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Clothing and Textiles Research Journal
Journal Prestige (SJR): 0.36  Citation Impact (citeScore): 1 Number of Followers: 14  Hybrid journal (It can contain Open Access articles)ISSN (Print) 0887-302X - ISSN (Online) 1940-2473 Published by Sage Publications  [1176 journals]
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- New Filaments from Used Disposable Face Masks as an Alternative 3D
Printing Filament in the 3D Printing Industry-
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Authors: Changhyun (Lyon) Nam, Hoyong Chung, Jessica L. Ridgway
Abstract: Clothing and Textiles Research Journal, Ahead of Print.
This study aimed to examine an innovative approach for recycling and repurposing used disposable face masks to create a new 3D printing filament and to compare the mechanical properties of the developed 3D printing filament (DF) with recycled filament (RF) and commercial filament (CF). The development of the new 3D printing filaments involved examining three key pieces of information: (1) optimal melting point ranges, (2) weight, and (3) visual colors for each layer of the face mask. Using an experimental research design, the researchers melted-down disposable face masks to create the filament and analyzed its properties in comparison with RF and CF. No significant differences were identified in terms of strength among CF, RF, and DF types. The findings highlight the potential effectiveness of using disposable face masks as an alternative 3D printing material, contributing to the design and production in the 3D printing industry.
Citation: Clothing and Textiles Research Journal
PubDate: 2024-07-21T02:19:03Z
DOI: 10.1177/0887302X241264484
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- Building Three-dimensional Virtual Historic Fashion Museum Exhibitions:
From the Perspective of Technology Affordances-
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Authors: Ju-Young M. Kang, Shu Hwa Lin
Abstract: Clothing and Textiles Research Journal, Ahead of Print.
Museums are currently undertaking the task of digital transformation. Transformational technology generates revitalization of the curatorship, cultural heritage presentation, management model, and traditional roles of museums. The creation of three-dimensional (3D) virtual museum exhibitions is important to fulfill the revolutionary operational requirements and projections of recent museums through digital transformation. The objectives of this project were to (1) create realistic 3D virtual museum exhibitions accessible from the web, focusing on historic fashions, and (2) provide an analysis of the process and resources for creating 3D virtual museum exhibitions featuring object-focused exhibits. As a theoretical background of this project, the theory of technology affordances and the affordance actualization process were applied in the creation of 3D virtual museum exhibitions. The results of this project provide cultural heritage museums and institutions with useful precedents for the development of 3D virtual historic fashion museum exhibitions.
Citation: Clothing and Textiles Research Journal
PubDate: 2024-06-06T12:44:55Z
DOI: 10.1177/0887302X241257714
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- Mathematical Model to Upcycle End-of-Roll Leftover Fabrics in Apparel
Manufacturing-
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Authors: Ali Iseri, Recep Kizilaslan
Abstract: Clothing and Textiles Research Journal, Ahead of Print.
This study addresses the problem of end-of-roll leftover fabrics originating after the production of baby/child apparel. The ineffective management of these leftovers results in excess inventory, occupies storage space, and imposes economic and environmental loads. To address this challenge, a novel mathematical modeling approach is proposed. The model maximizes the upcycling of leftovers by incorporating these into the manufacturing of garments while adhering to marketing, production, and ordering constraints. This model also introduces the feasibility of ordering new fabrics with a penalty, as defined by the decision makers, to increase utilization. The model was tested using actual end-of-roll leftover data. The upcycling utilization of leftovers was calculated to be between 57% and 87%. Notably, at an upcycling rate of 58%, 96% of the utilized fabrics were sourced from leftovers. The case study results validate the model efficacy and provide insights into leftover-fabric management.
Citation: Clothing and Textiles Research Journal
PubDate: 2024-06-05T06:01:16Z
DOI: 10.1177/0887302X241258418
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- An Exploratory Study of Body Measurement Prediction Using Machine Learning
and 3D Body Scans-
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Authors: Yingying Wu, Xuebo Liu, Kristen D. Morris, Shufang Lu, Hongyu Wu
Abstract: Clothing and Textiles Research Journal, Ahead of Print.
Obtaining accurate body measurements is a critical step when designing products to fit the human body. Compared to traditional manual methods, 3D body scanning has fundamentally enhanced the accessibility of the body, however, the datasets extracted from 3D body scans often have missing values. Recently, the applications of data-driven machine learning (ML) methods in anthropometrics studies and clothing-related work have been increasing. However, there has been limited research on exploring if missing data and difficult-to-extract measurements from 3D scans could be predicted accurately and efficiently by using ML methods. Therefore, this exploratory study investigates the potential use of four mainstream ML methods in improving the usefulness of a 3D body scan dataset.
Citation: Clothing and Textiles Research Journal
PubDate: 2024-06-05T05:52:51Z
DOI: 10.1177/0887302X241257914
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- Color Hearing: Creating a Body of Creative Design Scholarship Using
Psychomimicry-
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Authors: Jessica L. Ridgway
Abstract: Clothing and Textiles Research Journal, Ahead of Print.
