteria that will reduce material applied to composite parts to compensate for uncertainties resulting from observed impact damage. Once the benchmark has been established, RF impact sensors will be applied to composite parts throughout their lifecycle to alert and identify the location of impact damage that exceeds the maximum established benchmark for impact.

Rapid advances in cloud-based computing, robotics and smart sensors, multi-modal modeling and simulation, and advanced production are transforming modern manufacturing. The shift toward smaller runs on custom-designed products favors agile and adaptable workplaces that can compete in the global economy. This paper and presentation will describe the advances in Digital Manufacturing that provides the backbone to tighten integration and interoperability of design methods interlinked with advanced manufacturing technologies and agile business practices. The digital tapestry that seamlessly connects computer design tools, modeling and simulation, intelligent machines and sensors, additive manufacturing, manufacturing methods, and post-delivery services to shorten the time and cost between idea generation and first successful product-in-hand will be illustrated.