A precision temperature control approach for piezoelectric jet dispenser

Zhou, Can; Chen, Weiqun; Bao, Zhipeng; Deng, Guiling

doi:10.1016/j.ijleo.2019.01.062

Cited by 10 publications

(9 citation statements)

References 15 publications

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“…Though the specular reflectance at 𝜃 = 10°is a little increased, it is still lower than 8% according to the simulated results (Figure S12, Supporting Information) and has a mild influence on the low observability against laser detection. In comparison with the laser stealth materials reported recently, [11][12][13][14][15][16][17]56,57] the BMRS in this work exhibits remarkably decreased specular reflectance and increased scattering angle (Figure 4d). It is convincible that the BMRS can effectively reduce the laser echo signal and realize high-performance laser stealth.…”

Section: Reflection Splitting Properties Of the Bmrssupporting

confidence: 41%

“…We made two same paper models of vehicle, one of them was covered by the tailored BMRS films. The flexibility of BMRS allows it to fit irregular and curved surfaces [11][12][13][14][15][16][17]56,57] Specular and Integral reflectance of scattering metamaterials (upper) and absorption metamaterials (lower) are listed, respectively. The data marked by star are the reflectance of 1540 nm laser.…”

Section: Low Observability Under Nir Laser Detection and Thermal Fieldsmentioning

confidence: 99%

“…[9,10] In particular, based on the DOI: 10.1002/lpor.202200635 flexibility in manipulating the amplitude and phase of electromagnetic wave, various metasurfaces have been proposed and extensively investigated to realize low observability against laser active detection. [11][12][13][14][15][16][17] To minimize the echo signal of detected objects, metasurfaces for laser stealth can absorb the incident signal or scatter the reflection in other directions. For metasurface-based absorbers, the incident light energy is highly absorbed and transformed into heat by the strong magnetic resonance.…”

Section: Introductionmentioning

confidence: 99%

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Bioinspired Meta‐Reflection‐Splitter for Near‐Infrared Laser Stealth with Large Scattering Angle

Liu

Yan

Wang

et al. 2022

Laser & Photonics Reviews

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Metasurface based phase manipulation has shown great capable of controlling anomalous reflection for low observability against laser active detection. However, current meta-based designs for laser stealth in near-infrared (NIR) range suffer from small scattering angles and complex fabrication process, and this hinders their mass productivity and flexible application in actual environments. Here, a bioinspired strategy is proposed to design a meta-reflection-splitter with a large scattering angle and strongly extinct specular reflection for NIR laser stealth, motivated by the color splitting effect on the green scale of butterfly Diaethria clymena. The biological reflection splitting is demonstrated to originate from the 180°phase difference of reflection created by the unsymmetrical laminae on densely arranged ridges. A simple etching-free approach is further developed to generate large-scale meta-reflector-splitter by self-assembly of colloidal particles. This large-area meta-reflector-splitter shows high-efficient low observability (ultralow specular reflectance <1%) accompanied by a scattering angle of nearly 50°under the 1064 nm laser detection as well as a low mid-infrared emissivity. This work sheds light on the phase manipulation of biophotonic structures and thus benefits the innovation in advanced optical materials and devices.

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Section: Reflection Splitting Properties Of the Bmrssupporting

confidence: 41%

Section: Low Observability Under Nir Laser Detection and Thermal Fieldsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Bioinspired Meta‐Reflection‐Splitter for Near‐Infrared Laser Stealth with Large Scattering Angle

Liu

Yan

Wang

et al. 2022

Laser & Photonics Reviews

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“…where I 0 and I BB are the radiative power of the material and blackbody, respectively; R laser represents the specular laser reflectance for scattering-type stealth material, [50,51] such as our work, or the integral laser reflectance for absorption-type stealth material, such as meta-absorbers [13,14,17,52,53] and 1D photonic crystals. [23,54,55] The temperature of calculating the radiative power was set as 426 K, which leads the peak power at 6.5 µm.…”

Section: Resultsmentioning

confidence: 99%

Compatible Stealth Metasurface for Laser and Infrared with Radiative Thermal Engineering Enabled by Machine Learning

Liu

Wang

Xiao

et al. 2023

Adv Funct Materials

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Metasurface-based mid-infrared stealth compatible with visual or laser provide a promising way to increase survivability of military installations. However, current designs of metasurfaces following traditional paradigm suffer from low efficiency on calculating global structural parameters for multispectral requirements and limited thermal radiation engineering. Here, a metasurface with high-performance compatible stealth and effect thermal management is proposed, based on a machine-learning-enabled inverse design approach. The approach can rapidly generate multiple non-unique solutions in global to match the desired spectra in multi-wavebands, utilizing neural networks with physical-based data dimensionality. The finally generated metasurface has low specular reflectance (<0.01) at near-infrared laser wavelength and enhanced broad absorptance peak at 5-8 µm, which is attributed to the reflection splitting effect and infrared plasmonic resonance, respectively. Furthermore, a lowcost fabrication method is developed to produce the metasurface by colloidal lithography. The metasurface is demonstrated to have excellent capability of radiative thermal control and significantly decrease the apparent temperature under thermal imager (>50 °C). This study reveals an opportunity to inversely generate multiple solutions for photonic structures targeting on multispectral responses, in a systematic and efficient manner.

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“…This comparison result also complies with [18] comparing the performance of the on-off controller, PID controller, and fuzzy logic controller. Taking advantage of both PID controller and fuzzy logic controller, it is possible to employ a combination of fuzzy-PID control strategy such as in [19]. Dynamical characteristic of vacuum distiller can be studied from its model.…”

Section: Introductionmentioning

confidence: 99%

Feedback-feedforward fuzzy logic approach for temperature control in bioethanol vacuum distiller

Muslim

Yudha

Ibrahim

2019

IJEECS

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<span>Energy conservation and diversification are becoming a major research issue. Awareness of the limited sources of energy from fossil fuels encourages research on renewable energy. Bioethanol is a promising fuel substitute for gasoline. Bioethanol processing includes sugar extraction, fermentation, distillation, and absorption. Temperature and pressure controls are essential in bioethanol processing. This paper presents a feedback-feedforward fuzzy logic approach for temperature control in a bioethanol vacuum distiller. In this study, vacuum pressure is employed as feedforward inputs for a fuzzy logic controller. The feedforward input directly modifies the main controller, i.e., fuzzy logic controller, through fuzzy rules. The controller is implemented using Arduino Mega 2560 microcontroller. The results show that the proposed feedback-feedforward fuzzy logic controller could successfully maintain the temperature at the desired setpoint value with small steady-state error (3.85%) and relatively shorter settling time compared to classical PID controller and fuzzy logic controller.</span>

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A precision temperature control approach for piezoelectric jet dispenser

Cited by 10 publications

References 15 publications

Bioinspired Meta‐Reflection‐Splitter for Near‐Infrared Laser Stealth with Large Scattering Angle

Bioinspired Meta‐Reflection‐Splitter for Near‐Infrared Laser Stealth with Large Scattering Angle

Compatible Stealth Metasurface for Laser and Infrared with Radiative Thermal Engineering Enabled by Machine Learning

Feedback-feedforward fuzzy logic approach for temperature control in bioethanol vacuum distiller

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