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Article
Publication date: 20 September 2021

Seda Yıldırım

The adoption of digitalization and sustainability is key phenomenon that has changed perception and behaviors of people recently. As there is a rising power of digital…

Abstract

Purpose

The adoption of digitalization and sustainability is key phenomenon that has changed perception and behaviors of people recently. As there is a rising power of digital communication by social media platforms, there is higher interaction between people globally. In addition, consumers can influence each other to adopt new consumption pattern. At this point, this paper aims to examine the role of green women influencers on promoting sustainable consumption patterns via social media platforms.

Design/methodology/approach

This study employed qualitative research method. The study included four top-lists for green/sustainable social media influencers as a sample case. Then, the data were analyzed by descriptive content analysis. To determine the role of green women influencers in sustainable consumption, this study used classification and categorization technique through descriptive content analysis.

Findings

The study indicates that green women are seen as a primary social media influencer because of promoting sustainable consumption patterns in general. Especially, green women have more power to change consumption patterns via digital platforms. Green women social media influencers, who are micro-celebrities, share primary contents such as sustainable fashion, green foods, sustainable travel, sustainable lifestyle, conscious choices, green cosmetics and zero waste life to promote sustainable consumption patterns. Women social media influencers are much more effective than men influencers to transform society's consumption behaviors into sustainable consumption patterns.

Research limitations/implications

The study provides some qualitative findings based on the selected four top-listed green social media influencers by different social media platforms. Future studies can find out different results based on different sample cases and employ quantitative research methodology.

Practical implications

The study suggests policymakers to cooperate with green women social media influencers to achieve sub-targets of 2030 Sustainable Development Goals (SDGs). Especially, it is suggested to cooperate with micro-celebrities or Internet celebrities to promote sustainable consumption patterns.

Originality/value

The study proves that women social media influencers have the essential role in promoting green/sustainable consumption patterns via digital platforms. In addition, green women influencers can guide their followers to adopt sustainable consumption patterns.

Details

Ecofeminism and Climate Change, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2633-4062

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Article
Publication date: 5 February 2021

Yeonghoon Kang, Jihyun Oh and Sungmin Kim

The development of a parametric garment pattern design system that utilizes anthropometric data for consumer-oriented garment pattern design.

Abstract

Purpose

The development of a parametric garment pattern design system that utilizes anthropometric data for consumer-oriented garment pattern design.

Design/methodology/approach

Action list and interactive user interface were developed to design flat garment patterns. Three-dimensional drape simulation was also implemented to verify the fit of patterns.

Findings

Patterns generated by the parametric design system developed in this study could be modified easily by providing appropriate anthropometric data regardless of their complexities.

Practical implications

Parametric pattern design system can reduce considerable amount of time and cost by replacing the trial-and-error based grading processes.

Social implications

Parametric pattern design system can generate customized garment patterns quickly and easily. Therefore, it is expected to contribute to the production of sustainable fashion and textile by reducing the loss of time and resource.

Originality/value

A versatile and comprehensive action list structure was implemented to manage the drawing actions of the user. Various numerical analysis methods were also used to maintain the geometrical validity of patterns.

Details

International Journal of Clothing Science and Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0955-6222

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Article
Publication date: 18 August 2021

Nadim S. Hmeidat, Bailey Brown, Xiu Jia, Natasha Vermaak and Brett Compton

Mechanical anisotropy associated with material extrusion additive manufacturing (AM) complicates the design of complex structures. This study aims to focus on…

Abstract

Purpose

Mechanical anisotropy associated with material extrusion additive manufacturing (AM) complicates the design of complex structures. This study aims to focus on investigating the effects of design choices offered by material extrusion AM – namely, the choice of infill pattern – on the structural performance and optimality of a given optimized topology. Elucidation of these effects provides evidence that using design tools that incorporate anisotropic behavior is necessary for designing truly optimal structures for manufacturing via AM.

Design/methodology/approach

A benchmark topology optimization (TO) problem was solved for compliance minimization of a thick beam in three-point bending and the resulting geometry was printed using fused filament fabrication. The optimized geometry was printed using a variety of infill patterns and the strength, stiffness and failure behavior were analyzed and compared. The bending tests were accompanied by corresponding elastic finite element analyzes (FEA) in ABAQUS. The FEA used the material properties obtained during tensile and shear testing to define orthotropic composite plies and simulate individual printed layers in the physical specimens.

