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.
Astronauts are trained in a simulated reduced gravity environment at the NASA Johnson Space Center’s Neutral Buoyancy Laboratory (NBL), an underwater test facility. While crewmembers and spacesuits may have a net effect of weightlessness in this environment, their own weight still forces them against the suit. With the extensive amount of required spacesuit training, an association has been observed between suit exposure time and astronaut injuries. The goal of this study was to identify possible relationships between spacesuit training and extreme underwater work postures that are related to injury risk. Given the limitation of traditional ergonomic evaluation tools because of the complex motion of the spacesuit in an underwater environment, a new tool was developed and tested to measure the three-dimensional orientation of suited test subjects in analysis of NBL training videos. A wireless motion tracking device was paired with an event logging software to quantitatively log the upper body orientations throughout training videos.
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