Mission System integration Rig (MSyIR) setup facilitates the integration, testing, evaluation of Mission payloads of Airborne Surveillance system prior to actual flight test in a controlled environment. In MSyIR, the ...
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ISBN:
(纸本)9798350367393;9798350367386
Mission System integration Rig (MSyIR) setup facilitates the integration, testing, evaluation of Mission payloads of Airborne Surveillance system prior to actual flight test in a controlled environment. In MSyIR, the sensors part of Aircraft surveillance platform can be seamlessly integrated and tested either as actual or simulated. The test setup can use functionally simulated sensor model for all the sensors in the absence of actual sensor. This paper elaborates the framework for a centralized simulation controller that manages multiple airborne sensor simulators in a cohesive manner to perform mission simulation.
The demand for wearable and flexible strain gauges is gradually increasing owing to their ease of integration with the human body. However, despite technological advancements, these sensors face challenges such as env...
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The demand for wearable and flexible strain gauges is gradually increasing owing to their ease of integration with the human body. However, despite technological advancements, these sensors face challenges such as environmental factors, durability concerns, and calibration difficulties. Hydrogels are semi-solids, contain more water than metals or polymers, and are known for their viscoelasticity, ionic conductivity, and shapeability. One of the drawbacks of hydrogel-based sensors is the reduction in conductivity owing to faster dehydration. Herein, we introduce a material combination of poly (vinyl alcohol) (PVA)/NaCl/carbon nanotube (CNT)/polyethylene glycol (PEG)/glycerol (PNCPG) to synthesize an ionic hydrogel that improves electromechanical properties and reduces the pores present in the hydrogel structure. The ionic hydrogel exhibited self-healing properties, allowing the strain sensor to be reused even after tampering. Furthermore, the relative alteration in resistance demonstrated remarkable consistency and dependability when subjected to cyclic strain conditions for successful real-time human motion detection in addition to smart, wearable, flexible strain sensors. The hydrogel exhibited excellent sensitivity to mechanical deformation;as a result, exceptionally efficient stretchy ionic-hydrogel strain sensors offer substantial opportunities for use in flexible human health motions, soft robotics applications, and wearable electronics.
The accurate measurement and the investigation of electromagnetic transients are becoming more important, especially with the increasing integration of renewable energy sources into the power grid. These sources intro...
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The accurate measurement and the investigation of electromagnetic transients are becoming more important, especially with the increasing integration of renewable energy sources into the power grid. These sources introduce new transient phenomena due to the extensive use of power electronics. To achieve this, the measurement devices must have a broadband response capable of measuring fast transients. This paper presents a capacitive electric field sensor-based measurement system to measure transient overvoltages in high-voltage substations. The concept and design of the measurement system are first presented. Then, the design and concept are validated using tests performed in a high-voltage laboratory. Afterwards, two different calibration techniques are discussed: the simplified method (SM) and the coupling capacitance compensation (CCC) method. Finally, three recorded transients are evaluated using the calibration methods. The investigation revealed that the SM tends to overestimate the maximum overvoltage, highlighting the CCC method as a more suitable approach for calibrating transient overvoltage measurements. This measurement system has been validated using various measurements and can be an efficient and flexible solution for the long-term monitoring of transient overvoltages in high-voltage substations.
Bio-compatible strain sensors are indispensable for human monitoring devices, requiring a delicate balance of robustness, flexibility, and sensitivity. However, achieving these attributes concurrently remains a formid...
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Bio-compatible strain sensors are indispensable for human monitoring devices, requiring a delicate balance of robustness, flexibility, and sensitivity. However, achieving these attributes concurrently remains a formidable challenge. This article presents a pioneering approach to fabricate three-dimensional flexible strain sensors using laser-induced graphene (LIG) on polyimide (PI) substrates. Through a one-step laser direct writing (LDW) technique, durable LIG/CuSO4 composites with closed-pore porous structures are synthesized. The integration of copper sulfate within the closed-cell architecture of LIG establishes a resilient conducting pathway, enhancing sensitivity to deformation under tensile stress. The resulting sensor exhibits exceptional performance in monitoring a wide range of human movements, from vigorous activities to subtle oscillations and physiological signals. Notably, the sensor boasts a remarkable sensing range of up to 25% strain, coupled with a high sensitivity characterized by a gauge factor of approximately 597. Rapid response times of 175 ms and quick recovery times of 200 ms further underscore its efficiency. Moreover, the sensor demonstrates outstanding stability and durability, maintaining consistent performance over 5600 cyclic experiments. This innovative approach represents a significant advancement in bio-compatible strain sensor technology, offering a versatile solution for diverse monitoring applications.
