Research On Product Form Optimization Design Based On Dynamic Systems Theory

With the development of the times,the product form that favors emotional design has gradually become the mainstream of the market,and the user’s demand for perceptual aspects has attracted more and more attention from enterprises.In product image design,the product form image always is the focus of attention of design participants（users,designers,engineers,etc.）.However,because of the individual cognitive differences between participants and the cognitive differences between groups,it is difficult to form a unified image perception in form design.In order to comprehensively consider the cognitive differences among users,designers and engineers,and to achieve the stable inheritance of image characteristics in the product form optimization,the evaluation model of product image form is constructed by the Logistic regression model and entropy theory in dynamic systems theory from the self-characteristics of the cognitive subjects.Combined with the multidimensional perception space and morphological feature measures,the product image evolutionary design method is formed based on morphological parameter constraints.Finally,a complete design method system is formed by the detailed design of the product elements layout through aesthetic calculation.Experimental results show that the method can effectively guide the optimization design of the product form.The main contents includes following four parts.Firstly,through the theories and analysis of design cognition,the research samples and the vocabulary of product target image are determined by the method of Kansei Engineering.The cognitive characteristics of each cognitive subject group are studied,the influence factors of their cognitive changes are explored,and the users,designers,engineers are investigated and analyzed based on the results of image cognition analysis.Secondly,based on the survey data,combined with the non-linear causal analysis of the dynamic systems theory,the evaluation model of product image form based on dynamic systems is constructed.First of all,the individual cognitive differences within three groups of users,designers,engineers are analyzed and synthesized by the Logistic regression model,and the cognitive probability of the cognitive subjects to the target image is calculated.Then,the cognitive differences between the three groups are balanced by the entropy theory,and the comprehensive evaluation of product image form is achieved.Finally,an excellent sample database is established based on the evaluation results.Thirdly,the genetic algorithm operation is carried out by the parent generation of product forms in the excellent sample database.The evolution results are judged by the fitness function of the feature measures parameter constraints for ideal forms.Finally,the algorithm and the judgment process are implemented to construct a humancomputer interactive product form evolution system based on the genetic algorithm to achieve the evolutionary design of product form.Fourthly,taking the elements layout aesthetic measure of product as quantified condition,the optimization design of the product elements details are carried out.First of all,the key aesthetic measures of the target product elements layout are quantitatively analyzed by the characteristics of product form and aesthetic principles.Then,the entropy theory is applied to calculate the aesthetic measures of product elements layout from an objective perspective.Finally,the availability of aesthetic calculation results is verified by comparative test.Combined with the results of form design to verify the image evaluation,thereby the method system of optimization design is formed from overall form to detailed layout.The method can guide the optimization and innovation of product at the quantitative level.