Multi-objective ergonomics design model optimization for micro electric cars via response surface methodology

• Published in: Discover applied sciences 2024-10, Vol.6 (10), p.552-23, Article 552
• Main Authors: Mohammed, Ayman R., Saleh, Zead, Aldabbagh, Alhassan M., Al Hanbali, Ahmad
• Format: Article
• Language: English
• Subjects: Applied and Technical Physics; Automobiles; CAE; Chemistry/Food Science; Comfort; Computer aided engineering; Computer simulation; Data envelopment analysis; Design analysis; Design of experiments; Design optimization; Earth Sciences; Electric vehicles; Engineering; Environment; Ergonomics; Ergonomics assessments; Ergonomics design; Factorial design; Human performance; Materials Science; Micro electric car; Multiple objective analysis; Optimization; Orthogonal arrays; Pedals; Protective equipment; Regression analysis; Regression models; Response surface methodology; Seats; Signal to noise ratio; Software; Steering wheels; Variance analysis; Virtual humans; Work stations
• ISSN: 3004-9261; 2523-3963; 3004-9261; 2523-3971
• DOI: 10.1007/s42452-024-06219-z

Despite advancements in ergonomic comfort assessments in automotive design, optimizing seat dimensions within the constrained spaces of micro-electric cars presents a substantial challenge. In this study, response surface methodology (RSM) is utilized for the ergonomics design of a micro electric car in the conceptual design phase. Specifically, five critical seat dimensions are analyzed: Seatback Angle, Seat Base Angle, Steering Wheel Height from Car Base, Distance from Seat Base to Pedals, and Distance from Seat Base to Steering Wheel. The analysis took place using a 2-level full factorial design L32 orthogonal array. The optimal dimensions are determined using RSM, such as the mean comfort level and signal-to-noise ratio are maximized, and the standard deviation for multiple drivers is minimized. Three regression models are formulated for the three responses, and their adequacy is checked using different methods. The optimal dimensions are obtained and verified through digital human modeling simulation. This research offers practical guidelines for the ergonomic seating design in micro-electric vehicles, enhancing comfort without compromising space efficiency. Article highlights This study creates better car seats for small electric cars, making rides more comfortable. It uses a unique mix of methods to find the best seat design, verified by software. Findings help car companies design seats that fit more people’s comfort needs.