Abstract

At present, owing to the different size between the SAE manikins used in seat comfort evaluation and the Chinese anthropometry, and the poor representation and coverage percentile manikin had to actual manikin, it is necessary to establish a new seat comfort manikin model based on the Chinese anthropometry characteristics. In this paper, the principal component analysis was used to reduce the multidimensional data set of the Chinese anthropometry by using eigenvectors and eigenvalues. The goal was to establish a three-dimensional confidence ellipse with 95% confidence, and then select the anthropometry data corresponded to the 26 feature points on the ellipse as boundary manikins. Then established the vehicle seat and boundary manikin by CATIA, carried out the sitting posture simulation analysis, and compared with the verification results of the SAE manikins and the Chinese percentile manikins. The results show that the sitting posture results of the three models are quite different. The established model can more accurately reflect the results of the sitting posture distribution of the Chinese anthropometry data, and can provide a reference for seat design and seat comfort evaluation.

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