35 research outputs found

    High-power 1560 nm single-frequency erbium fiber amplifier core-pumped at 1480 nm

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    High-power continuous-wave single-frequency Er-doped fiber amplifiers at 1560 nm by in-band and core pumping of a 1480 nm Raman fiber laser are investigated in detail. Both co- and counter-pumping configurations are studied experimentally. Up to 59.1 W output and 90% efficiency were obtained in the fundamental mode and linear polarization in the co-pumped case, while less power and efficiency were achieved in the counter-pumped setup for additional loss. The amplifier performs indistinguishably in terms of laser linewidth and relative intensity noise in the frequency range up to 10 MHz for both configurations. However, the spectral pedestal is raised in co-pumping, caused by cross-phase modulation between the pump and signal laser, which is observed and analyzed for the first time. Nevertheless, the spectral pedestal is 34.9 dB below the peak, which has a negligible effect for most applications

    Single-frequency upconverted laser generation by phase summation

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    The phase summation effect in sum-frequency mixing process is utilized to avoid a nonlinearity obstacle in the power scaling of single-frequency visible or ultraviolet lasers. Two single-frequency fundamental lasers are spectrally broadened by phase modulation to suppress stimulated Brillouin scattering in fiber amplifier and achieve higher power. After sum-frequency mixing in a nonlinear optical crystal, the upconverted laser returns to single frequency due to phase summation, when the phase modulations on two fundamental lasers have a similar amplitude but opposite sign. The method was experimentally proved in a Raman fiber amplifier-based laser system, which generated a power-scalable sideband-free single-frequency 590 nm laser. The proposal manifests the importance of phase operation in wave-mixing processes for precision laser technology

    Characterization of starch structures isolated from the grains of waxy, sweet, and hybrid sorghum (Sorghum bicolor L. Moench)

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    In this study, starches were isolated from inbred (sweet and waxy) and hybrid (sweet and waxy) sorghum grains. Structural and property differences between (inbred and hybrid) sweet and waxy sorghum starches were evaluated and discussed. The intermediate fraction and amylose content present in hybrid sweet starch were lower than those in inbred sweet starch, while the opposite trend occurred with waxy starch. Furthermore, there was a higher A chain (30.93–35.73% waxy, 13.73–31.81% sweet) and lower B2 + B3 chain (18.04–16.56% waxy, 24.07–17.43% sweet) of amylopectin in hybrid sorghum starch. X-ray diffraction (XRD) and Fourier transform infrared reflection measurements affirm the relative crystalline and ordered structures of both varieties as follows: inbred waxy > hybrid waxy > hybrid sweet > inbred sweet. Small angle X-ray scattering and 13C CP/MAS nuclear magnetic resonance proved that the amylopectin content of waxy starch was positively correlated with lamellar ordering. In contrast, an opposite trend was observed in sweet sorghum starch due to its long B2 + B3 chain content. Furthermore, the relationship between starch granule structure and function was also concluded. These findings could provide a basic theory for the accurate application of existing sorghum varieties precisely

    A Novel Denoising Method for Retaining Data Characteristics Brought from Washing Aeroengines

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    Airlines evaluate the energy-saving and emission reduction effect of washing aeroengines by analyzing the exhaust gas temperature margin (EGTM) data of aeroengines so as to formulate a reasonable washing schedule. The noise in EGTM data must be reduced because they interfere with the analysis. EGTM data will show several step changes after cleaning the aeroengine. These step changes increase the difficulty of denoising because they will be smoothed in the denoising. A denoising method for aeroengine data based on a hybrid model is proposed to meet the needs of accurately evaluating the washing effect. Specifically, the aeroengine data is first decomposed into several components by time and frequency. The amplitude of the component containing the most noise is amplified, and Gaussian noise is added to generate noise-amplified data. Second, a Gated Recurrent Unit Autoencoder (GAE) model is proposed to capture engine data features. The GAE is trained to reconstruct the original data from the amplified noise data to develop its noise reduction ability. The experimental results show that, compared with the current popular algorithms, the proposed denoising method can achieve a better denoising effect, retaining the key characteristics of the aeroengine data

    Adaptive Levenberg–Marquardt Algorithm: A New Optimization Strategy for Levenberg–Marquardt Neural Networks

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    Engineering data are often highly nonlinear and contain high-frequency noise, so the Levenberg–Marquardt (LM) algorithm may not converge when a neural network optimized by the algorithm is trained with engineering data. In this work, we analyzed the reasons for the LM neural network’s poor convergence commonly associated with the LM algorithm. Specifically, the effects of different activation functions such as Sigmoid, Tanh, Rectified Linear Unit (RELU) and Parametric Rectified Linear Unit (PRLU) were evaluated on the general performance of LM neural networks, and special values of LM neural network parameters were found that could make the LM algorithm converge poorly. We proposed an adaptive LM (AdaLM) algorithm to solve the problem of the LM algorithm. The algorithm coordinates the descent direction and the descent step by the iteration number, which can prevent falling into the local minimum value and avoid the influence of the parameter state of LM neural networks. We compared the AdaLM algorithm with the traditional LM algorithm and its variants in terms of accuracy and speed in the context of testing common datasets and aero-engine data, and the results verified the effectiveness of the AdaLM algorithm

