Product Rapid Response Design Based on Knowledge Engineering

2011 ◽  
Vol 271-273 ◽  
pp. 563-568
Author(s):  
Li Gang Tai ◽  
Dian Qi Li ◽  
Tie Jun Zhao ◽  
Tong Jiang

This paper introduces a mechanical product intelligent design platform. It presents a product information representation model, gives out the store structure, retrieving process of product cases and the usage of their knowledge for a new design. Finally, it gives an example of product design using this method, proving that it is quite good for product rapid responding design to meet fast changing market requirement and customer’s individual demand.

2009 ◽  
Vol 419-420 ◽  
pp. 741-744
Author(s):  
Yong Jun Zheng ◽  
Zhong Ming Ren ◽  
Dai Zhong Su ◽  
Leslie Arthur

With recent advances in wireless communication technologies, the world of mobile computing is flourishing with a variety of applications. This paper presents a mobile product information retrieval system that supports collaborative work among remote users. With the development of the system, a knowledge representation framework has been adopted which accommodates semantic relationships and similarity of product data. To illustrate the system developed, a case study in information retrieval for product design is presented.


2012 ◽  
Vol 157-158 ◽  
pp. 452-455
Author(s):  
Zhen Yu Xu ◽  
Bin He

Product conceptual design is a problem-solving activity based on knowledge engineering. Information model of product conceptual design includes functional knowledge, effect knowledge, principle solution knowledge and their relationships. This paper is devoted to presenting a general product information processing method for product conceptual design based on improved meta-model. The representation of product function, domain, relationship, behavior, structure, property based on the above meta-model are proposed step by step. The methodology is obviously helpful for product innovation.


Author(s):  
ADEL SMEDA ◽  
MOURAD OUSSALAH ◽  
TAHAR KHAMMACI

In this article we show how knowledge representation techniques can be applied to software architecture. We define a representation model for software architecture concepts. The model is based on MY model (meta modeling in Y), which is a knowledge engineering methodology. It represents software architecture concepts using three branches: component, connector, and architecture. The component branch represents concepts that are related to computations, the connector branch represents concepts that are related to interactions, and the architecture branch represents concepts that are related to the structure and the topology of the system described. We think that such a representation of architecture concepts aids in improving reusability not only at the implementation level, but also at the description level. The model assigns a hierarchical library for the four software architecture conceptual levels (meta-meta architecture level, meta architecture level, architecture level, application level).


2014 ◽  
Vol 556-562 ◽  
pp. 3961-3964
Author(s):  
Yong Jun Jiang

Fundamental to the IMP, is the requirement to provide a harmonized data model and represent it appropriately, including geometric tolerances information that can be understood well by computers and users. In this paper, we propose a layered conformance level geometric tolerances representation model. This model uses the widely applied ASME Y14.5M-1994 as its foundation layer by abstracting most information from this standard. Thus, different application domains in an enterprise can use this data model to exchange product information. This model is further transformed with XML Schema that can be used to generate XML instance file to satisfy geometric tolerances representation requirements in IMP. Fig.1 A typical feature control frame and its possible symbols. Fig.2. Example part.


2012 ◽  
Vol 459 ◽  
pp. 394-397
Author(s):  
Bin Wang ◽  
Jian Jun Chen ◽  
Jie Tao

Applying Artificial Intelligence technology on mold design can help realize the design automation of mold. Because knowledge-based engineering is an effective intelligent design method, the paper systematically introduced the application and development of knowledge representation, knowledge reasoning, knowledge acquisition and other key technologies of knowledge engineering technology used in mold design field. Finally, the development tendency of mold design based on artificial intelligence was analyzed in detail


2010 ◽  
Vol 118-120 ◽  
pp. 576-580 ◽  
Author(s):  
Xue Fen Ma ◽  
Xu Dong Dai

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.


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