How can metal 3D printing promote the intelligent development of energy equipment?

1. Material Innovation: Making the materials that smart energy equipment needs to work
Metal 3D printing goes beyond the limits of existing material systems and gives energy equipment smarter material alternatives that work better in harsh conditions. For instance, the ACP100 reactor pressure vessel 3D printing project, which was a joint effort between the China Nuclear Power Research and Design Institute and Southern Additive Technology, uses electric melting additive technology to make nickel-based alloys that are 15% more resistant to radiation than traditional forgings. At the same time, it has built-in sensor arrays that keep an eye on neutron flux and temperature changes in real time, giving data support for smart control of nuclear reactors.
Vestas uses 3D-printed titanium alloy blade molds in the wind power business. These molds not only cut the time it takes to make the blades from 6 months to 3 weeks, but they also allow the mold to react to stress through topology optimization design. When the blades are hit by severe winds, the lattice structure inside the mold spreads out stress through micro deformation. This makes the equipment last longer and gives the wind turbine health management system structural safety warnings.
There are many examples of technological advances in the realm of hydrogen energy. The University of Manchester produced a 3D-printed graphene nickel matrix composite storage tank that can intelligently control hydrogen adsorption and desorption through nanoscale pore structure. When the pressure within the storage tank gets too high, the graphene coating on the surface of the material will automatically build a conductive network. This will set off the pressure relief mechanism. The "material device system" with its three levels of intelligent response makes transporting hydrogen energy much safer.
2. Technological Innovation: Changing the Smart Gene of Making Energy Equipment
Metal 3D printing is the greatest way to produce smart energy equipment since it has "digital native" qualities. For example, in the production of gas turbines, Siemens Energy uses multi-laser collaborative SLM technology to combine 18 lasers into one device. AI optimizes the scanning path in real time, and the company says this makes the manufacturing of nickel-based superalloys combustion chambers 40% more efficient. More crucially, the digital twin system can easily import the more than 2000 temperature field data points that were created during printing. This lets you build a thermal fatigue model for the whole life of the combustion chamber, which makes it possible to do preventive maintenance.
Raise3D's Metalfuse metal 3D printer can make solar panel fixtures with a density of up to 97% in the field of photovoltaics. It does this by using FFF fuse technology and degreasing sintering post-treatment. The new idea is to put RFID chips directly into the constructions of fixtures. The chips can keep track of things like component temperature and current while the solar power plants are running. They can then send this information to the cloud through the Internet of Things. If the system sees that the power generation efficiency in a given area is dropping abnormally, it will automatically start making spare parts using 3D printing. This will create a closed-loop system for "monitoring diagnosis repair" that is smart and easy to use.
The smart change in how nuclear fuel elements are made is much more important as a standard. The CAP 1400 fuel assembly lower tube seat made by CNNC North Company utilizing SLM technology may change the flow rate of the coolant based on the power of the reactor by using pre unfortunately
3. Digital Twin: Linking the Data Meridian of Smart Energy Devices
A "digital mirror" revolution is happening in energy equipment because metal 3D printing and digital twin technology are coming together in new ways. GE's Predix platform puts fiber optic sensors into 3D printed gas turbine parts, which lets it capture 100,000 data points in real time and make digital models that are very accurate. The system can match physical signals to digital models in 0.1 seconds when the actual device vibrates abnormally while it is working. This lets it find the root of the problem and make repair plans, cutting down on unplanned downtime by 65%.
Vestas' 3D printing pilot project in the wind power industry shows how digital twins can be used in business. The system can predict when parts will break 72 hours in advance and automatically schedule 3D printing equipment to make new ones by creating a digital model of each wind turbine with more than 2000 parameters, along with weather data and records of past operation and maintenance. This method cut operating and maintenance costs by 22% and increased power generation by 3.8% within six months of being put into action.
Using digital twins in the nuclear energy area is more forward-thinking. The TCR initiative at the Oak Ridge National Laboratory in the US wants to make a digital twin with many physical fields, like neutron transport and thermal hydraulics, by 3D printing a model of a reactor core. The system can simulate 100,000 different operatingantuations and automatically come up with the best control strategiess. It cuts the Wait Time by 40% and extends the Fuel Cycle Period by 25%, establishing the groundwork for the intelligent operationsof the fourth generation nuclear energy system.
4. Industrial Ecology: Making a network of smart energy equipment that works together
Metal 3D printing is changing the way energy equipment is made, creating a smart network of "design manufacturing service." ConocoPhillips' work in Alaska is a good example of this: they have set up a mobile metal 3D printing workshop and combined it with an AI-driven system for predicting spare parts demand. This has allowed them to make gas turbine burner plugs in a smart way in their own area. When the device sensor sees that a part is getting more worn out, the system will automatically call up the 3D model from the digital inventory and set up the closest printing factory to make new parts. This cuts the time it takes for the supply chain to respond from 30 weeks to 3 days.
Longi Green Energy's "distributed 3D printing network" is more cutting-edge in the field of photovoltaics. The company has accomplished "localized production+global scheduling" of spare parts by using Raise3D Pro3 Plus printers at photovoltaic power plants throughout the world and combining them with the RaiseCloud remote control system. If the junction box of a power station breaks, the system will first choose the closest 3D printing node to make spare parts. At the same time, it will start a digital twin analysis of what caused the problem so that it doesn't happen again. This "Manufacturing as a Service" (MaaS) concept has made photovoltaic power plants 40% more efficient and cut the cost of electricity by $0.02 per kilowatt hour.