David U. Furrer¹, Vasisht Venkatesh¹, Jean Philippe Thomas¹; ¹Pratt & Whitney

Industry 4.0 and other terms are being used to describe the rapid change of engineering and industry toward a digital environment. Big data and data analytics are moving from business and finance industries to engineering design and manufacturing. These tools are opening up significant possibilities, but the largest opportunities reside in coupling physics-based models and data analytics. Material and Process 4.0 may be defined by the true integration of engineering, manufacturing and quality disciplines through modeling and simulation with uncertainty and probabilistics. This new era is giving rise of advanced modeling methods, sensors, data analytics, uncertainty quantification and linked computational methods. These new capabilities are resulting in more complete model-based product definitions enabling further utilization of material capabilities, smart testing and rapid part and process qualification. Though many aspects of this new infrastructure are being applied, many potential applications continue to emerge as these tools and methods become increasingly seamless.