Modeling of Cement-Bonded Sand Mould System: An Artificial Intelligence Approach

B. Surekha, Pandu R. Vundavilli and M. B. Parappagoudar
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B. Surekha: DVR & Dr. HS MIC College of Technology, India
Pandu R. Vundavilli: DVR & Dr. HS MIC College of Technology, India
M. B. Parappagoudar: Chhatrapati Shivaji Institute of Technology, India

International Journal of Manufacturing, Materials, and Mechanical Engineering (IJMMME), 2012, vol. 2, issue 1, 30-46

Abstract: The present paper deals with the forward mapping problem of cement bonded sand mould system using fuzzy logic (FL)-based approaches. It is important to note that the performance of an FL-based approach depends on its knowledge base (KB) that is, rule base and data base. Here, three approaches have been proposed to solve the said problem. The first Approach deals with the development of manually constructed Mamdani-based FL system, and the second Approach deals with the optimization of the rule base and data base of the FL system constructed in Approach 1, whereas the third Approach deals with automatic evolution of the FL system, in which the consequent part has also been optimized. A binary coded genetic algorithm (GA) has been used for the said purpose. The performances of the developed approaches are tested in forward mapping of a cement bonded sand mould system. It is to be noted that all the approaches can be effectively used to model the cement-bonded moulding sand system.

Date: 2012
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