Optimization of Green Sand-Casting Process Parameter of Foundry Industry by Taguchi Method : A Review

Author:

Gaurav G. Zalariya 1,Priyank D. Zaveri 2

Affiliation:

1. Department of Mechanical Engineering, Gujarat Technological University, Ahmedabad, Gujarat, India

2. Department of Mechanical Engineering, B H Gardi College of Engineering and Technology, Rajkot, Gujarat, India

Abstract

A pattern is used to create cavities in a porous, reflective material, typically sand, and then liquid metal is poured into the voids, taking on the shape of the cavities to form the desired metal product. This process is known as casting. Many process variables in the green sand casting process have an impact on the casting quality. The goal of this review paper is to use the Design of Experiments method, such as the Taguchi method, to optimize a green sand casting process parameter. The Taguchi Method is a potent approach to tackling issues that can raise productivity, yield and process performance. Using Taguchi analysis, the impact of various process parameters at various levels on casting quality can be analysed and the various parameters can be tuned to their ideal values.

Publisher

Technoscience Academy

Subject

General Medicine

Reference12 articles.

1. Guharaja, S., Noorul Haq, A., & Karuppannan, K. M. (2006). Optimization of green sand casting process parameters by using Taguchi’s method. The International Journal of Advanced Manufacturing Technology, 30(11), 1040-1048.

2. Jai Ganesh (2008). Optimization of Moulding Sand Parameters Using Taguchi’s Design of Experiments. Indian Foundry Journals, Vol.54 43-55.

3. Upadhye, R. A., & Keswani, I. P. (2012). Optimization of sand casting process parameter using Taguchi method in foundry. International Journal of Engineering Research & Technology, 1(7), 2278-0181.

4. Patil, S. D., Ganganallimath, M. M., Math, R. B., & Karigar, Y. (2015). Application of Six Sigma method to reduce defects in green sand casting process: A case study. International Journal on Recent Technologies in Mechanical and Electrical Engineering, 2(6), 37-42.

5. Mane, V. V., Sata, A., & Khire, M. Y. (2017, February). New approach to casting defects classification and analysis supported by simulation. In Proceedings of the 59th Indian Foundry Congress, Chandigarh, February (pp. 87-104).

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