This study examined the use of psychomimicry in the apparel design process by exploring a series of three garments entitled, Color Hearing. The designer delineates the iterative design process, explains the design challenges, and expands on what is known by implementing a new technique of coding music to create textile print designs. The designer used a four-stage design process for each of the three garments included in this study. The important contributions of this study include the novel approach of using psychomimicry as a design influence and the establishment of a coding process to generate textile print designs based on the neurological phenomena of synesthesia.
Citation: Clothing and Textiles Research Journal
PubDate: 2024-05-16T05:29:51Z
DOI: 10.1177/0887302X241254787
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- “It's Not Just About the Outfits”: Fashioning Gender, Race,
and Class on #RushTok-
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Authors: Maureen Lehto Brewster
Abstract: Clothing and Textiles Research Journal, Ahead of Print.
This manuscript analyzes outfit of the day (OOTD) content on TikTok to consider how the style-fashion-dress and social media practices in the digital sociality known as “RushTok” (re)produce gender, race, and class norms in Panhellenic sororities. I used feminist virtual ethnography to explore 97 OOTD videos produced during the 2022 Panhellenic sorority recruitment cycle. I followed the concept of the sorority girl around this data to map her emergence and effects in the RushTok sociality. I find that RushTok OOTDs remediate practices from traditional fashion media, and that the style-fashion-dress practices in this sociality emphasize luxury branding, highly feminine but conservative styles, and bodily discipline. These are (re)shaped by spatial and algorithmic logics, which privilege enactments of the sorority girl that (re)produce the White, wealthy, cisfeminine ideal. The logics of Panhellenic sororities intra-act with the TikTok algorithm to make this idealized sorority girl more visible, further (re)producing hierarchies of difference.
Citation: Clothing and Textiles Research Journal
PubDate: 2024-04-03T07:35:48Z
DOI: 10.1177/0887302X241244789
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- Natural Dyes in the United States: An Exploration of Natural Dye Use
Through the Lens of the Circuit of Style-Fashion-Dress-
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Authors: Kelsie Doty, Denise Nicole Green, Sherry Haar
Abstract: Clothing and Textiles Research Journal, Ahead of Print.
In this article, we explore the world of natural dye use in the United States through the circuit of style-fashion-dress. To examine this phenomenon, we incorporated interviews, surveys, participant observation, fieldwork, and film production into our data collection. We found that fashion labels must deal with color inconsistencies from natural dyes due to variable growing conditions for plants, water quality, and manufacturing setups. This has led to scientific and agricultural innovations by companies to mitigate variabilities in processed natural dyestuff. We also found that production dyers have established ways to educate their clients about the realities of using natural colorants. Lastly, our participants communicated a belief that natural dyes are an environmentally sustainable alternative to synthetics; however, the major challenge is that natural dyes currently do not meet the demands of the fashion industry.
Citation: Clothing and Textiles Research Journal
PubDate: 2024-02-02T05:13:47Z
DOI: 10.1177/0887302X241229222
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- Exploring Shopper Psychographic Characteristics From a Human Ecosystem
Perspective: A Proposed Typology of Millennial Luxury Consumers-
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Authors: Kelcie Slaton, Jessica Hurst, Linda Niehm
Abstract: Clothing and Textiles Research Journal, Ahead of Print.
An enhanced understanding of millennial luxury consumers is needed for luxury retailers to develop loyalty strategies and foster business success. Guided by the human ecosystem framework, the objective of this research was to classify millennial luxury consumers into a shopper typology based on shopper psychographic characteristics to provide an understanding of their shopping motivations and behaviors regarding luxury goods. Two studies were conducted. Semistructured interviews of millennial luxury consumers in Study 1, analyzed through interpretive analysis, resulted in 11 major themes or shopper psychographic characteristics. An online survey to a larger sample of millennial luxury consumers in Study 2 was then employed. Reliability and validity testing confirmed the 11 psychographic characteristics and latent profile analyses revealed a four-class shopper typology. Findings provide retail industry executives with in-depth information on customer profiles which includes shopping and product preferences, motivations, and customer expectations that was previously absent in the literature.
Citation: Clothing and Textiles Research Journal
PubDate: 2024-01-16T01:55:59Z
DOI: 10.1177/0887302X231225122
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- Exploring Women's Perception of High Metabolic Clothing
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Authors: Lindsay D’Arcy, Mike Fray, Jo Barnes, Susan M. Watkins
Abstract: Clothing and Textiles Research Journal, Ahead of Print.
This study presents the first exploratory inquiry into women's perception of High Metabolic Clothing (HMC) that could aid in weight loss and/or muscle maintenance/gain. A mixed methods study was conducted combining an online survey (n = 502) and interviews (n = 30). A composite variable combining BMI and exercise engagement was used to group and compare participants for data analysis. Quantitative data were analyzed using descriptive statistics and qualitative data were analyzed using thematic analysis and content analysis guided by the FEA (functional, expressive, and aesthetic) Consumer Needs Model. Results revealed that 83.5% of survey respondents were interested in wearing HMC; high BMI non-exercisers were identified as the biggest market for HMC. Four future directions were identified for HMC to address a range of user needs. Clothing that resisted movement was perceived as acceptable providing HMC helped a wearer to achieve their goals and the design adhered to consumers’ aesthetic needs and societal clothing norms.
Citation: Clothing and Textiles Research Journal
PubDate: 2024-01-12T07:27:46Z
DOI: 10.1177/0887302X231225471
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