Issue link: https://resources.mouser.com/i/1442832
Machine learning offers the opportunity to use digital data to model, analyze, train, apply, and infer how best to make decisions. AI is helping to change the traditional perspective of computing, moving it beyond what primarily has been an automating- and scaling-process perspective towards a knowledge-based perspective via actionable insights. Soon, it will help engineers gather new ideas and ways to create value. By using a data-science approach, rapidly powered decisions will enable the generation of further opportunities. ADDITIVE MANUFACTURING Additive manufacturing (AM) is a method of production in which 3D objects are built by adding layer-upon-layer of material. AM holds promise because it leads to industries that can address variable demand and produce products that are distributable and flexible. Two areas of AM—3D printing and digital thread—are advancing to make digital twinning possible. 3D PRINTING 3D printing is perhaps the most well-known example of AM. In 3D printing, a printer is programmed to print an object using plastics, metals, or other custom materials with virtually zero lead-time. 3D printing is extremely flexible and eliminates the issues involved in producing objects with significant economies of scale. What this means for the future is that you will be able to get what you want quickly—as if walking up to the fast-food counter. DIGITAL THREAD With complex systems, however, AM has been confined primarily to the laboratory because all the systems involved do not operate under a unified system and, thus, are hard to scale. Digital thread promises to change that. A digital thread is a single, seamless strand of data that acts as the constant behind a data-driven digital system. It activates the potential of AM by allowing a unification of disparate applications by way of their adherence to the thread, which is their source of shared information. A digital thread creates an easier process for collecting, managing, and analyzing data from every location involved in the redesigned Industry 4.0. It enables a better and more efficient design, production, and utilization throughout the entire process. n | 29 | CONCLUSION Digital twinning will be a hallmark of Industry 4.0, helping to increase gains, efficiencies, and flexibility for existing products and processes. But digital twinning is just one part of the Industry 4.0 road map. Pairing technologies, CPS, AI, and AM are key to seamlessly bringing together the physical realm and the realm of its DT information and insights. While these technologies are bringing their complexities into the digital twinning equation, ultimately, they promise to enable Industry 4.0 to manifest its potential. SOLUTIONS FOR ROBOTS AND ROBOT CONTROL