UML Models of Design and Knowledge Representation for Technical Production Preparation Needs

Author:

Grabowik Cezary1,Kalinowski Krzysztof1,Paprocka Iwona1,Kempa Wojciech M.1

Affiliation:

1. Silesian University of Technology

Abstract

Having in mind the need of the computer adding of the technical production preparation functions the elaboration of models of the design and knowledge representation is essential. In order to prepare these models the object paradigm in the meaning of object oriented techniques and the UML language would be applied. Thanks to this solution the coherent representation of the design and manufacturing knowledge in the framework of a new created CAPP is possible to achieve. The main purpose of the presented work is to show and discuss original models of a design and manufacturing knowledge representations. In the proposed solution the product design is represented by means of the hierarchical class structure in which a particular class is responsible for representing a characteristic type of the model feature. The manufacturing knowledge similarly to knowledge representation is also represented by means of the hierarchical class structure. Each class in the manufacturing knowledge model stores a certain amount of manufacturing knowledge. This model allow representing both procedural and declarative knowledge. The declarative character of the model results from storing of manufacturing process planning rules whilst procedural one from recording of manufacturing instrumentation, cutting parameters etc. selection procedures. Having these models done it is possible to undertake a research on connections between a design and manufacturing knowledge representations.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. e-CAPP: A distributed collaborative system for internet-based process planning;Journal of Manufacturing Systems;2017-01

2. The distributed agent-based approach in the e-manufacturing environment;IOP Conference Series: Materials Science and Engineering;2015-11-03

3. Agent-based models in robotized manufacturing cells designing;IOP Conference Series: Materials Science and Engineering;2015-11-03

4. Determination of the robot location in a workcell of a flexible production line;IOP Conference Series: Materials Science and Engineering;2015-11-03

5. Sensitivity Analysis of Predictive Scheduling Algorithms;Advanced Materials Research;2014-10

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