Numerical Simulation and Analysis of Airflow in the Condensing Zone of Compact Spinning with Lattice Apron

Date Added: 2022-09-05
Date Added: 2022-09-05

Experimental and Modelling Studies on Thermal Insulation and Sound Absorption Properties of Cross-Laid Nonwoven Fabrics

Date Added: 2022-09-05
Date Added: 2022-09-05

Comfort-Related Properties of Double-Layered Woven Car Seat Fabrics

Date Added: 2022-09-05
Date Added: 2022-09-05

Investigation of Heat Transfer in Seersucker Woven Fabrics using Thermographic Method

Date Added: 2022-09-05
Date Added: 2022-09-05

Prediction of Standard Time of the Sewing Process using a Support Vector Machine with Particle Swarm Optimization

Date Added: 2022-09-05
Date Added: 2022-09-05

Simulations of Heat Transfer through Multilayer Protective Clothing Exposed to Flame

Date Added: 2022-09-05
Date Added: 2022-09-05

An Integrated Lean Six Sigma Approach to Modeling and Simulation: A Case Study from Clothing SME

Date Added: 2022-09-05
Date Added: 2022-09-05

Application of Plasticized Cellulose Triacetate Membranes for Recovery and Separation of Cerium(III) and Lanthanum(III)

Date Added: 2022-09-05
Date Added: 2022-09-05

Analysis of Mechanical Behavior of Different Needle Tip Shapes During Puncture of Carbon Fiber Fabric

Date Added: 2022-09-05
Date Added: 2022-09-05

Determination of State Variables in Textile Composite with Membrane During Complex Heat and Moisture Transport

Ryszard Korycki

The cotton-based composite is equipped with a single/double semipermeable membrane made of polyurethane (PU) (100%), which blocks liquid transport to the surrounding environment. The complex problem analyzed involves the coupled transport of water vapor within the textile material, transport of liquid water in capillaries, as well as heat transport with vapor and liquid water. The problem can be described using the mass transport equation for water vapor, heat transport equation, and mass transport equation for liquid moisture, accompanied by the set of corresponding boundary and initial conditions. State variables are determined using a complex multistage solution procedure within the selected points for each layer. The distributions of state variables are determined for different configurations of membranes.

Korycki,R.(2022).Determination of State Variables in Textile Composite with Membrane During Complex Heat and Moisture Transport. Autex Research Journal,22(3) 328-334. https://doi.org/10.2478/aut-2020-0011

 

Date Added: 2022-09-05
Date Added: 2022-09-05

A Novel Foam Coating Approach to Produce Abrasive Structures on Textiles

Date Added: 2022-09-05
Date Added: 2022-09-05

Biological Properties of Knitted Fabrics Used in Post-Burn Scar Rehabilitation

Date Added: 2022-09-05
Date Added: 2022-09-05

3D Body Scan as Anthropometric Tool for Individualized Prosthetic Socks

Date Added: 2022-09-05
Date Added: 2022-09-05

Microscopic Analysis of Activated Sludge in Industrial Textile Wastewater Treatment Plant

Date Added: 2022-09-05
Date Added: 2022-09-05

Consumer Adoption of Fast-Fashion, Differences of Perceptions, and the Role of Motivations Across the Adoption Groups

Nazan Okur

The purpose of this study was to determine the adoption groups of the fast-fashion consumers, evaluate the consumers’ perceptions of the fast-fashion in different groups, and model the role of “social or status image”, “uniqueness”, and “conformity” on the level of fast-fashion consumer adoption. The consumer adoption groups were determined as “innovators”, “early adopters”, “early majority”, “late majority”, and “laggards” by using a domain-specific innovativeness (DSI) scale. Consumers’ perceptions of fast-fashion were evaluated from cognitive and emotional aspects and the differences across the consumer groups were investigated by using Kruskal-–Wallis test and Mann-–Whitney U test. The roles of “social or status image”, “uniqueness”, and “conformity” on consumer groups were modeled by using ordinal logistic regression analysis. As a result of the research, consumers’ perceptions of fast-fashion were found to vary across different consumer adoption groups in terms of “being in-style products”, “expressing self-image”, “imitating the luxury fashion products”, and “frequent renewal of the collections”. Further, the findings revealed that the probabilistic relationship between different levels of consumer adoption based on innovativeness could be modeled based on the motivations of “social or status image” and “uniqueness”.

Okur,N.(2022).Consumer Adoption of Fast-Fashion, Differences of Perceptions, and the Role of Motivations Across the Adoption Groups. Autex Research Journal,22(3) 365-372. https://doi.org/10.2478/aut-2021-0024

Date Added: 2022-09-05
Date Added: 2022-09-05
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