Can 3D Virtual Prototype Conquer the Apparel Industry?

Papahristou, Evridiki

doi:10.4172/2329-9568.1000134

Cited by 15 publications

(26 citation statements)

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“…Despite the availability of digital design software systems (e.g. Gerber) and emergence of latest 3D technologies for virtual prototyping (Papahristou and Bilalis, 2016), the complexity of different kinds of materials -how it moves, behaves with other materials, responds to finishes and cuts, allied to the extreme variety of the human body, has prevented the widespread adoption of standards and codes to organize and communicate over the measuring, cutting, and assembling apparel. The resulting lack of standardization means that skills and knowledge in fashion production are largely learnt and transferred through observation and practice.…”

Section: Narrowing Logicmentioning

confidence: 99%

Modelling environmental value: An examination of sustainable business models within the fashion industry

Pal

Gander

2018

Journal of Cleaner Production

202

117

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Section: Narrowing Logicmentioning

confidence: 99%

Modelling environmental value: An examination of sustainable business models within the fashion industry

Pal

Gander

2018

Journal of Cleaner Production

202

117

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“…Digital prototypes in the textile and clothing industry are part of the technology adoption in the product development process, a process that involves various operators in different stages and places, with various skills and competencies and different necessities of formalising and defining in a deterministic way the result of their activities [1]. Taking into account the recent trends in the industry, the product development cycle and the use of new digital technologies cannot be restricted in the "typical cycle", but additional tools and skills require integration for these developments to be taken into account [2].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of Open-Source and Licensed CAD Software to Support Garment Development Learning

2019

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Most universities have included computer-aided design (CAD) pattern making systems education and training in their clothing technology courses in recent years, so as to respond to the actual needs of the fashion world for high-skilled fashion designers and clothing engineers. With the rapid rise in the use of open source software (OSS) in all types of applications, it is important to know if the existing OSS CAD software for garment prototyping development can successfully support the learning process. The present study compares two commercial licensed CAD systems for pattern design (Polypattern and Create) to an open source software, Seamly2D, and to Wild Ginger’s Caveo V6 programme, which runs within an OSS. In total, two licensed and two OSS systems have been evaluated in their weights in accomplishing the garment development of ten different pattern designs. The results obtained for the evaluation of a set of OS and licensed CAD systems are presented and critically discussed.

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“…[1] Garment sampling is a costly process for the apparel industry and it is here that 3D technologies have had the greatest impact by allowing test garments to be virtually sewn and fit, saving both person-hours and materials in the process. [2] While this has advanced apparel digitization, it has also highlighted inherent flaws within pattern-engineering theory. The need to correct garment fit post pattern construction speaks to a lack of direct relationship between anthropometry and pattern.…”

Section: Introductionmentioning

confidence: 99%

“…[5] Regardless of the realism displayed on a monitor, the problems with real-world garment fit remain unchanged by the technologies designed to improve them. [2] The need for a direct relationship between anthropometry and garment pattern has become critical. Apparel digitization depends upon a clear pattern-to-person relationship and customer insistence on body shape inclusive-sizing necessitates it.…”

Section: Introductionmentioning

confidence: 99%

Novel Methods to Drive Pattern Engineering through and for Enhanced Use of 3D Technologies

Scott¹,

Gill²,

Mcdonald³

2019

Proceedings of 3DBODY.TECH 2019 - 10th International Conference and Exhibition on 3D Body Scanning and Processing Technologies,

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Key obstacles to apparel digitization, frequently and symptomatically observed as limitations within 3D technologies, can be summarized as a lack of theory to quantify body shape and garment ease. Whether discussing garment fit on parametric avatars, automated virtual garment design, mass garment customization, improved garment sizing, or accurate size prediction, apparel digitization has repeatedly been hindered by a lack of theory linking the garment and its shaping requirements to the human form. This is because neither 1D (tape measure) dimensions nor a 3D flattened polygon mesh can quantify body shape with respect to developing garment patterns conducive to apparel manufacturing. While novel pattern-engineering theory offers body-to-pattern guidance to isolate ease and body shape dimensions, acquiring the required measurements (outside the scope of both ISO boundaries and current measurement extraction software) has proven prohibitive. To prove scan-to-pattern digital viability a study explored the potential for updated measurement extraction software to access underutilized body scan data to drive Clone Block® body-to-pattern theory. Solidworks 3D software was used to manually extract measurements from a body scan and Intelligent Shaping® software was used for automated Clone Block® pattern development. The suitability of the measurements for supporting body-to-pattern theory was then tested based on the ability of the resulting pattern to hug body morphology while maintaining horizontal and vertical fabric grain. The results of the study indicate automated measurement acquisition to drive Clone Block® shaping methodologies for scan-to-pattern automation is feasible. Based on the premise that garment fit is the result of fit-reality (body shape) plus fit-preference (ease), this study is significant in offering a means by which underutilized scanned body data may be accessed to quantify body shape and ease. Further study should confirm that updated measurement extraction software can automate the retrieval of measurement data and the Clone Block® scan-to-pattern methods (used extensively in a bespoke environment) work on an extended range of body shapes including bodies with dysmorphia. Discussions surrounding ease distribution for body shape should also be studied for foundational mathematical fit-preference and ease theory.

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Can 3D Virtual Prototype Conquer the Apparel Industry?

Cited by 15 publications

References 0 publications

Modelling environmental value: An examination of sustainable business models within the fashion industry

Modelling environmental value: An examination of sustainable business models within the fashion industry

A Comparative Study of Open-Source and Licensed CAD Software to Support Garment Development Learning

Novel Methods to Drive Pattern Engineering through and for Enhanced Use of 3D Technologies

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