A5020539567- Advanced machining processes and optimization
- Advanced Surface Polishing Techniques
- Injection Molding Process and Properties
- Image Processing Techniques and Applications
- Advanced Measurement and Metrology Techniques
- Additive Manufacturing and 3D Printing Technologies
- Optical measurement and interference techniques
- Manufacturing Process and Optimization
- Nanofabrication and Lithography Techniques
- Advanced ceramic materials synthesis
- Industrial Vision Systems and Defect Detection
- 3D Printing in Biomedical Research
- Piezoelectric Actuators and Control
- Laser Material Processing Techniques
- Dental materials and restorations
- Surface Roughness and Optical Measurements
- Advanced materials and composites
- Advanced Machining and Optimization Techniques
- Dental Erosion and Treatment
- Metal and Thin Film Mechanics
- Image and Object Detection Techniques
- Advanced optical system design
- Erosion and Abrasive Machining
- Bone and Dental Protein Studies
- Dyeing and Modifying Textile Fibers
Tianjin University
2015-2024
Ibaraki University
2004-2009
Hitachi (Japan)
2009
Abstract In modern industry, the surface defect inspection of injection moulded products is crucial for controlling product quality and optimizing manufacturing process. With development optical measurement computer technology, machine vision methods have been widely adopted instead manual inspection. However, current are difficult to simultaneously ensure accuracy efficiency products. Considering this problem, a novel deep learning algorithm applied defects proposed. To train evaluate...
Microplastic parts are usually fabricated by microinjection molding (µIM) which is an effective and low cost method. But the defects, such as short shot, often appear during fabricating plastic with high aspect ratio structures or complex shapes. a longitudinal ultrasonic-assisted (LUµIM) method effectively improve quality. In paper, mechanism that ultrasonic vibration impacts on polymer melt investigated. Considering from point view of energy effect, mechanical transmission, conversion,...
Freeform spectacle lenses have been popularized in the past few years. Traditional evaluation methods only focused on refractive power parameters. The inspection technology of wavefront aberration has introduced to optometry. In this paper, is used evaluate freeform lenses. Shack-Hartmann measure same zones with different designed forms. It shows that distributions are from each other. design surface back can obtain smallest aberrations entire surface. for lens analyzed. blending show...
An ultrasound-assisted micro-injection molding method is proposed to improve the rheological behavior of polymer melt radically, and a system based on longitudinal ultrasonic vibration core developed employed in process Fresnel lenses. The verification experiments show that filling mold area increased by 6.08% 19.12%, symmetric deviation lens improved 15.62% average. This performance replication quality injection effectively.
Abstract Demolding is the key step of micro‐injection molding (μIM), which influences quality polymer parts to a great extent. The essence demolding overcome interface interactions between mold cavity surface and part surface, closely related factors such as topography process parameters. However, theoretical model predicting force μIM still lacking, resulting in difficulty improving μIM. Therefore, comprehensive proposed clarify mechanism focuses on adhesion behavior friction special...
A polymeric micro-needle array with high quality has been fabricated using a longitudinal ultrasonic-assisted micro-injection molding (LUμIM) method. To realize the practicability and stability in actual industrial processing, this paper is aimed at studying improvement mechanism of ultrasonic vibration on quality. The melt-filling process cavity simulated, effect discussed. enhancement material properties polypropylene polymethylmethacrylate parts are experimentally investigated. results...
Prediction tasks over pixels in hyperspectral images (HSI) require careful effort to engineer the features used for learning a classifier. However, generated classification map may suffer from an over-smoothing problem, which is manifested significant differences original image terms of object boundaries and details. To address this we designed method extracting spectral–spatial-band-correlation (SSBC) features. In SSBC features, joint spectral–spatial feature extraction considered discrete...