Purpose
– The purpose of this paper is to highlight state-of-the-art digital human modeling applications in aviation and aerospace industry, generate research interest and promote application of digital human modeling technology among audience of diverse background including researchers, students, trainees, etc. in academia and industry; designers; engineers; and ergonomists associated with aviation and aerospace sectors.
Design/methodology/approach
– Comprehensive literature search was performed and, subsequently, all publications identified were studied thoroughly at least by abstracts. Available information has been segregated under different headings and depicted systematically for easy understanding by readers.
Findings
– Virtual human modeling technology has been used in assessing reach and accessibility in aircraft cockpits, creating accurate posture libraries, performing vision analysis for pilots, determining design modifications to accommodate female users, predicting probable pilot behavior in proposed cockpit design, simulating air flow and heat transfer in fighter plane’s cockpit, assessing comfort of airplane passenger seats, maintenance studies, human spaceflight training, verifying component accessibility, investigating impact of space suit parts and harnesses, etc. Traditional approach for ergonomic investigations (involving costly physical mockups and trials with real humans) can be effectively replaced by evaluations facilitated by digital mockups and digital humans.
Research limitations/implications
– Being a review paper, the present manuscript is purely academic in nature.
Originality/value
– The present paper represents critical review (with up to date references), leading to a comprehensive knowledge body about application of digital human modeling in aviation and aerospace industry. Avenues still to be explored have been identified and future research directions have been given aiming at aviation and aerospace completely human centric.
The performance of the DM was found better in terms of plucking rate, energy requirement and body part discomfort than the other existing models. Shoulders and neck are the most affected body parts where all subjects felt severe discomfort.
Agricultural accident incident rate (AIR) was found to be 589 per 1,00,000 workers per year. The AIR for males is 462 per 100,000 workers per year which is 3.6 times higher than female workers. The root causes of accidents are the use of traditional tools and equipment in various agricultural activities. Therefore, any ergonomic interventions in designing tools and equipment will significantly improve the occupational health and safety of workers.
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