Thermal-Comfort Design of Personalized Casts

Xiaoting Zhang; Guoxin Fang; Chengkai Dai; Jouke Verlinden; Jun Wu; Emily Whiting; Charlie Wang

doi:10.1145/3126594.3126600

Thermal-Comfort Design of Personalized Casts

Xiaoting Zhang, Guoxin Fang, Chengkai Dai, Jouke Verlinden, Jun Wu, Emily Whiting, Charlie Wang

Materials and Manufacturing

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

39 Citations (Scopus)

Abstract

This paper introduces a novel method for designing personalized orthopedic casts which are aware of thermal-comfort while satisfying mechanical requirements. Our pipeline starts from thermal images taken by an infrared camera, by which the distribution of thermal-comfort sensitivity is generated on the surface of a 3D scanned model. We formulate a hollowed Voronoi tessellation pattern to represent the covered region for a web-like cast design. The pattern is further optimized according to the thermal-comfort sensitivity calculated from thermal images. Working together with a thickness variation method, we generate a solid model for a personalized cast maximizing both thermal comfort and mechanical stiffness. To demonstrate the effectiveness of our approach, 3D printed models of personalized casts are tested on body parts of different individuals.

Original language	English
Title of host publication	UIST'17
Subtitle of host publication	Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology
Place of Publication	New York
Publisher	ACM
Pages	243-254
Number of pages	12
ISBN (Print)	978-1-4503-4981-9
DOIs	https://doi.org/10.1145/3126594.3126600
Publication status	Published - 2017
Event	UIST'17: The 30th Annual ACM Symposium on User Interface Software and Technology - Québec City, Canada Duration: 22 Oct 2017 → 25 Oct 2017

Conference

Conference	UIST'17
Country/Territory	Canada
City	Québec City
Period	22/10/17 → 25/10/17

Keywords

personalized cast
thermal-comfort
3D printing
pattern optimization
structural analysis

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10.1145/3126594.3126600

Cite this

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title = "Thermal-Comfort Design of Personalized Casts",

abstract = "This paper introduces a novel method for designing personalized orthopedic casts which are aware of thermal-comfort while satisfying mechanical requirements. Our pipeline starts from thermal images taken by an infrared camera, by which the distribution of thermal-comfort sensitivity is generated on the surface of a 3D scanned model. We formulate a hollowed Voronoi tessellation pattern to represent the covered region for a web-like cast design. The pattern is further optimized according to the thermal-comfort sensitivity calculated from thermal images. Working together with a thickness variation method, we generate a solid model for a personalized cast maximizing both thermal comfort and mechanical stiffness. To demonstrate the effectiveness of our approach, 3D printed models of personalized casts are tested on body parts of different individuals.",

keywords = "personalized cast, thermal-comfort, 3D printing, pattern optimization, structural analysis",

author = "Xiaoting Zhang and Guoxin Fang and Chengkai Dai and Jouke Verlinden and Jun Wu and Emily Whiting and Charlie Wang",

year = "2017",

doi = "10.1145/3126594.3126600",

language = "English",

isbn = "978-1-4503-4981-9 ",

pages = "243--254",

booktitle = "UIST'17",

publisher = "ACM",

address = "United States",

note = "UIST'17 : The 30th Annual ACM Symposium on User Interface Software and Technology ; Conference date: 22-10-2017 Through 25-10-2017",

}

TY - GEN

T1 - Thermal-Comfort Design of Personalized Casts

AU - Zhang, Xiaoting

AU - Fang, Guoxin

AU - Dai, Chengkai

AU - Verlinden, Jouke

AU - Wu, Jun

AU - Whiting, Emily

AU - Wang, Charlie

PY - 2017

Y1 - 2017

N2 - This paper introduces a novel method for designing personalized orthopedic casts which are aware of thermal-comfort while satisfying mechanical requirements. Our pipeline starts from thermal images taken by an infrared camera, by which the distribution of thermal-comfort sensitivity is generated on the surface of a 3D scanned model. We formulate a hollowed Voronoi tessellation pattern to represent the covered region for a web-like cast design. The pattern is further optimized according to the thermal-comfort sensitivity calculated from thermal images. Working together with a thickness variation method, we generate a solid model for a personalized cast maximizing both thermal comfort and mechanical stiffness. To demonstrate the effectiveness of our approach, 3D printed models of personalized casts are tested on body parts of different individuals.

AB - This paper introduces a novel method for designing personalized orthopedic casts which are aware of thermal-comfort while satisfying mechanical requirements. Our pipeline starts from thermal images taken by an infrared camera, by which the distribution of thermal-comfort sensitivity is generated on the surface of a 3D scanned model. We formulate a hollowed Voronoi tessellation pattern to represent the covered region for a web-like cast design. The pattern is further optimized according to the thermal-comfort sensitivity calculated from thermal images. Working together with a thickness variation method, we generate a solid model for a personalized cast maximizing both thermal comfort and mechanical stiffness. To demonstrate the effectiveness of our approach, 3D printed models of personalized casts are tested on body parts of different individuals.

KW - personalized cast

KW - thermal-comfort

KW - 3D printing

KW - pattern optimization

KW - structural analysis

U2 - 10.1145/3126594.3126600

DO - 10.1145/3126594.3126600

M3 - Conference contribution

SN - 978-1-4503-4981-9

SP - 243

EP - 254

BT - UIST'17

PB - ACM

CY - New York

T2 - UIST'17

Y2 - 22 October 2017 through 25 October 2017

ER -

Thermal-Comfort Design of Personalized Casts

Abstract

Conference

Keywords

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