Huafeng Quan

ORCID: 0000-0002-4418-6615
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About
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Research Areas
  • Advanced ceramic materials synthesis
  • Surface Modification and Superhydrophobicity
  • Aluminum Alloys Composites Properties
  • Advanced Sensor and Energy Harvesting Materials
  • Fiber-reinforced polymer composites
  • Mechanical Behavior of Composites
  • Color perception and design
  • MXene and MAX Phase Materials
  • Digital Media and Visual Art
  • Aerogels and thermal insulation
  • Tribology and Wear Analysis
  • Graphene research and applications
  • Boron and Carbon Nanomaterials Research
  • Thermal properties of materials
  • High-Temperature Coating Behaviors
  • Magnetic Properties and Applications
  • Diamond and Carbon-based Materials Research
  • Solar Thermal and Photovoltaic Systems
  • Gas Dynamics and Kinetic Theory
  • Dielectric materials and actuators
  • Sensory Analysis and Statistical Methods
  • Natural Fiber Reinforced Composites
  • Thermal and Kinetic Analysis
  • Catalytic Processes in Materials Science
  • Electrohydrodynamics and Fluid Dynamics

Hunan University
2023-2024

Guizhou University of Finance and Economics
2023-2024

Beihang University
2020-2022

Xiangtan University
2016

As living standards improve, modern products need to meet increasingly diversified and personalized user requirements. Traditional product design methods fall short due their strong subjectivity, limited survey scope, lack of real-time data, poor visual display. However, recent progress in big data artificial intelligence (AI) are bringing a transformative AI-driven methodology with significant impact on many industries. Big the lifecycle contains valuable information, such as customer...

10.3390/app13169433 article EN cc-by Applied Sciences 2023-08-20

Abstract As living standards improve, modern products need to meet increasingly diversified and personalized user requirements. Traditional product design methods fall short due their strong subjectivity, limited survey scope, lack of real-time data, poor visual display. However, recent progress in big data artificial intelligence (AI) are bringing a transformative AI driven methodology with significant impact on many industries. Big the lifecycle contains valuable information, such as...

10.21203/rs.3.rs-2899904/v1 preprint EN cc-by Research Square (Research Square) 2023-05-15

Red sour soup (RSS) is a traditional food with rich cultural connotations and nutritional value, unique to the Kaili region of Guizhou Province, China. However, existing packaging design lacks characteristics visual appeal, which greatly limits its market potential. This study proposes systematic research framework for RSS by integrating NLP, Kansei engineering, semiotics. First, we mined consumers’ dual requirements analyzing online reviews from e-commerce tourism platforms using NLP LDA....

10.3390/foods13233806 article EN cc-by Foods 2024-11-26

Abstract Advanced aerogels hold immense potential in thermal insulation. However, achieving high environmental adaptability aerogel insulators with elasticity, hydrophobicity, flame‐retardancy, and low temperature tolerance remains a significant challenge. Inspired by “brick‐mortar‐binder” biomimetic texture, layered double hydroxide/carboxylated cellulose nanofibers/Si–O–Si (LCS) hybrid is developed bottom‐up freeze‐drying. Owing to the distinct building blocks organized structure,...

10.1002/advs.202410938 article EN cc-by Advanced Science 2024-11-29
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