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

International Journal of System Assurance Engineering and Management volume 13, pages 439–449 (2022)Cite this article

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.

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Abbreviations

b1,….b8 :

Half-base widths

CS:

Compression strength

DB:

Database

DOE:

Design of experiments

f :

Fitness

FL:

Fuzzy logic

GA:

Genetic algorithm

GA-FL:

Genetic fuzzy system

HBW:

Half base width

KB:

Knowledge base

m:

No. of outputs

N:

No. of training scenarios

NN:

Neural network

Ooi :

Predicted output

P:

Permeability

RB:

Rule base

SS:

Shear strength

Toi :

Target output

TS:

Tensile strength

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Authors and Affiliations

  1. School of Mechanical Engineering, KIIT, University, Bhubaneswar, Odissa, 751024, India

    B. Surekha

  2. Department of Mechanical Engineering, Matrusri Engineering College, Saidabad, Hyderabad, Telangana, 500059, India

    D. Hanumantha Rao

  3. Department of Mechanical Engineering, JNTUH College of Engineering, Hyderabad, Telangana, 500085, India

    G. Krishna Mohan Rao

  4. School of Mechanical Sciences, IIT Bhubaneswar, Bhubaneswar, Odissa, 752050, India

    Pandu R. Vundavilli

  5. Department of Mechanical Engineering, Padre Conceicao College of Engineering, Verna, Goa, 403722, India

    M. B. Parappagoudar

Authors
  1. B. Surekha
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  2. D. Hanumantha Rao
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  3. G. Krishna Mohan Rao
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  4. Pandu R. Vundavilli
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  5. M. B. Parappagoudar
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Correspondence to M. B. Parappagoudar.

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Appendix

Appendix

See Table 2.

Table 2 Input–Output data of the test cases
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Surekha, B., Hanumantha Rao, D., Krishna Mohan Rao, G. et al. Design and development of fuzzy logic-based expert system for forward and reverse mappings in resin bonded sand systems. Int J Syst Assur Eng Manag 13, 439–449 (2022). https://doi.org/10.1007/s13198-021-01293-7

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  • DOI: https://doi.org/10.1007/s13198-021-01293-7

Keywords

  • Resin-bonded sand system
  • Forward and reverse modeling
  • Genetic-fuzzy system