The conceptual design of a product determines over 80% of its environmental impact throughout its lifecycle,making it a crucial step in the green transformation of the manufacturing industry.It holds great significance for the realization of China’s two-carbon strategy.The current conceptual design methods of green products are generally oriented towards product manufacturing,distribution logistics or waste disposal,but are rarely discussed from the perspective of product use.However,many products consume much more resources and produce more emissions in the use phase than in other phases,and are largely dependent on the interaction between the user and the product.Conventional research on design methods does not pay much attention to the matching of product functions with the requirements of stakeholder groups,especially the lack of in-depth research on the instantaneous requirements of user groups,and less discussion on how products persuade users to adopt green usage behaviors,so it is difficult to help designers develop design schemes to reduce the environmental impact of products at the use stage.To address these issues,this thesis proposes a green product concept design method based on user usage behavior,supported by the National Natural Science Foundation project "Intelligent Upgrading Design Theory and Method Based on Multi-Attribute Life Customization of Waste Electrical and Mechanical Products(52075396)" and other related research topics.(1)A fundamental framework of green product conceptual design method based on user behavior is constructed.Grounded in behavioral science and the general methods of concept design,this framework analyzes the connotation and characterization of user usage behavior.It discusses the design object,main design objectives,design methods,and supporting theories of green product concept design based on user usage behavior,revealing the essence of this method.Furthermore,the study elaborates on the research foundation for green product design requirements and proposes design approaches to enhance functional matching and green persuasiveness.It establishes a functional structure representation model that integrates user usage behavior and discusses the approach to solving the design solution through function structure mapping technology.Based on the above research,a fundamental framework of the overall method is obtained.(2)A research method is proposed for design requirements applicable to the green product concept design stage.Environmental requirements are deduced through literature analysis,and an online questionnaire and online comments are integrated to form a requirement text database.Natural language processing algorithms combined with manual review are employed to obtain the functional requirements and performance requirements.Finally,a design requirement representation method is proposed,combining qualitative descriptions using "product features + viewpoints" and quantitative descriptions using "performance features + parameter values." Additionally,calculation methods for the weight and priority of various requirements are proposed.(3)A green design method to enhance functional matching is introduced.Firstly,the connotation of functional matching from a green design perspective is discussed,and formulas for functional matching degree and matching potential value are proposed.Then,qualitative and quantitative matching approaches are presented.Qualitative matching is achieved through TRIZ technology’s systematic evolution principles,comparison of functional requirements,and QFD matrix.In terms of quantitative matching,the method proposes the matching of product functionality with normal and instantaneous requirements,specifically addressing the matching issue of instantaneous requirements.A matching method based on one-dimensional linear mapping and machine learning prediction is proposed.Moreover,the effective paths for seeking technical principles for sub-functionality are discussed.(4)A design method to enhance the green persuasiveness of products is proposed based on ontology technology.It encompasses knowledge generation,knowledge representation,and ontology-based design reasoning.By exploring the interaction mechanism between product persuasiveness and user green usage behavior through grounded theory,and studying the characteristics of green persuasion strategies through user usage experiments,an ontology is established in Protégé.This ontology provides a standardized and formalized representation of design knowledge to enhance green persuasiveness.It enables ontology-based design knowledge reasoning and instance retrieval,inspiring designers to generate green design solutions.Finally,the usability and effectiveness of the proposed methods are validated through a design case of a public drinking water machine.The estimation conducted in a theoretical scenario indicates that the new design is more energy-efficient during usage compared to the original design. |