    Effect of Bimetallic Dimer-Embedded TiO2(101) Surface on CO2 Reduction: The First-Principles Calculation

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    The first-principles calculation was used to explore the effect of a bimetallic dimer-embedded anatase TiO2(101) surface on CO2 reduction behaviors. For the dimer-embedded anatase TiO2(101) surface, Zn-Cu, Zn-Pt, and Zn-Pd dimer interstitials could stably stay on the TiO2(101) surface with a binding energy of about −2.36 eV, as well as the electronic states’ results. Meanwhile, the results of adsorption energy, structure parameters, and electronic states indicated that CO2 was first physically and then chemically adsorbed much more stably on these three kinds of dimer-embedded TiO2(101) substrate with a small barrier energy of 0.03 eV, 0.23 eV, and 0.12 eV. Regarding the reduction process, the highest-energy barriers of the CO2 molecule on the Zn-Cu dimer-embedded TiO2(101) substrate was 0.31 eV, which largely benefited the CO2-reduction reaction (CO2RR) activity and was much lower than that of the other two kinds of Zn-Pt and Cu-Pt dimer-TiO2 systems. Simultaneously, the products CO* and *O* of CO2 reduction were firmly adsorbed on the dimer-embedded TiO2(101) surface. Our results indicated that a non-noble Zn-Cu dimer might be a more suitable and economical choice, which might theoretically promote the designation of high CO2RR performance on TiO2 catalysts

    Synthesis and properties of a novel waterborne photosensitive resin for 3D printing

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    A series of novel waterborne photosensitive resins were prepared successfully with poly(propylene oxide) bis(2-aminopropyl ether), tricyclodecane dimethanol diacrylate, 2-isocyanatoethyl acrylate, and hydrochloric acid by Michael addition reaction. The results show that with the increasing double bonds content, the double bonds conversion increases from 78.7, 85.6 to 92.8% in the photopolymerization, respectively, and the gel content of the UV-cured film increases from 48.05, 69.10 to 83.28%. In addition, the glass transition temperature and tensile strength of the UV-cured film follow the same increasing trend. Moreover, the content of hydrochloride has a great influence on the hydrophilicity of the waterborne photosensitive resins. The studies indicated that as the hydrochloride content decreases, the surface water contact angle of the UV-cured film increases from 10.8, 22.9 to 51.5°, and water absorption decreases from 26.55, 16.20 to 11.06%, respectively. Moreover, the waterborne photosensitive resins exhibited a high printing accuracy together with a good effect of washing and are promising for 3D printing

    Rational Design of and Mechanism Insight into an Efficient Antifreeze Peptide for Cryopreservation

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    The development of effective antifreeze peptides to control ice growth has attracted a significant amount of attention yet still remains a great challenge. Here, we propose a novel design method based on in-depth investigation of repetitive motifs in various ice-binding proteins (IBPs) with evolution analysis. In this way, several peptides with notable antifreeze activity were developed. In particular, a designed antifreeze peptide named AVD exhibits ideal ice recrystallization inhibition (IRI), solubility, and biocompatibility, making it suitable for use as a cryoprotective agent (CPA). A mutation analysis and molecular dynamics (MD) simulations indicated that the Thr6 and Asn8 residues of the AVD peptide are fundamental to its ice-binding capacity, while the Ser18 residue can synergistically enhance their interaction with ice, revealing the antifreeze mechanism of AVD. Furthermore, to evaluate the cryoprotection potential of AVD, the peptide was successfully employed for the cryopreservation of various cells, which demonstrated significant post-freezing cell recovery. This work opens up a new avenue for designing antifreeze materials and provides peptide-based functional modules for synthetic biology

    Analysis of the Postharvest Storage Characteristics of Two New Pear Cultivars ‘Shannongsu’ and ‘Xincixiang’

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    ‘Shannongsu’ and ‘Xincixiang’ were two new late-ripening pear cultivars with high quality, that were bred by our team. In order to clear the postharvest storage characteristics, mature pears were collected and stored at room temperature. Several fruit characteristics were evaluated over time, such as firmness, ethylene release rate, content of aroma components, softening-related enzyme activity, and gene expression. Both ‘Shannongsu’ and ‘Xincixiang’ were crisp and juicy stored after 60 d at room temperature, which exhibited excellent storage characteristics. The storability may be comprehensive result of low levels of ethylene production, aroma synthesis, softening-related activities, and gene expression. The research cleared the storage characteristics of ‘Shannongsu’ and ‘Xincixiang’ at room temperature for the first time, which will provide scientific theoretical guidance for fruit production and marketing
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