Jun Wang

ORCID: 0000-0002-5655-6070
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About
Contact & Profiles
Research Areas
  • Textile materials and evaluations
  • Industrial Vision Systems and Defect Detection
  • Vibration and Dynamic Analysis
  • Image Processing Techniques and Applications
  • Metal Forming Simulation Techniques
  • Material Properties and Processing
  • Aerodynamics and Fluid Dynamics Research
  • Advanced SAR Imaging Techniques
  • Color Science and Applications
  • Tribology and Lubrication Engineering
  • Natural Fiber Reinforced Composites
  • Optical measurement and interference techniques
  • Advanced Sensor and Control Systems
  • Radar Systems and Signal Processing
  • Polymer composites and self-healing
  • Metallurgy and Material Forming
  • Structural Analysis and Optimization
  • Synthesis and properties of polymers
  • Simulation and Modeling Applications
  • Epoxy Resin Curing Processes
  • Image and Signal Denoising Methods
  • Image and Object Detection Techniques
  • Color perception and design
  • Hydraulic Fracturing and Reservoir Analysis
  • Advanced Sensor and Energy Harvesting Materials

Donghua University
2016-2025

Jiuquan Iron & Steel (China)
2024

Ministry of Education of the People's Republic of China
2014-2024

Kumoh National Institute of Technology
2024

China Tobacco
2023-2024

Beihang University
2011-2024

Northwest University
2009-2023

Anhui Polytechnic University
2022

Huaiyin Institute of Technology
2021

Liaoning University
2021

Image fusion combines several images of the same scene into a fused image, which contains all important information. Multiscale transform and sparse representation can solve this problem effectively. However, due to limited number dictionary atoms, it is difficult provide an accurate description for image details in representation–based method, needs great deal calculations. In addition, multiscale transform–based low-pass subband coefficients are so hard represent sparsely that they cannot...

10.1117/1.jei.22.4.043019 article EN cc-by Journal of Electronic Imaging 2013-11-19

Developing recyclable and biobased thermosetting polymers is of great significance for environmental protection resource recycling. In this work, three liquid eugenol-based siloxane-containing epoxides (ESI1–3) with different rigid side groups functionalities were synthesized cured by anhydride or amine hardeners. The epoxy resins the hardener (ESI-M) show quite dynamic properties, reprocessability, degradability compared to those (ESI-H). Bifunctional (ESI1 ESI2) anhydrides exhibit...

10.1021/acssuschemeng.4c07201 article EN ACS Sustainable Chemistry & Engineering 2024-11-08

We present a new approach using dictionary learning framework to address textile fabric defect detection. Textile fabrics are textured materials whose images exhibit high periodicity among the repeated sub-patterns determined by weaving structure. Inspired image de-noising learned dictionary, we learn from patches of images, such is able approximate training samples well through linear summation its elements. Fabric defects can be regarded as local anomaly against relatively homogeneous...

10.1080/00405000.2013.836784 article EN Journal of the Textile Institute 2013-09-30

In order to regulate turbulence strength and determine airflow characteristics in a new dual-feed rotor spinning unit, the internal flow field is investigated. A computational fluid dynamics technique employed numerically study three-dimensional model of design. The effects air velocity variation on strength, negative pressure, Re, wall pressure distribution are investigated based simulation data previous studies. results show that Re increased with increase inlet velocity. Pressure profiles...

10.1177/0040517516677230 article EN Textile Research Journal 2016-11-16

Accurate and quick monitoring of an individual's respiration signals plays important role in health disease diagnosis. Electronic fabrics are the best candidates for detecting human through a non-invasive pathway. Inspired by potential attractive applications fiber-shape electronics smart wearable e-textiles, here we developed all-in-one fibrous capacitive humidity sensor. The sensor is prepared using domestic winding fabrication facility sputtering technique. Analysis exact morphology...

10.1177/0040517520944495 article EN Textile Research Journal 2020-07-28

The scope of this study was to investigate the effect blend ratio on structure and properties dual-feed-opening rotor-spun yarn. A variety yarns with different blended ratios were spun from two viscose fibers same but colors. Through digital image processing technology, area occupied by surface cross-section obtained. results showed that 40/60 50/50 had an obvious spacing phenomenon fiber segments surface. yarn not equal value ratio. In cross-section, difference in subtle. little mechanical...

