15 research outputs found

    Fault Diagnosis and Prediction System for Metal Wire Feeding Additive Manufacturing

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    In the process of metal wire and additive manufacturing, due to changes in temperature, humidity, current, voltage, and other parameters, as well as the failure of machinery and equipment, a failure may occur in the manufacturing process that seriously affects the current situation of production efficiency and product quality. Based on the demand for monitoring of the key impact parameters of additive manufacturing, this paper develops a parameter monitoring and prediction system for the additive manufacturing feeding process to provide a basis for future fault diagnosis. The fault diagnosis and prediction system for metal wire supply and additive manufacturing utilizes STM 32 as its core, enabling the capture and transmission of temperature, humidity, current, and voltage data. The upper computer system, designed on the LabVIEW 2019 virtual instrument platform, incorporates an LSTM neural network model and facilitates a connection between LabVIEW and MATLAB 2019 to achieve the prediction function. The monitoring and prediction system established in this study is intended to provide basic research assistance in the field of fault diagnosis

    Mild pyrolysis of ionic self-assembled cobalt porphyrins on carbon toward efficient electrochemical conversion of CO2 to CO

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    We report ionic self-assembly of two oppositely charged cobalt(QIII) porphyrins (CoPs) on carbon coupled with subsequent mild pyrolysis at 350 degrees C, making CoPs lose some peripheral groups and become tightly adsorbed on the carbon with a high faradaic efficiency of 88 +/- 1.5% and a current density of 8 mA cm(-2) at a low overpotential of 430 mV toward electrochemical conversion of CO2 to CO

    Three-point bending performances of integral-forming aluminum foam sandwich

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    In the course of service, integral-forming aluminum foam sandwich (IFAFS) needed to bear three-point bending loads in different directions, however, its deformation mechanism and failure modes were still unclear. In this work, three-point bending performances of IFAFS under flatwise and edgewise bending conditions were investigated by experiment, in-situ micro X-ray tomography and digital volume correlation (DVC) calculation. The results showed that three-point bending performance was more stable under edgewise bending condition, and with the decrease of span length IFAFS presented three different failure modes of oblique core shear, asymmetric and symmetrical surface fracture. In addition, porosity mutation was a significant reason for crack initiation, and optimizing pore homogeneity was important to improve the performance and predictability of failure location. Different strengthening effect of sandwich structure anisotropy and different internal deformation evolutions caused by internal strain vortex were two main reasons which lead to performance difference of IFAFS with different solid panel directions. Connection of pre-existing micropores with dimple-like micropores generated during deformation process leads to the failure of IFAFS. The key factors to further optimize three-point bending performance and predictability of IFAFS was to homogenize the pore distribution of IFAFS

    Uniform PdH0.33 nanodendrites with a high oxygen reduction activity tuned by lattice H

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    We report the synthesis of β-palladium hydride nanodendrites (PdH0.33 NDs). The uniform PdH0.33 NDs are 36.3 ± 5.0 nm in diameter and selectively expose (111) planes decorated with (221) and (331) high-indexed steps. The PdH0.33 NDs show a high mass activity of 0.719 A/mgPd at 0.9 V (vs. reversible hydrogen electrode-RHE) toward alkaline oxygen reduction reaction (ORR), which is 3.7 and 6.3 times that of commercial Pt/C and house-made Pd/C, respectively. This study exemplifies the possibility of using special morphology and lattice H to modify the strain and electronic effect of metal for the optimization of functionalities. Keywords: Palladium hydride, Nanodendrites, Oxygen reduction reaction, Oxygen adsorption energ
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