Design and development of fuzzy logic-based expert system for forward and reverse mappings in resin bonded sand systems

B. Surekha (), D. Hanumantha Rao (), G. Krishna Mohan Rao (), Pandu R. Vundavilli () and M. B. Parappagoudar ()
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B. Surekha: KIIT, University
D. Hanumantha Rao: Matrusri Engineering College
G. Krishna Mohan Rao: JNTUH College of Engineering
Pandu R. Vundavilli: IIT Bhubaneswar
M. B. Parappagoudar: Padre Conceicao College of Engineering

International Journal of System Assurance Engineering and Management, 2022, vol. 13, issue 1, No 32, 439-449

Abstract: Abstract Resin-bonded molding/core sand system is known for producing castings with good dimensional accuracy and high productivity. In the existing study, forward and inverse mappings have been considered to establish the mapping between various input variables and replies of the resin joined sand system. The concept of fuzzy logic is implemented for the said purpose. The mechanical properties namely permeability, tensile, compression, and shear strength of the core are forecasted in forward representation for various combinations of contributing process factors, such as the number of strokes, curing time, quantity of resin, and hardener. Alternatively, inverse modeling aids in obtaining the required levels of the input variables for the anticipated core properties. One thousand training data cases have been used to provide the batch mode of training to the fuzzy system. To have an adaptive fuzzy system that can perform the predictions in a better way, its knowledge base is automatically evolved through the use of genetic algorithms. Moreover, the performances of the developed forward and inverse models are verified by using experimental test scenarios.

Keywords: Resin-bonded sand system; Forward and reverse modeling; Genetic-fuzzy system (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s13198-021-01293-7

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