The Fraunhofer Institute for Applied Solid State Physics IAF has developed an innovative radar scanner that identifies defects in the material composition of the wind turbine blades. The defects can now be detected with far greater accuracy and visualized in a cross-sectional view, thereby saving costs in production and operation. The share of wind energy in the electricity mix is steadily increasing around the globe, and is accompanied by a growing need for efficient and high-quality wind turbines. The rotor blades are the centerpiece of a wind turbine, with their production and maintenance subject to rigorous testing procedures.
The rotors, which are usually equipped with three blades, are the central component of all wind turbines. They convert wind into rotational energy, and then into electricity. Much like the wings on an aircraft, the blades are subjected to enormous external loads and therefore must be designed to be extremely robust. Modern wind turbine blades are mainly constructed from glass fiber and carbon fiber reinforced plastics (GFRP / CFRP), so that they can elastically absorb the wind energy from strong gusts without breaking. For a single blade, up to 100 sheets of glass fiber webbing are layered on top of each other, shaped and then glued together with epoxy resin. Quality control is essential at this stage in production: The difficulty lies in layering the glass fiber sheets flat before they are glued, without creating undulations and folds, and avoiding the formation of lumps of resin or sections of laminate which don’t set when applying the epoxy. These kinds of defects, as well as delaminations or fractures, can be identified on a large-scale using infrared thermography. The material scanner enables defects to be identified with even greater accuracy, as depth resolution is also possible with radar technology – even in places where ultrasound methods fail.
At the core of the material scanner is a high frequency radar, which operates in the W-band between 85 and 100 GHz with only very few watts of transmitting power. Specialized software is then used to process the transmitter and receiver signals and visualize the measurement results. The radar module is based on indium gallium arsenide semiconductor technology. It is extremely light and compact thanks to its monolithically integrated construction, in which different components and functions are integrated into a single chip. Measuring 42 x 28 x 79 mm, it is approximately the size of a pack of cigarettes and weighs a mere 160 grams. It has a low power consumption of approximately 5 watts and is fitted with an integrated microcontroller which emits measurement signals via an internet interface.
Future improvements will see the module’s frequency range extended to 260 GHz into the so-called H band. This will quadruple the bandwidth of the radar module from 15 GHz to over 60 GHz.
Wind power has become an indispensable part of an environmentally friendly power supply. Approximately 50 gigawatts, equivalent to 12 percent of the total power in Germany, are generated by over 28,000 wind turbines - with an upward trend. According to the Global Wind Energy Council, the global wind power capacity will quadruple to 2,110 gigawatts by 2030 - constituting 20 percent of the global electricity supply. Therefore it is all the more important for this growth market that wind turbines become more efficient, more reliable and more durable. According to industry experts, weak points in blade production, for example, could result in unplanned additional operation and maintenance costs amounting to several hundred thousand euros over the entire service life of the turbine. To increase the efficiency and reliability of wind turbines, Fraunhofer IAF has developed a material scanner for checking the quality of rotor blades. Using radar-based technology, defects in the material composition of the wind turbine blades can be detected in even greater detail.
In addition to its use in the production of rotor blades, in the future, the Fraunhofer IAF material scanner may also find a role in maintenance, where it could be used to classify defects, such as those caused by the impact of birds. Currently, the routine testing of rotor blades is mainly performed by hand: an expert knocks on the blade with a hammer and can tell from the tone whether there are any defects in that section. An automated solution, supplemented by this radar technology, could vastly reduce the downtime of wind turbines and thus save costs. This is particularly true for the manual maintenance of offshore wind turbines, which must be reached by boat, sometimes on harsh seas - a time-consuming process.
Alternative testing technologies, such as ultrasound solutions, are extremely difficult to integrate into maintenance procedures. Water or gel has to be utilized as a coupling agent, as every air pocket between the sensor and measured part muffles the ultrasound signal to a considerable extent. While this entails certain side effects, it is nonetheless possible when checking for defects during rotor blade production. But applying water or gel to wind turbine blades which are 100 meters in the air is extremely complicated. Because it allows for non-contact remote sensing, radar is the optimal solution in this case.
The radar scanner from Fraunhofer IAF can contribute to the development of innovative material inspections in other industries as well – for example in the aircraft industry. In newer aircraft such as the Boeing 787 Dreamliner or the Airbus A350 the wings in particular are mainly built out of lightweight composite materials. In the aircraft industry, as in the plastics industry, an accurate and rapid defect test during both production and maintenance can save costs and prevent damage caused by material fatigue.
The Fraunhofer IAF will be introducing the material scanner for testing wind turbine blades at the Hannover Messe, hall 17, booth B76, from April 24 - 28, 2017. The radar scanner on display will be conducting tests of different composite plastics and demonstrating the potential for innovative radar technology.
