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Research On Complex Product Redesign Method For Multi-domain Game Collaboration

Posted on:2024-05-14Degree:DoctorType:Dissertation
Country:ChinaCandidate:K QiuFull Text:PDF
GTID:1522307094464584Subject:Mechanical design and theory
Abstract/Summary:PDF Full Text Request
With the in-depth implementation of the innovation-driven development strategy,the multi-domain,the multi-granularity,the multi-level and the multi-modal "intelligent manufacturing" information has rapidly entered the field of design,and the multi-cognitive agent collaboration has become the New Normal of innovative design.As one of the important contents in industrial design research,redesign has become a new trend in in-service remanufacturing,production capacity and quality improvement of the complex products.Therefore,how to establish a new path for complex product redesign from the perspective of multi-domain system,which is driven by internal multi-agent requirements,based on multi-level modular elements and motivated by external systematic design knowledge is worthy to be explored.By exploring the systematic method of complex product redesign with multi-agent participation,integrating the ideas of cognitive science,multi-domain system,game theory,computer science,etc.,and combining the methods and technologies of complex network,fuzzy evaluation,design structure matrix,analytic hierarchy process,shape blending,eye tracking,etc.,the models of demand decision making with multi-agent participation,module master-slave recognition,knowledge reasoning,intelligent generation and strategic decision of redesign schemes were constructed in this study,the demand domain,the module domain and the knowledge domain were formed,and ultimately the optimal redesign schemes were achieved.The main research contents and innovations are as follows:(1)A demand decision-making model for complex product redesign with multi-agent participation was constructed.Facing the innovative design problem of multi-agent interaction,a demand mining model based on the symbiotic concept was proposed.Methods such as scenario analysis,gray number evaluation,complex network and game theory were used to establish a gray network game model with users and designers as the cognitive subjects to conduct comprehensive evaluation of the redesign demand,a redesign demand decision-making model for complex product was formed,which contains internal functional needs and external interactive needs,and the construction of the demand domain was completed.The granularity of obtaining product innovation design requirements was subdivided in this process,the methods of demand generation in the process of complex product redesign were enriched,and a relatively objective and comprehensive requirement decision-making system was formed.(2)A master-slave recognition model for the redesign module of multi-source information fusion game was constructed.Accomplishing the division of complex product modules and the identification of the master-slave relationship are a new effective path to maximize product innovation under limited resources and economic constraints.The module was divided by using the hierarchical analysis and pedigree clustering.The inter-domain mapping importance of each module was evaluated by combining with the triangular fuzzy evaluation.The relative importance evaluation of each module within the domain was completed based on the fuzzy design structure and DEMATEL.The construction of the module domain was completed by the comprehensive importance evaluation model of the inter-domain and intra-domain modules of the integrated domains,which was established based on game theory.The problem of incomplete evaluation caused by the lack of analysis of the correlation relationship between various modules in existing research was solved through this process,ensured an objective and accurate acquisition of the master-slave relationship of each module was ensured,and laid the foundation for subsequent complex product redesign knowledge reasoning and scheme generation.(3)A knowledge reasoning model based on both non-cooperative and cooperative game theories was constructed.The rapid iteration and upgrading of product have promoted the intersection and integration of multi-disciplinary and multi-dimensional knowledge,and the effective acquisition and application of knowledge is one of the cores of modern product design.Based on the demand domain and module domain,two mapping models were respectively established for internal structure design and external form design.The structural knowledge reasoning with the combination of TRIZ theory and double-layer grey relational evaluation was completed,and the non-cooperative game model was used to evaluate internal structural design knowledge.Combined analytic hierarchy process and cooperative game model,the knowledge evaluation of external form design was carried out.As a result,a redesign knowledge domain that includes internal structural design and external form design was formed,and a more objective and comprehensive knowledge acquisition and representation system was established.Meanwhile,the importance of different categories of design knowledge in multi-objective decision making was considered from a systematic perspective,a method for constructing a knowledge reuse strategy space was formed,which lays the foundation for subsequent scheme generation and decision making.(4)An intelligent generation method for complex product redesign schemes driven by multi-domain collaboration was proposed.Efficient design and generation of schemes are of great significance for improving the efficiency of product innovation design.On the basis of the constructed multi-domain system,the redesign incentive information source was obtained through design-like analogical experiment.A prototype evaluation model was established to obtain prototypes of shape,color,and structure.The intelligent generation of shape redesign was completed by using shape blending algorithm,and the initial redesign scheme set was formed by combining different types of prototypes,which lays the foundation for subsequent scheme decisions.Facing with the complex product features,this method can form creative solutions that break through prototypes,which is of great significance for inspiring designers’ ideas and generating multi-dimensional and diversified creative results.(5)A complex product redesign decision-making model driven by aesthetic cognitive friction was constructed.Under the trend of gradually narrowing performance differentiation,enhancing aesthetic value can effectively enhance the added value of the product.On the basis of aesthetic evaluation,an aesthetic cognition friction measurement and balance model of user-oriented and designer-oriented was constructed in this paper by using the methods of hesitant fuzzy set evaluation,fuzzy Theil entropy calculation and game theory,the feasibility of the model was verified by compared the results of eye movement experiments.While quantifying the differences in aesthetic cognition among multiple subjects,balancing both parties’ pursuit of the optimal expected solution,hence the goal of cognitive symmetry was achieved and the aesthetic cognitive difference was balanced,the optimization of redesign schemes decision were effectively completed,which providing new ideas for design cognitive research.Taking CNC machine tools as the research object,a new research model for complex product redesign was formed from the perspective of intra-domain game and inter-domain collaboration by constructing a multi-domain system,which a new path for innovative design of complex products in the collaborative evolution process of internal constraints and external dynamics was explored.It provides a beneficial exploration to highlight the remanufacturing of in-service complex products,the transformation and upgrading of related manufacturing industries,and the implementation of innovative development strategies.
Keywords/Search Tags:Industrial design, Complex product redesign, Multi-domain system, Game theory, Cognitive friction
PDF Full Text Request
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