A5082348180- Industrial Vision Systems and Defect Detection
- Heat Transfer and Optimization
- Textile materials and evaluations
- Radiative Heat Transfer Studies
- Fluid Dynamics and Turbulent Flows
- Nanofluid Flow and Heat Transfer
- Polymer Foaming and Composites
- Heat Transfer Mechanisms
- Heat Transfer and Boiling Studies
- Color Science and Applications
- Ultrasonics and Acoustic Wave Propagation
- Thermography and Photoacoustic Techniques
- Dyeing and Modifying Textile Fibers
- Refrigeration and Air Conditioning Technologies
- Heat and Mass Transfer in Porous Media
Zhejiang Sci-Tech University
2019-2025
Zhejiang Institute of Modern Textile Industry
2023
Institute of Engineering Thermophysics
2011
Chinese Academy of Sciences
2011
Thermography is widely used to detect delamination defects in carbon fiber reinforced plastics (CFRP). This paper proposes a model automatically by extracting the thermal signal characteristics of CFRP materials. An optically excited thermography system constructed for pulsed and lock-in experiments compare data sets different excitation modes. A multi-task joint loss function defined train defect detection depth prediction. The effects attention modules (AM) are analyzed improve...
For improving the heat dissipation of sink, a porous lattice structure under jet impingement was developed and its flow transfer properties were investigated via simulation experiments. The effects height (4–12 mm), porosity (0.52–0.92) velocity (1–4 m s-1) on characteristics investigated. Results show that for given inlet velocity, as decrease porosity, is increased, well pressure drop or pump power. low power case, higher such 0.82 will be helpful transfer, but lower high instance. As...
In industrial applications where device capacity, computational performance, and thermal management are limited, we propose the YOLOvT-Light model for fabric defect detection. This incorporates convolutional block attention module (CBAM)-EfficientNet backbone network, balancing detection speed precision while significantly reducing complexity maintaining high precision. GhostConv replaces standard convolution in neck section, effectively parameters cost through simple linear transformations....
To improve the efficiency of hydrogen-producing microreactors with non-uniform pin-fin array, influence pin diameter degressive gradient array (NPFA) on heat transfer and pressure drop characteristics is analyzed in this study via numerical simulation under low Reynolds number conditions. Because correlations prior studies cannot be used to predict Nusselt NPFA, new friction factor are developed paper account for effect gradient, providing a method optimized design microreactor NPFA. The...
The annular nozzle is an important part of the dyeing machine as its impact and traction performance directly affect quality efficiency dyeing. gap forms core nozzle. In this paper, differences between six nozzles with different shapes were analyzed under various conditions using numerical simulation. results indicate that cone straight more stable than other conditions. To further enhance nozzle, a multi-objective optimization structure was performed backpropagation neural network...