Research on the Six-Dimension Knowledge Classification System and Model for Modern Product Design

2010 ◽  
Vol 118-120 ◽  
pp. 576-580 ◽  
Author(s):  
Xue Fen Ma ◽  
Xu Dong Dai
Keyword(s):  
Knowledge Representation ◽  
Product Design ◽  
Classification System ◽  
Expert Knowledge ◽  
Design Knowledge ◽  
Design Domain ◽  
Application Process ◽  
Resource Unit ◽  
Representation Model ◽  
Knowledge Classification

Based on the features of distributed knowledge resources environment and taking knowledge mobility in modern design as its supporting goal, this essay focuses on research into knowledge classification systems and representation models of product design. It proposes a six-dimension design knowledge classification system and a cubic knowledge representation model operating in an environment of distributed resources. The six dimensions of design knowledge classification are discipline, product, resource unit, application process, expression pattern, and design domain respectively. Accordingly, the six planes of the cubic knowledge representation model are, therefore, the discipline plane, expression pattern plane, resource unit plane, product plane, application process plane, and design domain plane, clearly represent the application profiles of design knowledge in six dimensions. The six-dimension design knowledge classification system and cubic model are applied to fluid simulation implicit knowledge (expert knowledge) as a real case, and are the basis upon which an application system of fluid emulation expert knowledge service is developed. The design knowledge classification system and representation model proposed in this essay are the theoretical foundations for knowledge flow model development in modern product design and the construction of knowledge management systems for modern design platforms.

The Application of the Product Design Knowledge Classification System within a Distributed Knowledge Resources Environment

2012 ◽  
Vol 271-272 ◽  
pp. 1446-1450
Author(s):  
Xue Fen Ma ◽  
Xu Dong Dai
Keyword(s):  
Product Design ◽  
Classification System ◽  
Classification Model ◽  
Design Knowledge ◽  
Application Process ◽  
Distributed Knowledge ◽  
Knowledge Resources ◽  
Resource Unit ◽  
Knowledge Search ◽  
Knowledge Classification

The design knowledge classification is the basis of knowledge search. The extended six-dimension design knowledge classification system mainly includes the extended discipline, product, application process dimension and resource unit, expression pattern, design domain dimension. In a distributed knowledge resources environment, the product design activities usually are participated by three roles, design entity, resource units and design knowledge resource register center. Based on this classification system, this paper analyzes in detail how it is used by these three roles to support the design knowledge search and puts forward to the resource unit and design resource register center knowledge classification model.

Research on the Extended Product Design Knowledge Classification System within a Distributed Knowledge Resources Environment

2012 ◽  
Vol 268-270 ◽  
pp. 1938-1943
Author(s):  
Xue Fen Ma ◽  
Xu Dong Dai
Keyword(s):  
Social Science ◽  
Product Design ◽  
Natural Science ◽  
Classification System ◽  
Design Knowledge ◽  
Functional Design ◽  
Distributed Knowledge ◽  
Technical Problems ◽  
Knowledge Resources ◽  
Knowledge Classification

Within a distributed knowledge resources environment, the product design activities usually are participated by design entity, resource units and design knowledge resource register center. The appropriate design knowledge classification system is the basis of the product design under this environment. The functional design is an especially important phase for designing the innovational products. In the phase, the main problems are not technical problems but are socio-technical problems. The functional design, most often, requires not only the natural science knowledge, but also social science knowledge. The functional design is completed by many more design experts not only from psychology and other natural science, but also from many social science areas, which increases the difficulty and complexity of product design and design knowledge search within a distributed resources environment. On the basis of analyzing the modern product design, especially the features of functional design, this paper proposes an extended six-dimension design knowledge classification system which mainly extends the discipline, product and application process dimension. Finally, this paper makes brief introduction about the application of this classification system.

scholarly journals Research on new creative conceptual design system using adapted case-based reasoning technique

2016 ◽  
Vol 31 (1) ◽  
pp. 16-29 ◽  
Author(s):  
Jie Hu ◽  
Jin Ma ◽  
Jin-Feng Feng ◽  
Ying-Hong Peng
Keyword(s):  
Knowledge Representation ◽  
Conceptual Design ◽  
Design System ◽  
Design Knowledge ◽  
Case Based Reasoning ◽  
Pump Design ◽  
Design Models ◽  
Representation Model ◽  
Previous Design ◽  
Case Based

