A5038636716- Advanced Surface Polishing Techniques
- Metal and Thin Film Mechanics
- Advanced machining processes and optimization
- Integrated Circuits and Semiconductor Failure Analysis
- Welding Techniques and Residual Stresses
- Nuclear Physics and Applications
- Nuclear physics research studies
- Semiconductor materials and devices
- Industrial Vision Systems and Defect Detection
- Astronomical and nuclear sciences
- Advanced materials and composites
- Metal Alloys Wear and Properties
- Gear and Bearing Dynamics Analysis
- Nanofabrication and Lithography Techniques
- Manufacturing Process and Optimization
- Advanced NMR Techniques and Applications
- Diamond and Carbon-based Materials Research
Harbin Institute of Technology
2024-2025
Shanghai Jiao Tong University
2024
Peking University
2022
State Key Laboratory of Nuclear Physics and Technology
2022
Tool condition is crucial for guarantee processing efficiency and surface quality. However, the complex industrial environment, limited computational conditions, less training data present a challenge to accuracy of tool monitoring. This paper introduces lightweight deep learning method that achieves highly accurate end-to-end image segmentation wear, thereby reducing complexity memory consumption. To reduce model parameters, axial Depth-Wise (DW) convolution used, which combines...
Nickel–phosphorus (NiP) alloys have been widely used in many engineering fields such as aerospace, automotive, and optics; however, it is difficult to study the material removal mechanism microscopic size changes polishing process of nickel–phosphorus through simple experiments. In light these difficulties, there a need improve our understanding surface friction wear mechanisms NiP materials. present study, molecular dynamics simulations are employed for first time investigate mechanism,...
Since tool wear accumulates in the cutting process, condition of shows a degradation trend, which ultimately affects surface quality. Tool monitoring and prediction are significant importance intelligent manufacturing. The signal short-term randomness due to non-uniform materials workpiece, making it difficult accurately monitor by relying on instantaneous signals. To reduce impact transient fluctuations, this paper proposes novel network based deep learning predict wear. Firstly, CNN model...
Prompt and delayed γ-ray spectroscopy of the neutron-deficient, semi-magic isotope 187Pb has been performed using recoil-decay isomer-decay tagging techniques at Argonne Gas-Filled Analyzer. A new 5.15(15)-μs isomeric state only 308 keV above spherical 3/2− ground is identified classified as a shape isomer. strongly-coupled band observed on top isomer, which nearly identical to one built prolate 7/2−[514] Nilsson in isotone 185Hg. Based this similarity result potential-energy surface...
Carbon fiber-reinforced polymer (CFRP) is a multiphase material consisting of fibers, interfaces, and matrix. Due to their excellent mechanical properties, they are widely used in the energy, military, aerospace sectors. However, due anisotropic non-homogeneous nature material, tool wear inevitably occurs during machining. In order ensure quality machining control costs, condition monitoring has become an integral part By machining, predictive maintenance can be achieved, early warning...
The decay of the 13/2+ isomeric state in 183Hg was observed for first time following α isomer 187Pb produced 142Nd(50Cr, 2p3n) reaction. Using α−γ delayed coincidence measurements, half-life this measured to be 290(30) μs. This is proposed deexcite by an unobserved low-energy M2 transition known 9/2− member a strongly prolate-deformed 7/2−[514] band, followed 105-keV M1 bandhead. A lower limit B(M2) ≥ 0.018 W.u. deduced transition. presumed retardation due notable shape change between...