This study explores the integration of titanium aluminum nitride (TiAlN) and zirconium aluminum nitride (ZrAlN) thin-film sensors into cutting tools for real-time temperature monitoring during machining of Ti6Al4V tit...
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This study explores the integration of titanium aluminum nitride (TiAlN) and zirconium aluminum nitride (ZrAlN) thin-film sensors into cutting tools for real-time temperature monitoring during machining of Ti6Al4V titanium alloy. These sensors, integrated into a multilayer coating for electrical and wear shielding, were deposited directly onto the tool surfaces and calibrated for temperatures up to 750 degrees C. Due to the integration into the multilayer coating, the sensors exhibit different beta sensitivities across the temperature range, ranging from 108 to 825 K for TiAlN and from 950 to 6681 K for ZrAlN. The cutting tests conducted under various cutting conditions, such as cutting speed, feed rate, depth of cut, and cooling, revealed the influence of these parameters on the cutting temperature. Our findings indicate that the sensor position in the tool's rake face is fundamental for measuring the cutting temperature. The study introduces an innovative tool connector for integration and signal retrieval of the cutting tool in a "plug-and- play" fashion, compatible with industry standards. Additionally, implementing wireless data transmission for real-time and in-situ temperature monitoring offers a pathway for integrating smart cutting tools into modern manufacturing environments, aligning with Industry 4.0.
Shear force sensors play an indispensable role in tactile perception for robot manipulation tasks. However, recent advancements in shear force sensors have been hindered by issues such as direction sensitivity and int...
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Shear force sensors play an indispensable role in tactile perception for robot manipulation tasks. However, recent advancements in shear force sensors have been hindered by issues such as direction sensitivity and integration limitations. This paper proposes a microcolumn array dielectric layer produced using photolithography technology that enables tunability of sensor sensitivity and detection range by adjusting the aspect ratio and interval of the microstructures. Meanwhile, the impact of five constant normal force couplings on the sensitivity of shear force perception is investigated. The structure array with a 1:2 aspect ratio and 600 mu m interval demonstrates an ultrahigh sensitivity of 6.189 N-1 and outstanding linearity (R2 = 0.9873) within the range up to 0.1 N. The sensor exhibits low hysteresis and robust stability over 3000 cycles. Additionally, it exhibits remarkable anisotropic direction sensitivity, enabling accurate positioning within a quarter-circle angle. An intentionally designed orthogonal array is employed to extend the shear angle range up to 360 degrees. Owing to the high performance of the sensor, it is further integrated onto a gripper to facilitate the grasping operation and effectively capture delicate movements. The experimental outcomes highlight that the designed sensor holds promise for applications in robotic applications and electronic skin domains. A capacitive shear force sensor based on microcolumns dielectric layer with a 1:2 aspect ratio and 600 mu m interval realizes ultrahigh anisotropic sensitivity to shear forces from different directions. The single sensor achieves a shear range of 90 degrees, and the range can be further expanded to 360 degrees via orthogonal sensor array. Additionally, the sensor successfully monitors robot grasping. image
The Internet of Things wireless sensor networks (IOTWSNs) are crucial in modern smart systems, where self-organizing sensor nodes enable efficient and flexible network structures for applications like environmental mo...
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The Internet of Things wireless sensor networks (IOTWSNs) are crucial in modern smart systems, where self-organizing sensor nodes enable efficient and flexible network structures for applications like environmental monitoring and smart cities. The task allocation problem in IOTWSNs is NP-hard, making effective strategies essential for optimal network performance. This article proposes an improved artificial jellyfish search algorithm (CECJS) that integrates chaotic initialization, elite, and cloning strategies to enhance global search ability and convergence speed. To evaluate CECJS's efficiency, the article introduces network gain, reflecting both network effectiveness and task completion quality. Experimental results show that CECJS significantly outperforms traditional algorithms like genetic algorithm (GA), simulated annealing (SA), and particle swarm optimization (PSO) in task allocation gains, achieving improvements of several to tens of percentage points. In addition, CECJS exhibits faster convergence, finding near-optimal solutions more efficiently, making it an effective solution for large-scale IOTWSNs task optimization.
