Methoding Design in Sand Casting, Paper (2), Fuzzy Expert System and Feature-Based For Building Castings and Feeders Design

Mohamed Ibrahim Shukri, Adil Mohamed Elbasheer Ahmed


In this paper, a feature-based solid modeling integrated with a fuzzy expert system was developed. The feature-based model had been developed by the authors, to provide manufacturing information to the fuzzy system application. The fuzzy system is based on heuristic rules of feeder in paper (1), to classify castings and design feeders. Heuristic rules were encoded inside the fuzzy system in production rules: IF-THEN-ELSE. The fuzzy system was connected with the model through open database connectivity database. Results inferred from fuzzification of inputs and defuzzification of outputs through inference process. A design condition flow chart was built to evaluate the results.


design by feature; fuzzy logic; heuristic; classification; feeders

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Guido Sangiovonni Dipartimento, Definition of fuzzy logic rules representing finite element method experts’ reasoning, Fuzzy Sets and Systems, vol.160, pp.1444–1456, 2009 [2] E S., S, P., H. and Halabe “Fuzzy Logic Expert System for Automated Damage Detection from Changes in Strain Energy Mode Shapes,” Nondestructive. Testing and Evaluation, Vol.18 pp. 1-20, 2002. [3] Ibrahiam M. M. Elmany, Rabia “Fault Detection of Computer communication Network Using an Expert System” American Journal of Applied Sciences 2 (10), pp. 1407-1411, 2005. [4] S. Hamid L. Mirhosseyni , Phil Webb, A Hybrid Fuzzy Knowledge-Based Expert System and Genetic Algorithm for efficient selection and assignment of Material Handling Equipment, Expert Systems with Applications, Vol. 36 , pp.11875–11887, 2009 [5] M.H. FazelZarandi , P. Ahmadpou, Fuzzy agent-based expert system for steel making process, Expert Systems with Applications, Vol.36 , pp 9539–9547, 2009 [6] S. Hamid L. Mirhosseyni , Phil Webb, A Hybrid Fuzzy Knowledge-Based Expert System and Genetic Algorithm for efficient selection and assignment of Material Handling Equipment, Expert Systems with Applications , Vol.36, pp. 11875–11887, 2009. [7] S.V. Wong A.M.S. Hamouda , M.A. El Baradie , Generalized fuzzy model for metal cutting data selection, Journal of Materials Processing Technology, Vol. 89, pp. 310–317, 1999. [8] A. M. Elbasheer, M. I.Shukri and Waeil, A fuzzy expert system for rigging system design, Journal of science and Technology,12(02), pp. 124-133, December 2011 . [9] M.H. Fazel, P., Fuzzy agent-based expert system for steel making process,Expert system with application 36,pp.9539-9547, 2009. [10] S B, L., M. “Quality Monitoring Using Principal Component Analysis and Fuzzy Logic Application in Continuous Casting Process” American Journal of Applied Sciences.4 (9):pp.637-644, 2007 [11] F.T.S. Chan · H.K. Chan · M.H. Chan · P.K. Humphreys, An integrated fuzzy approach for the selection of manufacturing technologies, Int J AdvManufTechnol , Vol. 27, pp.747–758,2006

C.F. You , C.C. Chiu, An Automated Assembly environment in Feature-based Design, Int J AdvManufTechnol, Vol. 12,pp.280-287, 1996. [13] Elbashear, Shukri and Waeil, A feature-based solid modeling for building casting components, Sudan Engineering Society Journal, Vol. 57, pp. 1-10, 2011 [14] Hun Lee, Feature-based non-manifold modeling system to integrate design and analysis of injection molding products, Journal of Mechanical Science and Technology Vol.23 , pp.1331-1341, 2009 [15] Cambell, John, Castings. Oxford: Butterworth-Heinemann, 1991 [16] Gerin Sylvia, J. “Cast Metals Technology”, American Foundry Society and Research Institute 1972. [17] Du. Marie E., New opportunities in the new millennium creative ways for added value. Foundries as developers-experience of medium size supplier to the machinery manufacturing industry, The German Foundry Congress, Leipzig, 2000. [18] J. Cambell, “Casting” Reprinted series, Butterworth –Heinemann, Oxford, UK. 1997. [19] N. Sirilertworakul, PD. Webster and T.A. Dean, Computer prediction of location of heat centers in castings, Material Science and Technology, Vol.9, pp.923-928, 1993. [20] J., V. Kondic and G Martin, “ Solidification times of simple shaped castings in mould design,” Modern Castings, Vol. 36, pp,39.1959 [21] W.D. Spiegelberg, Computation of Solidification Gradient in Cast Steel Sections, Ph.D. Thesis, Department of Metallurgy and Materials Science, Case Western Reserve University, 1970. [22] Liao, S. H. Expert system methodologies and applications – A decade review from 1995 to 2004. Expert Systems with Applications, Vol. pp., 28-1, 93–103, 2005. [23] Zadeh, L. A Fuzzy sets. Information and Control, vol.8, pp. 338–353. . 1965. [24] P. Baraldi a,, M. L, E. Zio a, L. P, V.N. Dang , Two techniques of sensitivity and uncertainty analysis of fuzzy expert systems, Expert Systems with Applications Vol. 36, pp. 12461–12471,2009 [25] Siler. W. and J. Buckley, “Fuzzy Expert Systems and Fuzzy Reasoning”, John Wiley & Sons, Inc. New Jersey, 2005. [26] ALY, S, and VRANA “Toward efficient modeling of expert systems: a survey” Agric. Econom.-Czech, pp. 456-460. , 2006. [27] Y. Zhang ·G. Q. Huang · B. K. K. Ngai ·X. Chen, Case-based polishing process planning with Fuzzy Set Theory, J IntellManuf, Vol. 21, pp. 831 – 842, 2010


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