Using piezoresistive pressure sensors for resin flow monitoring in wind turbine blades

Dimassi, Adli; Gleason, Minerva G. Vargas; Hübner, Martina; Herrmann, Axel S.; Lang, Walter

doi:10.1016/j.matpr.2020.01.493

Cited by 8 publications

(4 citation statements)

References 3 publications

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“…Similarly, [4] used wired pressure sensors in wind turbine blade manufacturing. [5] and [6] integrated off-the-shelf RFID transponders to monitor production, thereby showing that embedding wireless sensors into FRP is generally feasible.…”

Section: State Of the Artmentioning

confidence: 99%

E5.4 - Material-integrated Temperature Sensors for Wireless Monitoring of Infusion and Curing in Composite Production

Betram,

Brink,

Lang

2023

Lectures

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This paper presents a novel sensor node for wireless monitoring of local laminate temperature for production of fibre reinforced plastic (FRP) composites. The sensor is realized as a battery-less, flexible RFID tag for material integration and therefore usable throughout the whole composite life cycle. Measurement results are reported for a case study of an eight-layer glass fiber composite production, allowing for flow front monitoring during infusion, and giving information about curing progress.

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Section: State Of the Artmentioning

confidence: 99%

E5.4 - Material-integrated Temperature Sensors for Wireless Monitoring of Infusion and Curing in Composite Production

Betram,

Brink,

Lang

2023

Lectures

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“…As pressure plays an important role for infusion and resin flow through the fibers, pressure sensors can also be used for the monitoring of flow front and impregnation, as the local pressure changes with the resin arrival, especially in a vacuum [ 8 ]. Wired piezoresistive pressure sensors were used by [ 15 ] to measure the pressure gradient during a VARI production process of wind turbine blades. Similarly, ref.…”

Section: Introductionmentioning

confidence: 99%

Wireless, Material-Integrated Sensors for Strain and Temperature Measurement in Glass Fibre Reinforced Composites

Bertram

Brink²,

Lang

2023

Sensors

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Fiber reinforced plastics (FRP) offer huge potentials for energy efficient applications. Special care must be taken during both FRP fabrication and usage to ensure intended material properties and behavior. This paper presents a novel approach for the monitoring of the strain and temperature of glass fibre reinforced polymer (GFRP) materials in the context of both production process monitoring and structural health monitoring (SHM) applications. The sensor is designed to be integrated into GFRPs during the production process, and the sensor concept includes possibilities of automated placement during textile layup. To minimize sensor impact on GFRP integrity and to simplify vacuum setup and part handling, the sensor operates without the need for either wires or a battery. In the first sections of this work, sensor concept, design and prototype fabrication are presented. Subsequently, it is shown how the sensors can be used for flow front monitoring and cure estimation during GFRP production by measuring local resin temperature. The resulting specimens are then characterized regarding strain measurement capabilities, mechanical influence on the host component and overall system limitations. Average strain sensor accuracy is found to be ≤0.06 mm/m, while a maximum operation temperature of 126.9 °C and a maximum reading distance of 38 mm are measured. Based on a limited number of bending tests, no negative influence of sensor presence on breaking strength could be found. Possible applications include structural components, e.g., wind turbine blades or boat hulls.

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“…Recently IoT wireless devices have been used more and more for Structural Health Monitoring (SHM) to detect anomalies early on [7]. Moreover, in-field monitoring using distributed systems has also been investigated and deployed in previous publications [8,9,10].…”

Section: Introductionmentioning

confidence: 99%

Aerosense: Long-Range Bluetooth Wireless Sensor Node for Aerodynamic Monitoring on Wind Turbine Blades

Polonelli

Deparday

Müller

et al. 2022

J. Phys.: Conf. Ser.

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Predictive maintenance and structural health monitoring are challenging and promising research fields today. In particular, cost-effective and long-term monitoring of wind turbines has been proven to be one of the key elements to successfully increase their efficiency. Accurate numerical modeling and real-time control-in-the-loop play an increasingly prominent role in understanding and optimizing blade aerodynamic and acoustic performances. A non-intrusive and modular measurement system is a prerequisite for long-term measurement campaigns in existing and future wind turbines. Current methods of performing aerodynamic and acoustic field measurements are cumbersome and expensive, leading to a shortage of aerodynamic and acoustic datasets on operating wind turbines. This paper demonstrates the ability of the new Aerosense system to operate successfully in the field. Aerosense is a long-lasting battery-operated and flexible wireless sensor node that can directly measure aerodynamic and acoustic effects on wind turbine blades. It consists of an array of state-of-the-art Micro-Electro-Mechanical Systems (MEMS) sensors, including 40 barometers and 10 microphones, combined with an ultra low power system-on-chip with wireless transmission over Bluetooth 5.1. Experimental results demonstrate the possibility of continuously acquiring data for up to four months on a single lithium battery of 8.7 Ah, featuring an absolute accuracy of 10Pa and an audio bandwidth of 6kHz.

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Using piezoresistive pressure sensors for resin flow monitoring in wind turbine blades

Cited by 8 publications

References 3 publications

E5.4 - Material-integrated Temperature Sensors for Wireless Monitoring of Infusion and Curing in Composite Production

E5.4 - Material-integrated Temperature Sensors for Wireless Monitoring of Infusion and Curing in Composite Production

Wireless, Material-Integrated Sensors for Strain and Temperature Measurement in Glass Fibre Reinforced Composites

Aerosense: Long-Range Bluetooth Wireless Sensor Node for Aerodynamic Monitoring on Wind Turbine Blades

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