Human modeling tools for spacesuit and hardware design and assessment

Kim, K. Han; Young, Karen; Benson, Elizabeth; Jarvis, Sarah; Vu, Linh; Hernandez, Yaritza; Rajulu, Sudhakar

doi:10.1016/b978-0-12-816713-7.00046-5

Cited by 5 publications

(4 citation statements)

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“…In this specific example, the HUT was considered to quantify the overlap and contact with the wearer's body. The procedures are detailed in the previous studies (Kim et al, 2019;Davis et al, 2020). In summary, the 3D CAD geometry of the spacesuit was overlaid with subjects' body scans or statistically estimated body shape models of the crewmember-like population.…”

Section: Resultsmentioning

confidence: 99%

“…In this specific example, the HUT was considered to quantify the overlap and contact with the wearer's body. The procedures are detailed in the previous studies (Kim et al. , 2019; Davis et al.…”

Section: Resultsmentioning

confidence: 99%

“…Efforts have been made for developing morphologic and kinematic human and spacesuit models to predictively assess spacesuit fit and mobility (Kim et al, 2016(Kim et al, , 2019Davis et al, 2020). This framework for virtual testing of spacesuit fit is based on 3D body scanning and computational modeling techniques.…”

Section: D Virtual Fit Assessment and Modeling 301mentioning

confidence: 99%

“…Efforts have been made for developing morphologic and kinematic human and spacesuit models to predictively assess spacesuit fit and mobility (Kim et al. , 2016, 2019; Davis et al. , 2020).…”

Section: Introductionmentioning

confidence: 99%

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3D virtual fit assessment and modeling: liquid cooling and ventilation garment

Weiss¹,

Hernandez

Kim

et al. 2021

IJCST

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PurposeThe suboptimal fit of a spacesuit can interfere with a crewmember's performance and is regarded as a potential risk factor for injury. To quantify suit fit, a virtual fit assessment model was previously developed to identify suit-to-body contact and interference using 3D human body scans and suit CAD models. However, ancillary suit components and garments worn inside of the suit have not been incorporated.Design/methodology/approachThis study was conducted to predict a 3D model of the liquid cooling and ventilation garment (LCVG) from an arbitrary person's body scan. A total of 14 subjects were scanned in a scan wear and LCVG condition. A statistical model was generated using principal component analysis and random forest regression technique.FindingsThe model was able to predict the geometry of the LCVG layer at the accuracy of 5.3 cm maximum error and 1.7 cm root mean square error. The errors were more pronounced for the arms and lower torso, while the thighs and upper torso regions, which are critical for suit fit assessments, show more accurate predictions. A case study of suit fit with and without the LCVG model demonstrated that the new model can enhance the scope and accuracy of future spacesuit assessments.Originality/valueThe capabilities resulting from these modeling techniques would greatly expand the assessments of fit of the garment on various anthropometries. The results from this study can significantly improve the design process modeling and initial suit sizing efforts to optimize crew performance during extravehicular activity training and missions.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: D Virtual Fit Assessment and Modeling 301mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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