| With the re-emergence of the manufacturing industry,my country’s textile machinery industry is gradually developing towards the direction of intelligence through the upgrading of textile machinery technology and modeling design.In view of the subjective and experience-dependent problems in textile machinery modeling design,this paper proposes the research direction of carding machine image modeling,and constructs and solves the relationship between carding machine modeling elements and perceptual image through a quantitative method.The purpose of the recommended combination of carding machine model categories under multi-image dimensions is to provide a quantitative and rational design method for carding machine model design.The research of the subject aims at combing the literature of theories and methods,constructing the relationship model of the carding machine’s modeling and kansei image and the carding machine modeling sample library,and establishing carding machine modeling recommendations in single and multi-image dimensions system.The article is developed according to the following structure.First,analyze the research background and status quo of textile machinery,analyze the problems in the research of textile machinery modeling design,put forward the theoretical basis of kansei engineering,BP neural network and analytic hierarchy process as the research methods,and explain the applicability of the method.Second,from the perspective of the kansei image of the carding machine,the BP neural network is used to construct the model of the relationship between the carding machine’s styling elements and the kansei image,and the model is used to recommend the carding machine’s styling design.Third,the design strategy is applied to design practice,and the generated design plan is optimized and evaluated,and the final design plan is selected.Finally,at the end of the article,it summarizes the shortcomings of the research of this subject,and puts forward a prospect for the research method of carding machine image modeling design. |