A Study on Ontology-Based Representation System of Product Design Knowledge

2010 ◽  
Vol 426-427 ◽  
pp. 366-370 ◽  
Author(s):  
H.B. Wu ◽  
Yuan Wei Liu

In this paper, we investigated the definition of product design knowledge, design knowledge origin characteristics and design knowledge formalized representation method, etc. We also established the methods to classify and represent the concept-design knowledge and developed an ontology-based model presenting the design knowledge as well as a model for modeling cycles. From the design knowledge management’s angle, design knowledge modeling approach is studied to support the design knowledge development, transfer and reuse for the construction machinery the knowledge modeling.

2010 ◽  
Vol 458 ◽  
pp. 42-47
Author(s):  
Yuan Wei Liu

In this paper, we investigated the knowledge modeling and proposed an ontology description logic theory based on fuzzy interval in order to support the management and reuse of design knowledge. We also established the methods to classify and represent the concept-design knowledge and developed an ontology-based model presenting the design knowledge as well as a model for modeling cycles. We further applied these methods and models to develop a specific ontology-based design knowledge model and validated them in the management system of design knowledge for the construction machinery.


2012 ◽  
Vol 426 ◽  
pp. 382-386
Author(s):  
Jie Chen

In this paper, we concentrate on the ontology-Based design knowledge modeling technologies for the construction machinery. For that, we study the ontology modeling theory, the representation of product design knowledge and the ontology modeling of design knowledge, etc. From the design knowledge management’s angle, design knowledge modeling approach is studied to support the design knowledge development, transfer and reuse for the construction machinery.


2010 ◽  
Vol 458 ◽  
pp. 271-276 ◽  
Author(s):  
Zhu Gao ◽  
Xiao Min Ji ◽  
Hun Guo

In this paper, we investigated the knowledge modeling and proposed an ontology-based descriptively-logic theory using fuzzy interval in order to support the management and re-usage of the knowledge of design. We also established the methods to classify and present the concept-design knowledge and developed an ontology-based model presenting the knowledge of design as well as a model for modeling cycles. We further applied these methods and models to develop a specific ontology-based design-knowledge model and At last the practicability and validity of these methods are validated in the management system of design knowledge for the construction machinery.


2011 ◽  
Vol 52-54 ◽  
pp. 1193-1198
Author(s):  
Neng Wan ◽  
Rong Mo ◽  
Zhi Yong Chang

The purpose of this paper is to build knowledge description model for complex product design. In order to uniform the semantic of glossary in design process, an extensive glossary semantic tree is built up and the corresponding semantic similarity calculation algorithm is proposed. The complex design knowledge can be divided into instance pattern, chart pattern, formula pattern and rule pattern. The knowledge models are proposed for these four pattern knowledge models. At last, a design knowledge modeling and reusing system for complex product is achieved, and the design knowledge can be inherited by it.


2013 ◽  
Vol 339 ◽  
pp. 378-383
Author(s):  
Ji Wen Chen ◽  
Jin Sheng Zhang ◽  
Hong Juan Yang

Knowledge modeling and solving strategy are the key techniques of improving the innovation design ability of a complex product with design knowledge system. Aiming at a formal expression of product behavior knowledge, generalized variables are introduced from the bond graph theory. The attributes of motion behavior are used to realize the unity of dynamic behavior and static behavior. The ontology model of product design function, behavior, structure knowledge is constructed with the six-tuple structure. With the breadth first search FBS ontology mapping strategy, product design is realized by searching within product design knowledge base according to the name similarity. For the new function introduced by new demand in product design, concept learning based on variant space is proposed to get the general function unit or special function unit. Then the innovation design is realized through FBS ontology mapping strategy. The validity of the proposed method is verified by example of innovation design of multi-wire diamond saw.


2010 ◽  
Vol 118-120 ◽  
pp. 795-799 ◽  
Author(s):  
Xu Dong Dai ◽  
Xue Fen Ma

The resources that product design relies on are more distributed than ever along with the varying of the global design environment. More and more resources outside of enterprises are needed during the product design process. The Modern Product Design platform supporting the product design under the circumstance of distributed resources will meet the requirement of the enterprise's product design and development under such conditions, and will simplify the implementation of the IT support system for integration of design resources outside of enterprises. In this paper the characteristics and supporting technologies of product modern design platform, which supporting the distributed design resource circumstance and centering on the enterprise, are studied. The building method of the platform is presented and a prototype of the product design platform is developed. Three subsystems are included in the platform; they are product requirements analysis system, product design planning system and design knowledge management system. Many design tasks can be supported on the platform, such as product requirement analysis, concept design, detail design, and experiment. The distributing, implementing, tracking and managing of product design lifecycle tasks can also be supported on the platform. The distributed design resources could be sealed as application components to provide design services. Design work flow model and knowledge flow model are built and controlled on the design platform. The design knowledge is managed based on the Six-Dimension Knowledge Classification.


2010 ◽  
Vol 426-427 ◽  
pp. 697-700
Author(s):  
Guo Xing Tang ◽  
Hun Guo ◽  
W.D. Jin

In this paper, we investigated the knowledge modeling and proposed an ontology-based representation approach in order to support the management and re-usage of the knowledge of design. We also established the methods to classify and present the concept-design knowledge and developed an ontology-based model presenting the knowledge of design.


2012 ◽  
Vol 426 ◽  
pp. 28-31
Author(s):  
Jie Chen

In this paper, we established the methods to classify and represent the concept-design knowledge and developed an ontology-based model presenting the design knowledge as well as a model for modeling cycles. We further applied these methods and models to develop a specific ontology-based design knowledge model and validated them in the management system of design knowledge for the construction machinery.


2014 ◽  
Vol 945-949 ◽  
pp. 446-449
Author(s):  
Ai Min Li ◽  
Fa Rong Kou ◽  
Qin Yu Niu ◽  
Hai Bo Tian

Product design and development becomes increasingly knowledge-intensive and collaborative. It is very difficult to meet currently imperious needs for the traditional design mode, knowledge managing methods and the geometry-centric application tool. Designers require more generic knowledge of design and design process and more intelligent system. It establishes the FBPSS framework system supporting modeling of product function, behavior, principle, state and structure. Based on this FBPSS framework system, ontology-based product design system is developed through design knowledge repositories.


2021 ◽  
Vol 1 ◽  
pp. 2691-2700
Author(s):  
Stefan Goetz ◽  
Dennis Horber ◽  
Benjamin Schleich ◽  
Sandro Wartzack

AbstractThe success of complex product development projects strongly depends on the clear definition of target factors that allow a reliable statement about the fulfilment of the product requirements. In the context of tolerancing and robust design, Key Characteristics (KCs) have been established for this purpose and form the basis for all downstream activities. In order to integrate the activities related to the KC definition into product development as early as possible, the often vaguely formulated requirements must be translated into quantifiable KCs. However, this is primarily a manual process, so the results strongly depend on the experience of the design engineer.In order to overcome this problem, a novel computer-aided approach is presented, which automatically derives associated functions and KCs already during the definition of product requirements. The approach uses natural language processing and formalized design knowledge to extract and provide implicit information from the requirements. This leads to a clear definition of the requirements and KCs and thus creates a founded basis for robustness evaluation at the beginning of the concept design stage. The approach is exemplarily applied to a window lifter.


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