Digital Twins and E-Libraries Enhance Garment Fit and Sustainability

Why It Matters

This approach moves beyond traditional pattern making by leveraging digital tools to simulate fit and incorporate diverse body data. It allows for a more data-driven and customer-centric design process, leading to better product outcomes and reduced waste.

Key Finding

By using digital models of people and virtual tools to test clothing fit, combined with vast online libraries of body data and trends, designers can create clothes that fit better, are more personalized, and reduce waste from physical samples.

Key Findings

• Digital human modeling (DHM) provides precise virtual representation of human bodies with integrated anthropometric and ergonomic data.
• Virtual modeling for fit sizing enhances the shopping experience by offering insights for tailored clothing choices.
• E-library resources enable data-driven design by providing information on body-size diversity, trends, and customer preferences.
• Integration of these digital tools reduces reliance on physical prototypes, improving efficiency and environmental responsibility.
• A mobile application was developed to present the best-suited garment for users based on integrated digital information.

Research Evidence

Aim: How can the integration of digital human modeling, virtual fit sizing, ergonomic body-size data, and e-library resources revolutionize garment design and production for improved fit, comfort, personalization, and sustainability?

Method: Mixed-methods research, including system development and potentially user testing.

Procedure: The study developed a mobile application that integrates with a cloud database containing digital human modeling data, virtual fit simulation capabilities, ergonomic body-size information, and fashion trend data from e-libraries to recommend the best-suited garments for users.

Context: Garment industry, fashion design and production, e-commerce.

Design Principle

Leverage digital simulation and data integration to achieve personalized product fit and optimize resource utilization in product development.

How to Apply

Invest in or develop digital human modeling software and integrate it with a database of diverse body scan data and fashion trend information to create virtual prototypes for fit testing before physical production.

Limitations

The effectiveness of the system relies on the accuracy and comprehensiveness of the anthropometric and e-library data. User adoption of the mobile application and the precision of the digital human models are also critical factors.

Student Guide (IB Design Technology)

Simple Explanation: Imagine using a computer to create a perfect 3D model of a person and then virtually trying on clothes on that model to see exactly how they fit, all before making a single piece of fabric. This study shows how this, along with online fashion data, can make clothes fit better and be more eco-friendly.

Why This Matters: This research highlights how technology can solve real-world problems in design, like poor fit and waste, by making the design process smarter and more user-focused.

Critical Thinking: To what extent can purely digital methods fully capture the nuances of fabric drape and wearability compared to physical prototypes?

IA-Ready Paragraph: The integration of digital human modeling, virtual fit sizing, and comprehensive data libraries, as demonstrated by Dönmezer et al. (2023), offers a powerful pathway to enhance garment fit and reduce the environmental impact of the fashion industry through reduced physical prototyping and increased personalization.

Project Tips

• Explore existing digital human modeling software or investigate accessible anthropometric datasets.
• Consider how to virtually test the fit of a design on different body types using 3D modeling software.

How to Use in IA

• Reference this study when discussing the use of digital tools for prototyping, user-centered design, or sustainability in your design project.

Examiner Tips

• Demonstrate an understanding of how digital tools can inform design decisions beyond traditional methods.

Independent Variable: ["Integration of DHM, virtual fit sizing, ergonomic data, and e-libraries."]

Dependent Variable: ["Garment fit, comfort, personalization, production efficiency, environmental impact."]

Controlled Variables: ["Accuracy of digital models, quality of anthropometric data, scope of e-library content."]

Strengths

• Addresses multiple facets of garment design and production (fit, personalization, sustainability).
• Proposes a practical technological solution (mobile app integration).

Critical Questions

• What are the ethical considerations of collecting and using extensive personal body data?
• How can this digital approach be scaled for small design businesses with limited resources?

Extended Essay Application

• Investigate the development and impact of digital twins in other industries beyond fashion, such as automotive or aerospace, for product design and simulation.

Source

Revolutionizing the Garment Industry 5.0: Embracing Closed-Loop Design, E-Libraries, and Digital Twins · Sustainability · 2023 · 10.3390/su152215839