Modular design can shorten the product development cycle and enhance the product research and development capability of enterprises. To better solve the problem of module interface coupling after module partition, the present modular product design method has been improved based on the theory of inventive problem solving and axiomatic design theory. This article summarizes the engineering parameters commonly used in modular design based on the requirement analysis and conflict problems of modular structure design. And in the process of dividing the functional modules by fuzzy clustering algorithm, we propose defining and classifying the principle (technical) correlation between parts by these parameters. Then the coupling relation of each module interface is analyzed by the design matrix of axiomatic design and the conflict solving tool of the theory of inventive problem solving is utilized for decoupling. Finally, the high chair is taken as the design object and the design process is used to verify the feasibility of this method.

The impacts on the environment of many commercial products have not been fully considered in past years. For the sustainable development of Earth’s resources, future product design should move towards not only innovation, but also fundamentally in the green direction. Currently, the BioTRIZ method may provide a satisfactory solution for a single contradiction of green product design. However, if there are multiple contradictions existing due to multiple operational fields, difficulty in implementing design aspects may be posed. For this reason, this paper develops a BioTRIZ multi-contradiction resolution method targeting a green product design, which can find the crucial contradictions and thus achieve the necessary invention principles (IP). By summarizing the green factors and further dividing operational fields, the deduced matrix table becomes highly effective in the design. Accordingly, designers can be assisted to quickly find the operational fields under multiple contradictions. The effectiveness of the proposed method is verified using a product example of a window-cleaning robot design.

A dynamic color design model and method are proposed for a class of industrial product color design problems with dynamic changes in the appearance of products and different appearance in different operating modes. These types of industrial products that have a variety of operating modes in the operating cycle are defined as multimodal industrial products (MMIPs). For a single mode, a single-modal industrial product (SMIP) color design model is established by using users’ color image requirements as the design goal to transform the dynamic color design problem of products into weighting forms of several single modes and to realize the discretization of continuous problems. Finally, a dynamic color design model of MMIPs is established. A genetic algorithm (GA) is used to optimize this model to obtain the color design scheme that conforms to the users’ dynamic image perception. Finally, by means of an example of color design about engineering machinery, this method is demonstrated to be feasible and applicable for dynamic color design optimization of MMIPs.