Utilizing of the Statistical Analysis for Evaluation of the Properties of Green Sand Mould

• Autorzy: Abdulamer Dheya

Identyfikatory

DOI

10.24425/afe.2023.146664

• Języki publikacji: EN

Abstrakty

EN

A statistical approach was conducted to investigate effect of independent factors of the mixing time compactability and bentonite percentage on dependent variables of permeability, compression and tensile strength of sand mould properties. Using statistical method save time in estimating the dependent variables that affect the moulding properties of green sand and the optimal levels of each factor that produce the desired results. The results yielded indicate that there are variations in the effects of these factors and their interactions on different properties of green sand. The outcomes obtained a range of permeability values, with the highest and lowest numbers being 125 and 84. The sand exhibited high values of tensile and compressive strength measuring at 0.33N/cm2 and 17.67N/cm2 . Conversely it demonstrated low levels of tensile and compressive strength reaching 0.14N/cm2 and 9.32N/cm2 . These results suggest that the moulding factors and their interactions have an important role in determining properties of the green sand. ANOVA was used to assess effect of various factors on different properties of the green sand. The results obtained suggest that compactability factor play a significant effect on permeability, the mixing time or bentonite factor has a significant effect on the compressive strength and mixing time or compactability factor has a significant impact on the tensile strength with a significance level lower than 5%. It is found that neither the mixing time nor the amount of bentonite used in the green sand mix has a significant impact on its permeability. Compactability of the green sand does not has a significant effect on the compressive strength. Bentonite used in green sand mix does not have a significant impact on its tensile strength.

Słowa kluczowe

EN

green sand; mixing time; compactability; compressive strength; ANOVA

PL

masa odlewnicza; czas mieszania; zagęszczalność; wytrzymałość na ściskanie; ANOVA

• Wydawca: Komisja Odlewnictwa Polskiej Akademii Nauk Oddział w Katowicach
• Czasopismo: Archives of Foundry Engineering
• Rocznik: 2023
• Tom: Vol. 23, iss. 3
• Strony: 67--73
• Opis fizyczny: Bibliogr. 16 poz., fot., tab., wykr.

Twórcy

autor

Abdulamer Dheya

• University of Technology, Iraq

• https://orcid.org/0000-0002-3579-4467

Bibliografia

• [1] Chate, M.G.R. Patel, M.G.C. Parappagoudar, M.B. & Deshpande, A.S. (2017). Modeling and optimization of Phenol Formaldehyde Resin sand mould system. Archives of Foundry Engineering. 17(2), 162-170. DOI: https://doi.org/10.1515/afe-2017-0069.
• [2] Saikaew, C. & Wiengwiset, S. (2012).Optimization of molding 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.
• [3] Beňo, J. Poręba, M. & Bajer, T. (2021). Application of non-silica sands for high quality castings. Archives of Metallurgy and Materials. 66(1), 25-30. DOI: 10.24425/amm.2021.134754.
• [4] Abdulamer, D. & Kadauw, A. (2019). Development of mathematical relationships for calculating material-dependent flow ability of green molding sand. Journal of Materials Engineering and Performance. 28(7), 3994-4001. https://doi.org/10.1007/s11665-019-04089-w.
• [5] Rundman, K.B. (2000). Metal casting. Department of Material Science and Engineering Michigan Technology University.
• [6] Anwar, N., Sappinen, T., Jalava, K., & Orkas, J, (2021). Comparative experimental study of sand and binder for flow ability and casting mold quality. Advanced Powder Technology. 32(6), 1902-1910, https://doi.org/10.1016/j.apt.2021.03.040.
• [7] Ihom, A.P., Olubajo, O.O. (2002). Investigation of bende ameki clay foundry properties and its suitability as a binder for sand casting, NMS proceedings 19th AGM.
• [8] Ihom, A.P. Yaro, S.A. & Aigbodion, V.S. (2006). Application of multiple regression - model to the study of foundry clay bonded sand mixtures. JICCOTECH. 2, 161-168.
• [9] Abdulamer, D. (2021). Investigation of flow ability of the green sand mould by remote control of portable flow ability sensor. Archives of Materials Science and Engineering. 112(2), 70-76, DOI: https://doi.org/10.5604/01.3001.0015.6289.
• [10] Abdulamer, D. & Kadauw, A. (2021). Simulation of the moulding process of bentonite-bonded green sand, Archives of Foundry Engineering. 21(1), 67-73. DOI:10.24425/afe.2021.136080.
• [11] Jain, R.K. (2009). Production Technology. Delhi: Khana Publishers.
• [12] Ihom, A.P. (2012). Foundry Raw Materials for Sand Casting and Testing Procedures. Nigeria: A2P2 Transcendent Publishers.
• [13] Ihom, A.P., Agunsoye, J., Anbua, E.E. & Bam, A. (2009). The use of statistical approach for modeling and studying the effect of ramming on the mould parameters of Yola natural sand. Nigerian Journal of Engineering. 16(1), 186-192.
• [14] Kothari, C.R., Garg, G. (2014). Research Methodology: Methods and Techniques. New Delhi: New Age International (P) Ltd., Publishers.
• [15] Fatoba, O.S., Adesina, O.S., Farotade, G.A. & Adediran, A.A. (2017). Modelling and optimization of laser alloyed AISI 422 stainless steel using taguchi approach and response surface model (RSM). Current Journal of Applied Science and Technology, 23(3), 1-19. DOI:10.9734/CJAST/2017/24512.
• [16] 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.2023.14428.