Nanchang Hangkong University

About: Nanchang Hangkong University is a education organization based out in Nanchang, China. It is known for research contribution in the topics: Microstructure & Alloy. The organization has 7004 authors who have published 5270 publications receiving 62162 citations. The organization is also known as: Nanchang Aviation University.

Experiment and prediction of weld morphology for laser oscillating welding of AA6061 aluminium alloy

Abstract: Effects of oscillating diameter (D) and frequency (f) on weld surface and cross-sectional morphologies were investigated in laser welding of AA6061 aluminium alloy with circular beam oscillation. W...

Superhydrophobic fibers from cigarette filters for oil spill cleanup

Abstract: Cigarette butts make up the largest contribution to solid waste worldwide. A promising way to control the environmental impacts of cigarette butts is to convert the filter wastes to desired products. Herein, by immersing cigarette filters sequentially into an aqueous solution of NaOH and an ethanolic solution of hexadecyltrimethoxysilane, the filters became converted into superhydrophobic/superoleophilic fibers, with measured water and kerosene contact angles of 156.9° ± 3.1° and approximately 0°, respectively. Due to this ability to exclude water and absorb kerosene, the so-obtained fibers were used to clean up a staged spill of kerosene on the surface of water. The cleanup efficiency of these fibers was measured to be as high as approximately 96%, and did not decrease after 10 cycles of use. The moisture content in the kerosene collected from the surface of the water was unexpectedly lower than the moisture content in the kerosene before it was poured onto the water surface.

One-step selective laser patterning of copper/graphene flexible electrodes.

Abstract: Flexible electrodes have attracted much attention in consumer electronic applications. In this work, laser direct writing is used to fabricate copper/graphene composite electrodes on a flexible substrate in one step. This direct writing process with a low power laser can reduce copper ions in thin films to form copper nanomaterials and spontaneously interconnect them to gain good conductivity, while the laser also induces the growth of multi-layer graphene that coats on copper to improve the oxidation resistance of electrodes. The electrical performance and chemical composition of flexible electrodes can be tuned by laser power, scanning speed, and defocus distance. A mechanism of in situ reduction and interconnection of copper nanomaterials during laser direct writing has been proposed. This method could largely reduce the oxidation issue by avoiding synthesis and sintering processes of copper nanomaterials. These as-written copper electrodes have good stability and have potential applications in flexible electronics, such as flexible heaters or antennas as demonstrated.

Compound fault diagnosis of rotating machinery based on adaptive maximum correlated kurtosis deconvolution and customized multiwavelet transform

Abstract: Although compound fault diagnosis of rotating machinery based on vibration signals is a prominent method, it is still a challenge due to coupled fault features immersed in strong background noise An adaptive deconvolution and denoising technology based on adaptive maximum correlated kurtosis deconvolution and multiwavelet transform is studied here In combination with Hilbert envelope spectrum analysis, a novel compound fault diagnosis method is proposed in this paper Based on analysis using maximum correlated kurtosis deconvolution (MCKD) theory, a parameter range estimation method is given which is favorable for MCKD parameter optimization Flexible standard multiwavelets are used in post-processing of MCKD to enhance the denoising effect further The minimum of a compound faults characteristic index composed of M-shift correlated kurtosis and square envelope spectrum entropy is adopted as the optimization criterion to set reasonable parameters for MCKD and construct customized multiwavelets using particle swarm optimization The effectiveness of the proposed method is demonstrated by both simulated signal and practical vibration signals of a rotor test rig and an aero engine rotor experimental rig with different compound faults The superior effectiveness and reliability of the proposed method are confirmed by comparison with other fault detection methods