Wheel Hub Model Recommended Method Research Based On User Imagery Preference

At present,the traditional form of the wheel design method highlights a disadvantage,the final determination of the shape of the program by the designer and the decision maker's intuitive judgment,which led to the design of the wheel products can not be very good to meet the market in the vast number of users of the aesthetic needs and preferences.In order to make the wheel model can better meet the personalized needs of consumers,a design method can be introduced to other consumer preference image hub in the design process,to decipher the consumer feel encoding by this method,and transformed into the wheel shape design variables of the objective.This paper puts forward how to introduce the consumer's image demand into the design of the wheel,and transformed into modeling form,make the final design of wheel can meet the demand of consumer imagery.The user preference model recommendation method of hub image as the research target,combination of Kansei Engineering,computer aided technology,the user of the hub image preferences or feeling accurately into the design variables of the wheel,and then to analyze and explore the relationship between more effective user image preference and wheel shape design variables in this mapping,according to the final design of the form of the wheel it can meet the user's preference image.This paper uses relevant knowledge of Kansei Engineering,statistics,machine learning and other fields to build a effective recommendation system,to maximize meet the user's demand of image.First of all,the key features of the wheel hub in the form of design variables.Secondly,based on the Engineering Kansei theory,the evaluation scale of the wheel hub is established by using the data of the questionnaire.Thirdly,to construct a relationship model of relationship between user preference model and image vocabulary and hub design variables and using Support Vector Machine method of preference.Finally,through the Algorithm Genetic to meet the needs of the consumer image of the best wheel modeling.The results of this study have a certain reference value and reference value for the design of the wheel hub which is in line with the user's image demand.