Details

Title

Utilizing Taguchi method and Regression Analysis for Optimizing Sand Mould Flowability

Journal title

Archives of Foundry Engineering

Yearbook

2024

Volume

Accepted articles

Affiliation

Abdulamer, Dheya : University of Technology- Iraq ; Muhsan, Ali A. : University of Technology- Iraq ; Hamdi, Sinan S. : University of Technology- Iraq

Authors

Keywords

Green sand ; Moulding factors ; Flowability ; Taguchi method ; ANOVA

Divisions of PAS

Nauki Techniczne

Publisher

The Katowice Branch of the Polish Academy of Sciences

Bibliography


[1] Rao, T.V. (2003). Metal casting: principles and practice. New Delhi: New Age International.

[2] Bownes, F.F. (1971). Sand Casting. In Beadle, J.D. (Eds.) Castings: Production Engineering Series (pp. 63-74). Palgrave, London: Red Globe Press London. https://doi.org/10.1007/978-1-349-01179-7_7.

[3] Saikaew, C. & Wiengwiset, S. (2012). Optimization of moulding sand composition for quality improvement of iron castings. Applied Clay Science. 67-68, 26-31. https://doi.org/10.1016/j.clay.2012.07.005.

[4] Karunakar D.B. & Datta, G.L, (2007). Controlling green sand mold properties using artificial neural networks and genetic algorithms- A comparison. Applied Clay Science. 37(1-2), 58-66. https://doi.org/10.1016/j.clay.2006.11.005.

[5] Abdulamer, D. & Kadauw, A. (2019). Development of mathematical relationships for calculating material-dependent flowability of green molding sand. Journal of Materials Engineering and Performance, 28, 3994-4001. https://doi.org/10.1007/s11665-019-04089-w.

[6] Abdulamer, D. (2023). Study on the impact of moulding parameters on the flow property of green sand mould, Canadian Metallurgical Quarterly. 1-7. DOI: 10.1080/00084433.2023.2287797.

[7] Baitiang, C., Weiß, K., Krüger, M. et al, (2023). Data-driven process analysis for iron foundries with automatic sand molding process. International Journal of Metalcasting.18, 1135-1150. https://doi.org/10.1007/s40962-023-01080-z.18

[8] Abdulamer, D. (2023). Utilizing of the statistical analysis for evaluation of the properties of green sand mould. Archives of Foundry Engineering. 23(3), 67-73. DOI: 10.24425/afe.2023.146664.

[9] Mahesh B. Parappagoudar, Dilip Kumar Pratihar, and Gouranga Lal Datta, (2011). Modeling and analysis of sodium silicate-bonded moulding sand system using design of experiments and response surface methodology. Journal for Manufacturing Science & Production. 11(1-3), 1-14, https://doi.org/10.1515/jmsp.2011.011.

[10] Sultana, M.N., Rafiquzzaman M. & Al Amin, M. (2017). Experimental and analytical investigation of the effect of additives on green sand mold properties using taguchi method. International Journal of Mechanical Engineering and Automation. 4(4), 109-119.

[11] Gunasegaram, D.R., Farnsworth D.J. & Nguyen, T.T. (2009). Identification of critical factors affecting shrinkage porosity in permanent mold casting using numerical simulations based on design of experiments. Journal of materials processing technology. 209(3), 1209-1219. https://doi.org/10.1016/j.jmatprotec.2008.03.044.

[12] Patel, M.G.C., Parappagoudar, M.B., Chate, G.R. & Deshpande, A.S. (2017). Modeling and optimization of phenol formaldehyde resin sand mould system. Archives of Foundry Engineering. 17(2), 162-170. DOI: 10.1515/afe-2017-0069.

[13] Ishfaq, K., Ali, M. A., Ahmad, N., Zahoor, S., Al-Ahmari, A. M. & Hafeez, F. (2020). Modelling the mechanical attributes (roughness, strength, and hardness) of al-alloy A356 during sand casting. Materials. 13(3), 598, 1-24. DOI: 10.3390/ma13030598.

[14] Guharaja, G., Noorul Haq A. & Karuppannan, K.M. (2006). Optimization of green sand casting process parameters by using Taguchi’s method. International Journal of Advance Manufacturing Technology. 30, 1040-1048. https://doi.org/10.1007/s00170-005-0146-2.

[15] Khare, M., Kumar, D. (2012). Optimization of sand casting parameters using factorial design. International Journal of Scientific Research. 3(1), 151-153.

[16] Reddy, K.S., Reddy, V.V., Mandava, R.K. (2017). Effect of binder and mold parameters on collapsibility and surface finish of gray cast iron no-bake sand molds. IOP Conference Series: Material Science and Engineering. 225 012246. DOI 10.1088/1757-899X/225/1/012246.

[17] Abdulamer, D. (2023). Impact of the different moulding parameters on properties of the green sand mould. Archives of Foundry Engineering. 23(2), 5-9. DOI: 10.24425/afe.2023.144288.

[18] Dabade, U.A. & Bhedasgaonkar, R.C. (2013). Casting defect analysis using design of experiments (DoE) and computer aided casting simulation technique. Procedia CIRP. 7, 616-621. https://doi.org/10.1016/j.procir.2013.06.042.

[19] Lakshamanan Singaram, (2010). Improving quality of sand casting using taguchi and ANN analysis. International journal on design and manufacturing technologies. 4, 1-5.

[20] Kumari, A., Ohdar, R., Banka, H. (2016). Multiobjective parametric optimization of green sand moulding properties using genetic algorithm. In 3rd International Conference on Recent Advances in Information Technology RAIT, 03-05. March 2016 (pp. 279-283). Dhanbad, India: IEEE. DOI: 10.1109/RAIT.2016.7507916.

[21] Charnnarong Saikaew, & Sermsak Wiengwiset, (2012). Optimization of molding sand composition for quality improvement of iron castings. Applied Clay Science. 67-68, 26-31. DOI: 10.1016/j.clay.2012.07.005.

Date

18.07.2024

Type

Article

Identifier

DOI: 10.24425/afe.2024.151284
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