The field of fluorescence barcode sensor signal processing is the focus, with the development of a high-throughput fluorescence detection visualization platform that integrates multiple efficient fluorescence array lo...
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The field of fluorescence barcode sensor signal processing is the focus, with the development of a high-throughput fluorescence detection visualization platform that integrates multiple efficient fluorescence array localization algorithms, including manual mask positioning, an optimized k-means++ algorithm, and a projection iterative algorithm designed based on fluorescence image projection data. Comprehensive monitoring, real-time adjustment, and integrated data analysis are enabled by the platform, significantly enhancing the accuracy, speed, and convenience of fluorescence image processing. Experimental results demonstrate that the projection iterative algorithm excels in both accuracy and processing speed, achieving a mean squared error (mse) of 6.42130, which is 20.97% lower than that of the k-means++ algorithm, and a processing time of 1095 ms, which is 80.21% and 94.37% faster than the mask positioning and k-means++ algorithms, respectively. Furthermore, evaluation of different fitting algorithms shows that sigmoid curve fitting performs best across various metrics, with an R-2 value as high as 0.987480, indicating excellent data interpretability and fitting accuracy. Overall, precise, rapid, and efficient signal processing in high-throughput fluorescence detection is achieved, providing robust technical support and innovative tools for related research fields.
sensor networks provide a physical foundation for distributed data acquisition. Monitoring voltage signals at nodes allows real-time assessment of grid operation. Piezoelectric grating voltage sensors offer advantages...
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sensor networks provide a physical foundation for distributed data acquisition. Monitoring voltage signals at nodes allows real-time assessment of grid operation. Piezoelectric grating voltage sensors offer advantages of smaller size, lower cost, strong electromagnetic shielding, and easy network integration, appropriating for intelligent voltage sensing. This study investigates the relationship between device coupling mode and output characteristics of these sensors to improve their performance and advance sensor network applications. Using solid mechanics theory, a device coupling mechanical model is established for a temperature-independent piezoelectric grating voltage sensor employing dual-grating spectral overlay demodulation. Then, a flexible structure with variable stiffness is designed to couple the PZT and FBG. Results show linear voltage sensing in the range of 0-6 kV and 0-1500 N using the flexible coupling structure, with a reduction of spectral shift by 50.86-87.82% through structural design. This research provides insights for enhancing sensor performance and improving the application of optical voltage sensors.
Wall shear stress and flow direction provide a basis for analyzing the boundary layer conditions, investigating drag reduction mechanisms, and enhancing environmental perception. This work presents novel single-loop a...
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Wall shear stress and flow direction provide a basis for analyzing the boundary layer conditions, investigating drag reduction mechanisms, and enhancing environmental perception. This work presents novel single-loop and dual-loop hot-film sensors driven by the constant temperature (CT), which are capable of simultaneously measuring wall shear stress and flow direction. Based on the heat transfer and fluid dynamics theory, a mathematical model is developed to analyze the flow directions. The sensors feature multilayer structures, where the numerous leads are concealed and embedded in the insulation layer to enhance their robustness and integration. Utilizing the microelectromechanical system technology, sensor prototypes with single-loop and double-loop are fabricated. In particular, a new process method for accomplishing junction holes in the polyimide (PI) insulation layer is proposed. The sidewall-to-bottom angle of junction holes fabricated through wet etching is similar to 29.4 degrees. After metal lays are deposited in the junction holes, the upper and bottom surfaces of the insulation layer are able to conduct electricity. Moreover, a testing system consisting of a microchannel and a turbulence generator is established to carry out the experimental verification. Then, the hot-film sensors are tested in the microchannel with a maximum Reynolds number of Re-d = 8600. Low-frequency turbulence as well as natural transition signals are detected by the hot-film sensors successfully. In the range of wall shear stress from 0 to 14.2 Pa, the accuracies of the dual-loop and single-loop hot-film sensors in perceiving flow directions are better than +/- 3 degrees and +/- 6.5 degrees, respectively. This work assists to analyze the boundary layer states, to investigate drag reduction mechanisms, and to enhance environmental perception in flow field.
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