Knowledge representation and their applying to fixture design

• Autorzy: Nekrassov G. , Portjanski L.
• Języki publikacji: EN

Abstrakty

EN

The aim is to develop an integrated design space for CAD of technological equipments. The model of the design environment is represented as a two-level hierarchical decision-making system. The proposed environment provides support for creating and manipulating 3D models of technological equipment and their components, calculating functional and structural properties and the evaluation criteria, and for determining the rules to control the design process for optimizing the portfolio of interdependent projects of technological equipments. As examples the design of workholder is considered. The computer aided workholder design system is created on Case Based Reasoning, in which the attributes of the workpiece and structure of workholder as case index code are designed for the retrieve of the similar cases, and the structure and hierarchical relation of case library are stored. The structure of case storage (database and knowledge base) for general workholders selected as an object for mining and sampling of the developed software are worked out. It is offered to apply a method of neural networks to realization procedure of forecasting of decisions. The considered algorithms of knowledge extraction are realized by development of invariant nucleus design space.

Słowa kluczowe

EN

CAD; technological equipments; knowledge base; case based reasoning; neural networks

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Journal of Machine Engineering
• Rocznik: 2008
• Tom: Vol. 8, No. 4
• Strony: 99--110
• Opis fizyczny: Bibliogr. 9 poz., rys.

Twórcy

autor

Nekrassov G.

• Tallinn University of Technology, Department of Machinery, Ehitajate tee 5, 19086 Tallinn, Estonia

autor

Portjanski L.

• Tallinn University of Technology, Department of Machinery, Ehitajate tee 5, 19086 Tallinn, Estonia

Bibliografia

• [1] AAMODT A., PLAZA E., Case-Based Reasoning: Foundational Issues, Methodological Variations, and system Approaches. Artificial Intelligence Communications Vol. 7 Nr. 1, March 1994, 39-59.
• [2] KYTTNER R., NEKRASSOV G., SUTT A., Design space for collaborative concurrent CAD of technological equipment, DAAAM International Scientific Book ISBN 3-901509-36-4, Vienna, Austria, 2003, 347-358.
• [3] LEE K. S., LUO C., Application of Case-Based Reasoning in Die-Casting Die Design Adv. Manuf. Technol. V 20, 2002, 284-295.
• [4] LU HONGJUN., SETIONO R., LIU HUAN., NeuroRule: A connectionist approach to Data Mining. Proc. Of the 21st VLDB Conference, Zurich, Swizerland, 1995.
• [5] MITROFANOV S. P., The Scientific Principles of Group Technology. National Lending Library, Translation 1966.
• [6] RONG Y., ZHU Y., Computer-Aided Fixture Design, Marecl Dekker, Inc. ISBN: 0-8247-9961-5, USA, 1999.
• [7] TIWARI M.K., RAMA KOTAIAH K., BHATNAGAR S., A Case-Based Computer-Aided Process-Planning System for Machining Prismatic Components Adv. Manuf Technol. V. 11, 2001, 400-411.
• [8] WASSERMAN P.D., Neural Computing: Theory & Practice. Van Nostrand Reinhold: New York. ISBN 0-442-20743-3, 1989.
• [9] WEIGEND A.S., ZIMMERMANN H.G., NEUNEIER R., Clearing. In Neural Networks in Financial Engineering, World Scientific, Singapore, 1996.