Experimental Research on Optimization Design and Comfort of Locomotive Seat Based on Ideal Pressure

doi:10.3901/JME.2022.10.383

Abstract

Abstract: In order to improve the comfort of the driver's seat of an export-oriented electric locomotive, the man-machine system of the driver’s seat was analyzed by combining human-computer engineering simulation software JACK, subjective perceived comfort scale and pressure cushion, and then the form of the seat back was optimized based on ergonomic design method. The human-machine matching degree of the optimized backrest is simulated and verified by subjective and objective experiments. The results show that the optimized backrest design scheme has higher human-machine interaction matching degree than the prototype back, and can form a good support for the driver's back. Finally, a comfort prediction model was established by using MATLAB LIBSVM toolbox to predict and analyze seat comfort, and the mean square error (MSE) and correlation coefficient (R) were obtained as 0.003 753 4 and 93.063 1%, respectively. The prediction accuracy of this model was high and the subjective evaluation process could be greatly simplified. This method can provide theoretical reference and experimental basis for the comfort design of rail transit equipment driver’s seat.

Key words: ideal pressure, electric locomotive, driver seat, optimization design, comfort

CLC Number:

TG472

FAN Qinhong, JIANG Xingchen, WU Xueliang, NIE Min, XIN Yunsheng, LI Haolin, JIA Xianyu. Experimental Research on Optimization Design and Comfort of Locomotive Seat Based on Ideal Pressure[J]. Journal of Mechanical Engineering, 2022, 58(10): 383-394.

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