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Development of Wax Blend Pattern and Optimization of Injection Process Parameters by Grey-Fuzzy Logic in Investment Casting Process

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Abstract

Investment casting (IC) process is one of the oldest and most advanced to manufacture components with excellent surface finish, close dimensional tolerance and complex shape. The property of the final cast part depends upon the property of the wax pattern. The present study investigated the development of wax blend pattern by using various waxes, namely paraffin wax, microcrystalline wax, beeswax, polyethylene wax and carnauba wax. The injection parameters were injection temperature (IT), die temperature (DT), injection flow rate (IFR) and holding time (HT), while output process parameters were surface roughness (SR), needle penetration (NP), linear shrinkage (LS) and volumetric shrinkage (VS). A L27 orthogonal array with grey-fuzzy logic was used to optimize the injection process parameter with multiple output characteristics. The results indicated that the optimized process parameters significantly improved the properties of the wax blend pattern used in the investment casting process.

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Correspondence to Sanjay Kumar.

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The online version contains supplementary material available at https://doi.org/10.1007/s40962-021-00655-y.

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Kumar, S., Karunakar, D.B. Development of Wax Blend Pattern and Optimization of Injection Process Parameters by Grey-Fuzzy Logic in Investment Casting Process. Inter Metalcast 16, 962–972 (2022). https://doi.org/10.1007/s40962-021-00655-y

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  • DOI: https://doi.org/10.1007/s40962-021-00655-y

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