Short Title: Int. J. Mech. Eng. Robot. Res.
Frequency: Bimonthly
Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
2024-12-18
2024-10-25
Abstract—The investment casting process involves the production of engineering castings using an expendable pattern such as wax. As it is growing in size and complexity, its properties need to be controlled. However, the quality of the final casting mainly depends on the quality of wax pattern and ceramic shell. This study highlights the application of a fuzzy logic analysis in combination with Taguchi’s design of experiments for prediction of quality of wax patterns in terms of linear shrinkage, surface roughness and penetration in the investment casting process. Trial experiments were conducted to confirm this approach. It has been found that the method of fuzzy logic controller modeling not only simulates the operating experiments from parametric design strategy, but also demonstrates a simple, effective, and efficient way in developing a robust quality in the product. Index Terms—Wax pattern, Investment casting, Taguchi design, Fuzzy logic, Fuzzy rules
Cite: Renish M Vekariya and Rakesh P Ravani, "Investment Casting Process Using Fuzzy Logic Modelling," International Journal of Mechanical Engineering and Robotics Research, Vol.2, No. 1, pp. 232-241, January 2013.