Research On Predictive Design Of Straddle-mounted Motorcycle Seat Styling

Under the background of the experience economy era,functionality can no longer meet consumers' consumption needs,so people begin to pursue psychological and spiritual satisfaction,and pay more attention to the degree of intimacy between products and themselves,that is,consumers' feelings and experience of using products.This kind of demand is reflected in the product design is the kansei design,the purpose of the kansei design is to meet the emotional needs of consumers to the utmost.Motorcycle,as one of the popular means of transportation,is more and more demanded by consumers.It should not only be safe and comfortable when riding,but also have a unique and fashionable appearance.However,at present,the research on motorcycle modeling is insufficient,and there is a lack of prediction research on motorcycle modeling.Therefore,this study takes the motorcycle seat as the research object,carries on the thorough research to its modelling forecast.The modelling design of a motorcycle is not purely aesthetic but is influenced and restricted by its functions,materials,crafts,in addition to human-machine environment.In motorcycle styling,the seat is one of the most important parts.The motorcycle seat affects the comfort and safety of the driver;therefore,it plays a key role in motorcycle styling.Besides,the side contour lines of a motorcycle include important information such as the type of the motorcycle and the overall style.They can be used as the personalised information to differentiate the visual images of different motorcycle models.In this study,Grey Modelling(GM)(1,1)is used to predict the style of a motorcycle seat,and the shape features of the seat are extracted via morphological analysis and are parameterised.The process of shape evolution is established,and the modelling characteristics are predicted by GM(1,1).The kansei study is performed using five adjectives describing the seat styles to establish the equation of kansei regression analysis.The regression analysis is employed to modify predictive modelling.A certain brand of motorcycle seats is modelled to analyse and verify the feasibility and scientific applicability of adopting GM(1,1)in predicting motorcycle seat styling,which provided a feasible and effective reference for the motorcycle seat design.The specific research contents are as follows:(1)Taking the modeling of a certain brand of QM straddle motorcycle seat as the research object.The modeling characteristics of 10 motorcycle seats in this series were firstly extracted by morphological analysis method,then parameterized description was carried out,and the seat modeling was predicted by GM(1,1)algorithm.(2)Sixteen reference samples are selected by subjective evaluation method and focus group method.After parametric description and homogenization,the prototype seat model is obtained.Then extract 5 pairs of representative kansei words through focus group method,semantic difference method,factor analysis,cluster analysis and other methods.The acquired data are linear regression analyzed using software Statistical Product and Service Solutions(SPSS)to establish the image relationship between kansei words and modeling features.(3)According to the established kansei image space,the error test,correction and re-validation in the form of questionnaires for predicting seat modeling are carried out,and the reliability of the results of the questionnaire survey is analyzed by Cronbach ?.The results of reliability analysis prove that the questionnaire results are credible.The results of the questionnaire fully prove the rationality of the predicted seat modeling and the feasibility of GM(1,1)method for predicting seat modeling.Using the proposed method framework,a motorcycle seat modeling which meets the needs of kansei imagery is designed.