Modeling and Optimization of Phenol Formaldehyde Resin Sand Mould System

• Autorzy: Chate G. R. , Patel M. G. C. , Parappagoudar M. B. , Deshpande A. S.

Identyfikatory

DOI

10.1515/afe-2017-0069

• Języki publikacji: EN

Abstrakty

EN

Chemical bonded resin sand mould system has high dimensional accuracy, surface finish and sand mould properties compared to green sand mould system. The mould cavity prepared under chemical bonded sand mould system must produce sufficient permeability and hardness to withstand sand drop while pouring molten metal through ladle. The demand for improved values of permeability and mould hardness depends on systematic study and analysis of influencing variables namely grain fineness number, setting time, percent of resin and hardener. Try-error experiment methods and analysis were considered impractical in actual foundry practice due to the associated cost. Experimental matrices of central composite design allow conducting minimum experiments that provide complete insight of the process. Statistical significance of influencing variables and their interaction were determined to control the process. Analysis of variance (ANOVA) test was conducted to validate the model statistically. Mathematical equation was derived separately for mould hardness and permeability, which are expressed as a non-linear function of input variables based on the collected experimental input-output data. The developed model prediction accuracy for practical usefulness was tested with 10 random experimental conditions. The decision variables for higher mould hardness and permeability were determined using desirability function approach. The prediction results were found to be consistent with experimental values.

Słowa kluczowe

EN

mould hardness; phenol-formaldehyde resin; permeability; desirability function approach; design of experiments

PL

masy formierskie; żywica fenolowo-formaldehydowa; przepuszczalność; twardość; optymalizacja

• Wydawca: Komisja Odlewnictwa Polskiej Akademii Nauk Oddział w Katowicach
• Czasopismo: Archives of Foundry Engineering
• Rocznik: 2017
• Tom: Vol. 17, iss. 2
• Strony: 162--170
• Opis fizyczny: Bibliogr. 21 poz., il., rys., tab.

Twórcy

autor

Chate G. R.

• Dept. of Industrial and Production Engineering, KLS Gogte Institute of Technology, Belagavi-59008, India

autor

Patel M. G. C.

• Dept. of Mechanical Engineering, Sahyadri College of Engineering and Management, Mangalore-575007, India

autor

Parappagoudar M. B.

• Dept. of Mechanical engineering, Sanjeevan Engineering and Technology Institute, Panhal, Kolhapur-416201, India

autor

Deshpande A. S.

• Dept. of Industrial and Production Engineering, KLS Gogte Institute of Technology, Belagavi-59008, India

Bibliografia

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• [2] Saikaew, C. & Wiengwiset, S. (2012). Optimization of moulding sand composition for quality improvement of iron castings. Applied Clay Science. 67, 26-31.
• [3] Parappagoudar, M.B., Pratihar, D.K. & Datta, G.L. (2013). Linear and non-linear statistical modelling of green sand mould system. International Journal of Cast Metals Research. 20(1), 1-13.
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• [16] Parappagoudar, M.B., Pratihar D.K. & Datta. G.L. (2007). Linear and non-linear statistical modelling of green sand mould system, International Journal of Cast Metals Research. 20(1), 1-13.
• [17] Parappagoudar, M.B., Pratihar D.K. & Datta, G.L. (2008). Linear and non-linear modeling of cement-bonded moulding sand system using conventional statistical regression analysis, Journal of Materials Engineering Performance. 17(4), 472-481.
• [18] Danko, R., Gorny, M., Holtzer, M. & Zymankowska-Kumon, S. (2014). Effect of the quality of furan moulding sand on the skin layer of ductile iron castings, ISIJ International. 54(6), 1288-1293.
• [19] Kumar, A. & Singh, J. (2011). Optimization of sand castng process parameters for ferrous material by using design of experiments, International Journal on Emerging Technologies. 2(2), 122-127.
• [20] Saikaew, C. & Wiengwiset, S. (2012). Optimization of moulding sand composition for quality improvement of iron castings, Applied Clay Science. 67-68, 26-31.
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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)