Shell Eco-Challenge competition challenges its participant to strive for efficient use of energy. In the competition voyage, the driver plays a vital role in the event. The drivers were needed to endure long hours of driving in their own designed vehicle,and each team was given five driving attempts, and the best mileage achievement was judged. Lack of ergonomic analysis in the design phase would cause discomfort, fatigue and could lead to heat stress for the driver as it is compulsory for the driver to wear other protective gear such as a racing suit, gloves, socks, shoes, and helmet. Ensuring the best ergonomicinterior designis met, Rapid Upper Limb Assessment (RULA) analysis has been used to utilize the suitable interior assembly design for Shell Eco-Challenge Urban Concept Car. The resulting invehicle interior layout packaging design is solved by using Digital Human Modeling (DHM) based on RULAin the CATIA V5 R20 application. The 95th percentile anthropometry data gathered from 80 male faculty students served as the input to the Human Measurement Editor (HME) module in CATIA V5 R20 software prior to the RULA assessment.From the analysis, it was found that the design Assembly 3 is the best interior layout packaging based on the final score of RULA analysis when compared to the other designs.
Volume 12 | 08-Special Issue
Pages: 1178-1189
DOI: 10.5373/JARDCS/V12SP8/20202632