Findings

Experiments showed that stiffness varied by as much as 22% and failure load varied by as much as 426% between structures printed with different infill patterns. The observed failure modes were also highly dependent on infill patterns with failure propagating along with printed interfaces for all infill patterns that were consistent between layers. Elastic FEA using orthotropic composite plies was found to accurately predict the stiffness of printed structures, but a simple maximum stress failure criterion was not sufficient to predict strength. Despite this, FE stress contours proved beneficial in identifying the locations of failure in printed structures.

Originality/value

This study quantifies the effects of infill patterns in printed structures using a classic TO geometry. The results presented to establish a benchmark that can be used to guide the development of emerging manufacturing-oriented TO protocols that incorporate directionally-dependent, process-specific material properties.

Details

Rapid Prototyping Journal, vol. 27 no. 8
Type: Research Article
ISSN: 1355-2546

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Article
Publication date: 16 August 2021

Mohammad Rashidul Hassan, Hyun Woo Jeon, Gayeon Kim and Kijung Park

This study aims to identify the effects of infill patterns and infill percentages on the energy consumption (EC) of fused filament fabrication (FFF). With increasing…

Abstract

Purpose

This study aims to identify the effects of infill patterns and infill percentages on the energy consumption (EC) of fused filament fabrication (FFF). With increasing attention on carbon-fiber-reinforced–poly-ether-ether-ketone (CFR-PEEK) for practical applications in FFF, infill pattern and infill percentage for FFF can be properly controlled to achieve better energy performance of CFR-PEEK outputs. However, the effects of infill parameters on EC for FFF using CFR-PEEK have not been clearly addressed yet.

Design/methodology/approach

Using a full factorial experimental design, six types of infill patterns (rectilinear, grid, triangular, wiggle, fast honeycomb and full honeycomb) and four different infill percentages (25%, 50%, 75% and 100%) were considered for a design of experiments with three replicates. Then, analysis of variance, Tukey test and regression analysis were performed to investigate both the effects of infill pattern and infill percentage on energy performance during FFF.

Findings

EC is characterized to be high for the wiggle and triangular patterns and low for the rectilinear pattern during both the printing stage and the entire process. The wiggle pattern results in the greatest increase in EC, whereas the rectilinear pattern leads to the least increase in EC. Although EC during the FFF process increases as the infill percentage increases, the average power demand during the printing stage decreases.

Originality/value

Both the main and interaction effects of infill pattern and infill percentage are investigated to estimate EC and power during the different process stages of FFF.

Details

Rapid Prototyping Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1355-2546

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Article
Publication date: 10 August 2021

Zi-yan Yu and Tian-jian Luo

Clothing patterns play a dominant role in costume design and have become an important link in the perception of costume art. Conventional clothing patterns design relies…

Abstract

Purpose

Clothing patterns play a dominant role in costume design and have become an important link in the perception of costume art. Conventional clothing patterns design relies on experienced designers. Although the quality of clothing patterns is very high on conventional design, the input time and output amount ratio is relative low for conventional design. In order to break through the bottleneck of conventional clothing patterns design, this paper proposes a novel way based on generative adversarial network (GAN) model for automatic clothing patterns generation, which not only reduces the dependence of experienced designer, but also improve the input-output ratio.

Design/methodology/approach

In view of the fact that clothing patterns have high requirements for global artistic perception and local texture details, this paper improves the conventional GAN model from two aspects: a multi-scales discriminators strategy is introduced to deal with the local texture details; and the self-attention mechanism is introduced to improve the global artistic perception. Therefore, the improved GAN called multi-scales self-attention improved generative adversarial network (MS-SA-GAN) model, which is used for high resolution clothing patterns generation.

Findings

To verify the feasibility and effectiveness of the proposed MS-SA-GAN model, a crawler is designed to acquire standard clothing patterns dataset from Baidu pictures, and a comparative experiment is conducted on our designed clothing patterns dataset. In experiments, we have adjusted different parameters of the proposed MS-SA-GAN model, and compared the global artistic perception and local texture details of the generated clothing patterns.

Originality/value

Experimental results have shown that the clothing patterns generated by the proposed MS-SA-GAN model are superior to the conventional algorithms in some local texture detail indexes. In addition, a group of clothing design professionals is invited to evaluate the global artistic perception through a valence-arousal scale. The scale results have shown that the proposed MS-SA-GAN model achieves a better global art perception.

Details

International Journal of Intelligent Computing and Cybernetics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1756-378X

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Article
Publication date: 26 August 2021

Akemi Ashida

This longitudinal study aims to understand the circumstances of and changes in student enrollment in Honduras by comparing geographically and socioeconomically different…

Abstract

Purpose

This longitudinal study aims to understand the circumstances of and changes in student enrollment in Honduras by comparing geographically and socioeconomically different areas and students' year of school entrance.