10.1177/00405175231222302 article EN Textile Research Journal 2024-01-12

The emergence of dual-feed-opening (DFO) rotor spinning has garnered notable attention in the area innovative techniques. In this research, we delved into effects angle between two fiber-transfer channels (FTCs) on airflow dynamics, yarn structure, and other properties within a DFO system. Computational fluid dynamics simulation revealed that 110° created an asymmetric airflow, marked by pronounced vortices localized high-pressure zones, which diminished tenacity to ≈11.6 cN/tex increased...

10.1177/00405175241297659 article EN Textile Research Journal 2025-01-31

To improve the quality of hydroentangled nonwoven cotton fiber web and optimize parameters hydroentanglement, hydroentanglement process was simulated using a finite-element method. A established based on fractal principle. In this work, model developed LS-DYNA software. The effects water jet pressure distance thickness were investigated model. relevant experiment designed to verify effectiveness Computer simulations experiments show that higher shorter will decrease thickness. results there...

10.1177/00405175241312408 article EN Textile Research Journal 2025-02-19

The conventional rotor spinning unit generates flow vortices in the transfer channel upstream region which affect fiber configuration and consequently yarn properties. Geometry parameters such as length, inlet width, outlet pressure, opening roller speed, diameter were found to be key influencing airflow characteristics. To reduce upper stream region, modifications of proposed, their fields analyzed using computational fluid dynamics. Three designs studied: a round inlet, bypass for extra...

10.1177/0040517517698985 article EN Textile Research Journal 2017-03-16

Abstract In this study, a kind of novel curing agent composed acrylic acid and 4,4′‐(hexafluoroisopropylidene)bis(p‐phenyleneoxy)dianiline was mixed, with different contents diatomite (CP) particles, into the epoxy resin (E51) to obtain bio‐composites that can be rapidly molded cured at room temperature. Fourier Transform Infrared Spectroscopy Differential Scanning Calorimetry were used study behavior bio‐composites. The influence CP particle dosages on mechanical, including tensile,...

10.1002/pc.26386 article EN Polymer Composites 2021-11-02

In addressing the prevalent challenges associated with limited generalization ability and weak adaptability to small samples observed in neural network models contemporary yarn quality prediction research, this study proposes a two-layer stacking regression model. The initial layer of model integrates three base models: random forest, gradient boosting decision tree, adaptive boosting. secondary employs linear algorithm. efficacy was juxtaposed against performance assessment multilayer...

10.1177/00405175241227633 article EN Textile Research Journal 2024-01-31

Inspired by the image de-noising techniques using learned dictionaries and sparse representation, we present a fabric defect detection scheme via dictionary reconstruction. Fabric defects can be regarded as local anomalies against relatively homogeneous texture background. Following from flexibility of normal samples efficiently represented linear combination few elements dictionary. When modeling new with dictionary, tuned to input data containing structural features, abnormal or defective...

10.1109/icmla.2012.13 article EN 2012-12-01

In fiber processing on a rotor spinning machine, the orientation gained in pre-processing stages like carding and drawing is mainly lost as fibers enter interior for further processing. To improve facilitate blending, new dual-feed unit proposed. We present comprehensive numerical evaluation of airflow dynamics original proposed based finite volume methods. The velocity profiles, pressure distribution, vortices, streamlines, drag force two prototypes are evaluated. Results reveal that...

10.1080/00405000.2017.1305866 article EN Journal of the Textile Institute 2017-03-27

In this paper, a resin with high adhesion, easy curing, good flexibility, and temperature resistance was prepared from polyimide fiber paper. First, in order to improve the toughness curability of impregnating resin, epoxy modified by addition vinyl silicone resin. Subsequently, ternary stability obtained addition. Among investigated conditions, optimal additive amount 30% 5%, respectively. The has better toughness, crosslinking degree, (5% mass loss at 339.2 °C) no obvious glass transition...

10.3390/ma14174909 article EN Materials 2021-08-28

The vortices are generated at the conventional transfer channel, having adverse effects on fiber configuration. In a former research, channel was modified via rounding inlet corner and adding bypass channel. simulation results obtained with showed that were eliminated air velocity increased. We present impact of this modification yarn properties straightness. Four groups samples spun using spinning system. Yarn straightness along rotor groove evaluated. Results revealed tenacities yarns...

10.1080/00405000.2018.1532780 article EN Journal of the Textile Institute 2018-11-07
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