What role does additive manufacturing play in intelligent manufacturing systems?

1. Additive Manufacturing: Intelligent Manufacturing's "Digital Gene" Carrier
Using digital technology to provide precise control across the whole lifecycle is the foundation of intelligent manufacturing systems, and additive manufacturing's "discrete stacking" approach is inherently infused with digital genes. A three-dimensional digital model is used as input, and by stacking materials layer by layer, the manufacturing process creates solid parts without the need for conventional manufacturing procedures like mold development and multiprocess processing, enabling a smooth "design to production" transition.
Using the fuel nozzle of an aircraft engine as an example, Platinum Technology uses laser selective melting (SLM) technology to complete the formation of complex internal flow channels in a single printing, reducing the number of parts from 56 to 1 and increasing material utilization from 30% to 95%. Traditional manufacturing requires more than 20 processes, including welding and milling. Additive manufacturing is a crucial instrument for attaining product innovation in intelligent manufacturing because of its "holistic and lightweight" design capabilities. The digital production capabilities of additive manufacturing for complex structural parts is the primary driver of the aerospace sector's 16.7% share of the global 3D printing market, according to data.
2. The 'Neural Center' of Flexible Manufacturing: Additive Manufacturing
The "mold free, rapid prototyping" features of additive manufacturing make it the foundation of flexible manufacturing systems, and intelligent manufacturing is fundamentally about meeting the manufacturing needs of small batches, various varieties, and rapid iteration. A closed-loop iteration of the "design print test" can be accomplished by connecting additive manufacturing equipment to the industrial Internet and receiving real-time design change instructions.
Sino Power Company has reduced the research and development cycle of electro-hydraulic servo valves from 18 months to 3 months in the automotive industry by utilizing additive manufacturing technology. In just a few minutes, its in-house AI-assisted design software can create a fluid performance optimized flow channel model based on simple parameters like external dimensions and pipeline connection relationships. It can then print parts that satisfy performance requirements directly from SLM equipment. Additive manufacturing is a crucial technique in intelligent manufacturing to deal with market unpredictability because of this "demand driven, rapid response" manufacturing approach.
More significantly, the global supply chain is changing as a result of the mix of distributed manufacturing and additive manufacturing. By using adhesive jet (BJ) technology to print shoe molds in batches, Micron 3D's M420 multi-light industrial equipment lowers total costs by 40% when compared to traditional CNC machining. By lowering logistics expenses and inventory backlogs, this "localized, on-demand production" approach strengthens the risk-resilience of intelligent manufacturing systems.
3. Additive Manufacturing: Quality Control's Intelligent Sentry
While additive manufacturing combines IoT sensors and AI algorithms to provide a comprehensive process quality monitoring system, intelligent manufacturing necessitates that the manufacturing process have self-perception, self-decision, and self-optimization capabilities. High-speed cameras, infrared thermal imagers, and other equipment can gather data in real time during the printing process, including melt pool temperature and powder spreading thickness. Machine learning models can also be used to predict the likelihood of defects and automatically modify parameters like laser power and scanning speed.
In order to achieve real-time identification and closed-loop control of defects like cracks and pores, Beijing Yuding Additive Manufacturing Research Institute has implemented multi-sensor fusion technology in the production of big metal components. Its "digital twin" method can raise the yield of big titanium alloy components from 60% to 92%, identify process risks beforehand, and replicate the printing process in virtual space. The key to guaranteeing product consistency in intelligent manufacturing is additive manufacturing, according to this "data-driven, intelligent decision-making" quality control paradigm.
4. The 'Practitioner' of Green Manufacturing: Additive Manufacturing
Achieving effective resource use and lowering carbon emissions is one of the ultimate goals of intelligent manufacturing, and additive printing's "near net shape" features make it a prime example of green manufacturing. By carefully managing material deposition, additive manufacturing can reduce the amount of waste produced by mechanical processing to 5%, whereas traditional subtractive manufacturing generates up to 70% of waste. For instance, the 3D printed gasoline nozzles from GE Aviation are 25% lighter than the conventional forged parts, saving airlines more than $500 million in fuel expenses per year and lowering CO2 emissions by 1.2 million tons.
Furthermore, additive manufacturing's "remanufacturing" potential offers a fresh approach to equipment lifecycle management. By locally repairing aircraft engine turbine blades using electron beam melting (EBM) technology, Rolls-Royce is able to triple blade life and save maintenance costs by 60%. In keeping with the sustainable development idea of intelligent manufacturing, this "repair rather than replace" approach not only prolongs the equipment's service life but also lowers resource consumption.