AbstractCreative conceptual design requires significant previous design knowledge. Case-based reasoning enables learning from previous design experience and has a great potential in supporting creative conceptual design by means of seeking to retrieve, reuse, and revise most appropriate cases to generate inspired solutions. However, traditional case-based reasoning based creative conceptual design models focus on design strategies research, pay little attention to defining a consistent knowledge representation model, and neglect the research to make various types of knowledge retrieval tractable. Faced with such drawbacks, the expected design knowledge cannot be retrieved properly, especially in cases where multidisciplinary knowledge is concerned or exact query terms are absent. In order to solve these issues, this paper presents a combined approach to support creative conceptual design process. First, function–behavior–structure knowledge cell is introduced as a unified consistent design knowledge representation model. Second, a hybrid similarity measure is proposed to increase the overall possibility of obtaining useful design knowledge by considering semantic understanding ability. Third, an intelligent creative conceptual design system has been developed with a case study of a novel insulin pump design to demonstrate its usage, and two experiments are conducted to evaluate the performance of the proposed approach. The results show that the proposed approach outperforms other case-based reasoning based creative conceptual design models.

Constrained FBS knowledge cell model, representation, and applications for conceptual design

2015 ◽  
Vol 230 (11) ◽  
pp. 1773-1786 ◽  
Author(s):  
Jin Ma ◽  
Jie Hu ◽  
Jin-Feng Feng ◽  
Jin Qi ◽  
Ying-Hong Peng
Keyword(s):  
Knowledge Representation ◽  
Conceptual Design ◽  
Design Process ◽  
Integrated Approach ◽  
Synthesis Process ◽  
Design Knowledge ◽  
Knowledge Reuse ◽  
Representation Model ◽  
Design Solutions ◽  
Design Knowledge Reuse

Conceptual design plays a pivotal role in generating creative design solutions and, in most cases, reuse of existing design knowledge is necessary. However, lack of a consistent design knowledge representation model and neglect of an integrated approach to support various formats of design knowledge reuse constrain conceptual design from transforming design requirements into practical promising design solutions. In order to solve these problems, this paper presents a constrained function-behavior-structure knowledge cell (CFBS) model to provide conceptual design process with a consistent knowledge representation model. CFBS-based integrated approach for design knowledge reuse is proposed, which includes three-level CFBS retrieval process to obtain most relevant CFBS expressed in various types, three-stage design synthesis process to produce suggested design solutions, and evaluation process to select the most feasible design solutions. The effectiveness of the proposed design process was illustrated with conceptual design of the micro-feed drive module of insulin pump based on the CFBS library.

Ontology-Based Knowledge Management for Vehicle Design

2009 ◽  
Vol 626-627 ◽  
pp. 639-644
Author(s):  
Mei Zhang ◽  
Yan Yan ◽  
R.H. Wang ◽  
Jia Hao
Keyword(s):  
Knowledge Management ◽  
Knowledge Representation ◽  
Domain Ontology ◽  
Design Knowledge ◽  
Vehicle Design ◽  
Design Domain ◽  
Knowledge Retrieval ◽  
Ontology Construction ◽  
Development Tool

To utilize vehicle design knowledge reasonably and effectively, ontology is introduced in this paper and vehicle design domain ontology is constructed within three steps which are: extracting the significant terminologies and concepts in the field, establishing ontology framework, constructing vehicle design domain ontological relation tree combining development tool. According to the method, vehicle design ontological relation tree is built and evaluated through descriptive evaluation and verifiable evaluation. The results are applied in knowledge representation which adopts SVPO (Subject + Verb + Parameter + Object) mode and knowledge retrieval, the effectiveness of ontology is verified in our system. Finally the paper concluded a concurrent method of ontology construction.

The Study of Product Configuration Information Model and Repository

2014 ◽  
Vol 681 ◽  
pp. 279-283
Author(s):  
Hua Long Xie ◽  
Ming Bin Shen
Keyword(s):  
Knowledge Representation ◽  
Product Design ◽  
Design Model ◽  
Product Configuration ◽  
Configuration Model ◽  
Design Knowledge ◽  
Configuration Design ◽  
Customer Requirements ◽  
Different Types ◽  
Configuration Information

Product configuration design model is established on the basis of the base type product of standardization, seriation. According to the needs of customers, This paper arranges the physical and functional structure of the product, and sets up configuration model of the whole model. Through the analysis and configuration design, provides the final product to meet customer requirements. In this article, introduces the mix of configuration design knowledge representation methods, so as to adapt to the requirements of different types of product design.

Design knowledge representation in Prolog/Rex

1999 ◽  
Vol 12 (2) ◽  
pp. 221-228 ◽  
Author(s):  
Sanja Vranes̆ ◽  
Mladen Stanojević
Keyword(s):  
Knowledge Representation ◽  
Design Knowledge
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