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Life Prediction of Composite Rotor Blade
Published in Jayantha Ananda Epaarachchi, Gayan Chanaka Kahandawa, Structural Health Monitoring Technologies and Next-Generation Smart Composite Structures, 2016
Rotating wings seek to create an artificial airflow to generate power or thrust. Rotating structures are the important components of transport and energy industries. As such structures age, they are prone to health problems. Health monitoring of rotating structures has therefore received increasing attention in recent years [1–4]. Typically, existing rotor diagnostics rely on track and balance methods and do not isolate the type of damage [5–8]. Most research on rotor health monitoring has addressed metal blades [9–12]. However, the damage mechanics of a composite rotor are different [13–16]. Most wind turbine and helicopter rotor blades are made from composites, and predicting their damage state and life is important.
Hardware-in-the-Loop simulation algorithm for helicopter rotor time-varying echo signals
Published in Systems Science & Control Engineering, 2021
Helicopters have garnered considerable interest for military and civil applications, because of their advantages and suitability in searching, detecting, monitoring, identifying, and locating targets (Mu et al., 2014). The echo of the rotor blades of a helicopter features micro-Doppler (m-D) characteristics (Clemente & Soraghan, 2014; Garry & Smith, 2019; Tahmoush, 2015), which are generally inherent for a radar target; the m-D characteristics exhibit less manual controllability (Guo & Sheng, 2010). Therefore, this feature has been widely studied for the classification and recognition of helicopters (Wu et al., 2018; Zuo et al., 2013). However, to study the m-D characteristics of helicopter rotor echoes, it is necessary to conduct a comprehensive study of the echoes of helicopter rotor blades. Owing to the difficulty in obtaining field experimental data, hardware-in-the-loop (HIL) simulations have become necessary for the echo simulations of helicopter rotor blades.
Enhancing cyber-physical security in manufacturing through game-theoretic analysis
Published in Cyber-Physical Systems, 2018
Zach DeSmit, Aditya U. Kulkarni, Christian Wernz
In modern manufacturing environments, cyber-physical systems are interconnected through an Internet of Things (IoT) network, which enables a group of cyber-physical systems to effectively communicate with each other and manufacture products with minimal human involvement [6]. Cyberattacks on cyber-physical systems often exploit vulnerabilities in the IoT infrastructure and compromise the operation of one or more systems within the network [7]. For example, a cyberattack could exploit a communication protocol in the IoT network and gain control of a valve, which when opened spills caustic chemicals onto the surrounding equipment. Another example is the editing or replacing of manufacturing instructions (G-code) for a helicopter rotor, altering the angle of the helicopter rotor resulting in the production of defective rotor blades.
Optimization of helicopter rotor blade performance by spline-based taper distribution using neural networks based on CFD solutions
Published in Engineering Applications of Computational Fluid Mechanics, 2019
One of the main challenging missions for the designers is to increase the helicopter rotor blade performance in hover condition. The helicopter rotor flow is complicated due to vortical motions and instabilities. This means that more accurate analyses with high fidelity tools are required. Computational Fluid Dynamics (CFD) is a strong tool that is able to capture the complicated flow features of the helicopter flows. However, the CFD analysis of rotor blades is harder compared to the analysis of fixed-wing.