Design/methodology/approach

The sample was made up of 4,043 students from seven primary schools in a regional city and the capital city. Students' enrollment patterns, schooling and trajectories from entrance to departure, whether as a result of graduating or dropping out, were examined.

Findings

The number of students who graduated without repetition increased, and most of the students accessed primary education at the official entrance age. However, grade repetitions and dropouts were observed in the regional city in particular, and differences were also found in the school departure age by region. In the regional city, continuation of schooling after a change in residence has become more common in recent years. Adopting an automatic promotion policy could be one strategy for reducing grade repetitions and dropouts; however, further discussion is required to prepare a remedial opportunity for students who might otherwise lack the minimum proficiency level.

Originality/value

Few studies have examined changes in school enrollment in Honduras from a micro perspective. This study contributes a practical approach to exploring educational trends in the region by explaining how students reached their final grades by tracking trajectories, which has not been observed so far in terms of the accumulated average.

Details

International Journal of Comparative Education and Development, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2396-7404

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Article
Publication date: 4 December 2020

Xiaofeng Yao, Jianping Wang, Kaixuan Liu and Shuo Xu

An exact pattern prototype is a prerequisite for female girdle pattern-making. The purpose of this paper is to develop new ways to make girdle pattern prototypes based on…

Abstract

Purpose

An exact pattern prototype is a prerequisite for female girdle pattern-making. The purpose of this paper is to develop new ways to make girdle pattern prototypes based on 3D technology.

Design/methodology/approach

This paper presented two novel methods for creating girdle pattern prototypes. The first one was the girdle's parametric foundation pattern developing method based on 3D geometric modeling. In this method, considering the different characteristics of a female's lower body shape, several models were created to define the relationship between the female's lower body shape and the pattern, such as a side-waist curvature model, an interior-posterior waist-warping model, a buttocks' parametric model and an abdomen parametric model. Then, parameters of drawing the prototype were abstracted to facilitate transforming the 3D geometric model into the 2D pattern. Another method was implemented by 3D virtual modeling and unwrapping. The whole process included surface division, surface reconstruction and surface unwrapping.

Findings

The prototypes created by these two methods were tested using the 3D virtual trying-on examination. Trial tests showed that the patterns can be dressed in the right positions on the virtual model with little pressure. This means that the proportions and shapes of the pattern are correct. The prototypes obtained through the methods proposed in this paper have good effects and high precision. Both methods can be used for making the girdle's foundation pattern.

Originality/value

Two pragmatic approaches of girdle's prototype building have been put forward. The parametric prototype designing method has changed the unconstrained state of free modeling. The pattern structure can be controlled by parameter constraints. In the other method, with 3D scanning and surface modeling technology, personalized girdle's pattern is generated, and the segmentation lines of the girdle can be designed flexibly according to the requirements. These findings also can be used in other tight garments' prototype making.

Details

International Journal of Clothing Science and Technology, vol. 33 no. 4
Type: Research Article
ISSN: 0955-6222

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Article
Publication date: 28 June 2021

Mingyan Zhang, Xu Du, Kerry Rice, Jui-Long Hung and Hao Li

This study aims to propose a learning pattern analysis method which can improve a predictive model’s performance, as well as discover hidden insights into micro-level…

Abstract

Purpose

This study aims to propose a learning pattern analysis method which can improve a predictive model’s performance, as well as discover hidden insights into micro-level learning pattern. Analyzing student’s learning patterns can help instructors understand how their course design or activities shape learning behaviors; depict students’ beliefs about learning and their motivation; and predict learning performance by analyzing individual students’ learning patterns. Although time-series analysis is one of the most feasible predictive methods for learning pattern analysis, literature-indicated current approaches cannot provide holistic insights about learning patterns for personalized intervention. This study identified at-risk students by micro-level learning pattern analysis and detected pattern types, especially at-risk patterns that existed in the case study. The connections among students’ learning patterns, corresponding self-regulated learning (SRL) strategies and learning performance were finally revealed.

Design/methodology/approach

The method used long short-term memory (LSTM)-encoder to process micro-level behavioral patterns for feature extraction and compression, thus the students’ behavior pattern information were saved into encoded series. The encoded time-series data were then used for pattern analysis and performance prediction. Time series clustering were performed to interpret the unique strength of proposed method.

