Multi-characteristic optimization of wax patterns in the investment casting process using grey–fuzzy logic

The present investigation focuses on optimizing the injection process parameters with multiple performance characteristics in the investment casting process using the orthogonal array with grey–fuzzy logics. A grey–fuzzy reasoning grade obtained from the grey–fuzzy logics analysis is used as a perfo...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology 2013-07, Vol.67 (5-8), p.1577-1587
Main Authors: Pattnaik, Sarojrani, Karunakar, D. B., Jha, P. K.
Format: Article
Language:English
Subjects:
CAE) and Design
Casting
Computer-Aided Engineering (CAD
Engineering
Fuzzy logic
Industrial and Production Engineering
Investment casting
Mechanical Engineering
Media Management
Optimization
Original Article
Orthogonal arrays
Performance indices
Process parameters
Production methods
Shrinkage
Surface finish
Variance analysis
Waxes
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Summary:The present investigation focuses on optimizing the injection process parameters with multiple performance characteristics in the investment casting process using the orthogonal array with grey–fuzzy logics. A grey–fuzzy reasoning grade obtained from the grey–fuzzy logics analysis is used as a performance index to determine the optimal injection process parameters. The selected injection process parameters are injection temperature, injection time, and injection pressure, while the considered performance characteristics are linear shrinkage and surface finish. The response table, response graph, and analysis of variance are used to find the optimal setting and the influence of injection process parameters on the multiple performance characteristics. The results of confirmation experiments reveal that grey–fuzzy logics can effectively acquire an optimal combination of the process parameters. Hence, quality of wax patterns in the investment casting process can be significantly improved through this approach.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-012-4591-4