Abstract
Case-Based Reasoning is an important method for the reuse of engineering knowledge. A study has been carried out by the authors on the key technologies that are needed in a Case-Based knowledge system to support engineering design. This paper reports a uniform dynamic representation mechanism based on granularity to represent the engineering knowledge, in the form of cases and rules, for the design of fixtures on machine tools. Based on the Nearest-Neighbour algorithm, an algorithm of case retrieval is brought forth to support the dynamic adaptation of index words and to optimize case retrieval by some design rules. It has been identified that case adaptation is one of the most difficult issues of Case-Based Reasoning for fixture design. Design rules have been used to improve the automation and quality of case adaptation. According to the characteristics of fixtures in the CAD data, several mining patterns can be provided, including case cluster analysis, design rules mining, CAD data criterion mining and user application pattern mining. Then an application platform for mechanical CAD data mining based on cases is built, and a feasible way has come up with to settle the problem of design knowledge acquisition. Based on the developed key technologies, a Case-Based knowledge system for fixture design has been developed and has been tested and applied in an aviation corporation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Crubezy, M., Musen, M.A.: Ontologies in Support of Problem Solving, http://bmir.stanford.edu/file_asset/index.php/39/SMI-2003-0957.pdf (Retrieved: 2009)
Elalami, M.E.: A Filter Model for Feature Subset Selection based on Genetic Algorithm. Knowledge-Based Systems 22(5), 356–362 (2009)
Farquhar, A., Fikes, R., Rice, J.: The Ontolingua Server: a tool for collaborative ontology construction. International Journal of Human-Computer Studies 46(6), 707–727 (1997)
Gennesereth, M.R., Ketchpel, S.P.: Software Agents. Communications of the ACM 37(7), 48–53 (1994)
Han, J.W., Kamber, M.: Data Mining Concepts and Techniques. Higher Education Press, Beijing (2001)
He, J.W., Lai, H.Y., Wang, H.Q.: A commonsense knowledge base supported multi-agent architecture. Expert Systems With Applications 36(3), 5051–5057 (2009)
Kasravi, K.: Knowledge-Based Engineering (KBE) Tutorial, http://www.kasravi.com/presentations/04%20%20KBE%20Tutorial.PPT (Retrieved: 2000)
Klein, R.: Knowledge Modeling in Design-the MOKA Framework (2000), http://www.kbe.coventry.ac.uk/moka/Documents/Papers/AID2000.pdf (Retrieved)
Lee, K.S., Luo, C.: Application of Case-Based Reasoning in Die-Casting Die Design. Advanced Manufacturing Technology 20(1), 284–295 (2002)
Li, W., Li, P.G., Rong, Y.: Case-based agile fixture design. High Technology Letters (English Language Edition) 7(3), 70–74 (2001)
Li, Y.G.: Research and Implementation of the Knowledge Processing Techmology in KBE. Nanjing University of Aeronautics and Astronautics (in Chinese), Nanjing (2004)
Li, Y.G., Zhou, R.R., Huang, X., Liao, W.H.: Design of Multiple Case Base with Product Information Model Indexed by Key Characteristics. Journal of Computer-Aided Design & Computer Graphics (in Chinese) 16(1), 134–137, 141 (2004)
Li, Y.G., Zhou, R.R., Liao, W.H.: A Case Retrieval Algorithm supporting index words extend dynamically. Transactions of Nanjing University of Aeronautics and Astronautics (in Chinese) 36(6), 797–802 (2004)
Li, Y.G., Zhou, R.R., Liao, W.H., Lu, Y.: Case K-Nearest Neighbors method Retrieval Model with Rule-based Reasoning. Mechanical Science and Technology (in Chinese) 23(11), 1313–1316 (2004)
Poon, S.K., Davis, J.G., Choi, B.: Augmenting Productivity Analysis with Data Mining: An application on IT businees value. Expert Systems with Applications 36(2), 2213–2224 (2009)
Röhl, P.J., Kolonay, R.M.: A Federated Intelligent Product Environment. In: Proceedings of the 4th International Conference on Engineering Design and Automation, Orlando, USA, pp. 106–109 (2000)
Shiu, S.C.K., Yueng, D.S., Sun, C.H., Wang, X.Z.: Transferring case knowledge to adaptation knowledge: an approach for case-base maintenance. Computational Intelligence 17(2), 295–314 (2001)
Stavredes, T.: A System Dynamics Evaluation Model and Methodology for Instructional Technology Support. Computers in Human Behavior 17(4), 409–419 (2001)
Sutton, D., Patkar, V.: CommonKADS analysis and description of a knowledge based system for the assessment of breast cancer. Exppert Systems with Applications 36(2), 2411–2423 (2009)
Wang, H., Zhou, X.H., Ruan, X.Y.: Using the Genetic Algorithm to Facilitate Case-adaptation of Injection Mould Cost Estimation CBR System. China Mechanical Engineering (in Chinese) 13(22), 1957–1960 (2002)
Xu, D.X., Zheng, G.L.: Logical Object as a Basis of Knowledge Based Systems. Journal of Computer Science & Technology 10(5), 425–438 (1995)
Ying, B.S., Gao, Q.J.: Case-based and Rule-based reasoning Integration Research. Wuhan University of Science and Technology(Natural Science Edition) (in Chinese) 25(1), 61–64 (2002)
Zhang, J.P., Wang, A.H., Wei, Y.M., Liu, D.X., Yin, G.S.: Applying the Artificial Neural Network to Knowledge Acquiring. Journal of Harbin Engineering University 20(6), 42–46 (1999)
Zhang, Z.: Static and Dynamic Feature Weighting in Case-Based Reasoning (CBR). Simon Fraser University (1997)
Zhang, Z., Qiang, Y.: Feature Weight Maintenance in Case Based Using Introspective Learning. Intelligent Information Systems 16(1), 95–116 (2001)
Zhang, Z., Qiang, Y.: Dynamic refinement of feature-weights in CBR using quantitative introspective learning. In: Proceeding of the International Joint Conference in Artificial Intelligence, San Fransisco, USA, pp. 228–233 (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, Y., Jian, J. (2010). Development of Key Technologies in a Case-Based Knowledge System for Fixture Design. In: Huang, G.Q., Mak, K.L., Maropoulos, P.G. (eds) Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology. Advances in Intelligent and Soft Computing, vol 66. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10430-5_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-10430-5_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10429-9
Online ISBN: 978-3-642-10430-5
eBook Packages: EngineeringEngineering (R0)