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Digital Strategies for E-Textile Design and Manufacturing.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Digital Strategies for E-Textile Design and Manufacturing./
作者:
Knowles, Caitlin Grace.
面頁冊數:
1 online resource (228 pages)
附註:
Source: Dissertations Abstracts International, Volume: 85-03, Section: A.
Contained By:
Dissertations Abstracts International85-03A.
標題:
Electrocardiography. -
電子資源:
click for full text (PQDT)
ISBN:
9798380266826
Digital Strategies for E-Textile Design and Manufacturing.
Knowles, Caitlin Grace.
Digital Strategies for E-Textile Design and Manufacturing.
- 1 online resource (228 pages)
Source: Dissertations Abstracts International, Volume: 85-03, Section: A.
Thesis (Ph.D.)--North Carolina State University, 2023.
Includes bibliographical references
Electronic textiles (e-textiles) have great potential to revolutionize the wearable technology space due to benefits such as their practical form factor and distributed sensor network capability. However, key design and manufacturing challenges including electronics integration, scalable manufacturing methods, and collaboration among disciplines are holding back their potential growth. Current e-textile design relies on the iteration of physical prototypes to achieve a system that meets stakeholder requirements. This time-intensive process results in systems that are not designed with scalable manufacturing in mind and have inconsistent and unreliable performance. Like other established industries such as electronics and aerospace, e-textile development must be supported by a validated digital framework to to create scalable and robust systems. This is the central challenge addressed in this dissertation.The overall goal of this work is to identify, apply, and evaluate digital tools and methodologies to inform e-textile design and manufacturing. After an overview of the motivation for this dissertation (Chapter 1) and a review of prior work (Chapter 2), Chapters 3 and 4 focus on exploring digital strategies for e-textile design. Specifically, 3D garment simulation is applied and validated as a technique for performance-predictive design. The motivation is to provide a digital strategy to link textile design decisions (e.g., material selection, pattern size) to electrical performance metrics (e.g., resistance, signal to noise ratio).Chapters 5 and 6 shift the focus to manufacturing and the methodologies and supporting infrastructure required to enable an e-textile digital ecosystem. Chapter 5 defines foundational design rules for key textile processes (knitting, weaving, and embroidery) to set manufacturing constraints within CAD-CAM systems that aim to inform designers of the limitations of industrial manufacturing equipment and how certain decisions can impact performance. Chapter 6 determines the scope for a cohesive digital ecosystem by identifying a process flow for e-textile system design using best practices from both the electrical and textile industries. Through customer discovery with academic and industry stakeholders, a transdisciplinary framework is proposed, gaps in the tools and supporting infrastructure are identified, and a roadmap for moving forward is established.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024
Mode of access: World Wide Web
ISBN: 9798380266826Subjects--Topical Terms:
644746
Electrocardiography.
Index Terms--Genre/Form:
554714
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Digital Strategies for E-Textile Design and Manufacturing.
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Electronic textiles (e-textiles) have great potential to revolutionize the wearable technology space due to benefits such as their practical form factor and distributed sensor network capability. However, key design and manufacturing challenges including electronics integration, scalable manufacturing methods, and collaboration among disciplines are holding back their potential growth. Current e-textile design relies on the iteration of physical prototypes to achieve a system that meets stakeholder requirements. This time-intensive process results in systems that are not designed with scalable manufacturing in mind and have inconsistent and unreliable performance. Like other established industries such as electronics and aerospace, e-textile development must be supported by a validated digital framework to to create scalable and robust systems. This is the central challenge addressed in this dissertation.The overall goal of this work is to identify, apply, and evaluate digital tools and methodologies to inform e-textile design and manufacturing. After an overview of the motivation for this dissertation (Chapter 1) and a review of prior work (Chapter 2), Chapters 3 and 4 focus on exploring digital strategies for e-textile design. Specifically, 3D garment simulation is applied and validated as a technique for performance-predictive design. The motivation is to provide a digital strategy to link textile design decisions (e.g., material selection, pattern size) to electrical performance metrics (e.g., resistance, signal to noise ratio).Chapters 5 and 6 shift the focus to manufacturing and the methodologies and supporting infrastructure required to enable an e-textile digital ecosystem. Chapter 5 defines foundational design rules for key textile processes (knitting, weaving, and embroidery) to set manufacturing constraints within CAD-CAM systems that aim to inform designers of the limitations of industrial manufacturing equipment and how certain decisions can impact performance. Chapter 6 determines the scope for a cohesive digital ecosystem by identifying a process flow for e-textile system design using best practices from both the electrical and textile industries. Through customer discovery with academic and industry stakeholders, a transdisciplinary framework is proposed, gaps in the tools and supporting infrastructure are identified, and a roadmap for moving forward is established.
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