Findings

Successful students showed consistent participation levels and balanced behavioral frequency distributions. The successful students also adjusted learning behaviors to meet with course requirements accordingly. The three at-risk patten types showed the low-engagement (R1) the low-interaction (R2) and the non-persistent characteristics (R3). Successful students showed more complete SRL strategies than failed students. Political Science had higher at-risk chances in all three at-risk types. Computer Science, Earth Science and Economics showed higher chances of having R3 students.

Research limitations/implications

The study identified multiple learning patterns which can lead to the at-risk situation. However, more studies are needed to validate whether the same at-risk types can be found in other educational settings. In addition, this case study found the distributions of at-risk types were vary in different subjects. The relationship between subjects and at-risk types is worth further investigation.

Originality/value

This study found the proposed method can effectively extract micro-level behavioral information to generate better prediction outcomes and depict student’s SRL learning strategies in online learning. The authors confirm that the research in their work is original, and that all the data given in the paper are real and authentic. The study has not been submitted to peer review and not has been accepted for publishing in another journal.

Details

Information Discovery and Delivery, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-6247

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Article
Publication date: 28 April 2020

Hyunjung Han, Hyunsook Han and Taehoon Kim

The purpose of this paper is to propose the swimsuit patternmaking method suitable for the body shapes of middle-aged women and to propose the swimsuit pattern development…

Abstract

Purpose

The purpose of this paper is to propose the swimsuit patternmaking method suitable for the body shapes of middle-aged women and to propose the swimsuit pattern development procedures that enable automated swimsuit patternmaking.

Design/methodology/approach

To propose the patternmaking method of the swimsuit, which is suitable for the body shape of middle-aged women, the swimsuit patterns were developed in three stages in this study. The measurements of the middle-aged woman body model were compared with the size of the developed pattern in each stage, and the optimal stretch rate of the fabric was defined. In total, 22 items were used for size analysis of developed patterns in each stage.

Findings

The swimsuit patternmaking method proposed in this study was derived by considering the body shapes of middle-aged women, desired design and fabric characteristics. Also, a series of processes, including obtaining a raw pattern from the surface of the three-dimensional (3D) human body, designing patterns by the expert, evaluating patterns, drafting the final pattern and the final patternmaking method, was presented.

Practical implications

This study has great significance to provide a manual of swimsuit patternmaking for middle-aged women, which has high tightness and movement compatibility.

Originality/value

The swimsuit patternmaking method proposed in this study is relatively simple because it is based on the human body measurements and delivers the lines and the calculated values clearly and objectively rather than the patterner's intuition does so that it is suitable for the automation of the swimsuit patternmaking for the middle-aged women.

Details

International Journal of Clothing Science and Technology, vol. 32 no. 5
Type: Research Article
ISSN: 0955-6222

Keywords

Content available
Article
Publication date: 22 July 2021

Susan Erica Nace, John Tiernan, Donal Holland and Aisling Ni Annaidh

Most support surfaces in comfort applications and sporting equipment are made from pressure-relieving foam such as viscoelastic polyurethane. However, for some users, foam…

Abstract

Purpose

Most support surfaces in comfort applications and sporting equipment are made from pressure-relieving foam such as viscoelastic polyurethane. However, for some users, foam is not the best material as it acts as a thermal insulator and it may not offer adequate postural support. The additive manufacturing of such surfaces and equipment may alleviate these issues, but material and design investigation is needed to optimize the printing parameters for use in pressure relief applications. This study aims to assess the ability of an additive manufactured flexible polymer to perform similarly to a viscoelastic foam for use in comfort applications.

Design/methodology/approach

Three-dimensional (3D) printed samples of thermoplastic polyurethane (TPU) are tested in uniaxial compression with four different infill patterns and varying infill percentage. The behaviours of the samples are compared to a viscoelastic polyurethane foam used in various comfort applications.

Findings

Results indicate that TPU experiences an increase in strength with an increasing infill percentage. Findings from the study suggest that infill pattern impacts the compressive response of 3D printed material, with two-dimensional patterns inducing an elasto-plastic buckling of the cell walls in TPU depending on infill percentage. Such buckling may not be a beneficial property for comfort applications. Based on the results, the authors suggest printing from TPU with a low-density 3D infill, such as 5% gyroid.

Originality/value

Several common infill patterns are characterised in compression in this work, suggesting the importance of infill choices when 3D printing end-use products and design for manufacturing.

Details

Rapid Prototyping Journal, vol. 27 no. 11
Type: Research Article
ISSN: 1355-2546

Keywords

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