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Abstract

Moulding properties of Isasa River Sand bonded with Ipetumodu clay (Ife-North Local Government Area, Osun State, Nigeria) were

investigated. American Foundry men Society (AFS) standard cylindrical specimens 50mm diameter and 50mm in height were prepared

from various sand and clay ratios (between 18% and 32%) with 15% water content. The stress-strain curves were generated from a

universal strength testing machine. A flow factor was calculated from the inclination of the falling slope beyond the maximum

compressive strength. The result shows that the flowability of the samples increases from 18% to 26% clay content, its maximum value

was attained at 26% and then it decreases from 30% to 32% clay content. The green compressive strength, dry compressive strength and

air permeability values obtained from the mould samples were in accordance with standard values used in foundry practice. The x-ray

diffraction test shows that the sand contains silicon oxide (SiO2), Aluminium oxide (Al2O3), and Aluminium silicate (Al6Si2O13). The

mould samples were heated to a temperature of 1200 o

C to determine the sintering temperature; fussion did not take place at this

temperature. The results showed that the sand and clay mixture can be used to cast ferrous and non-ferrous alloys.

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Authors and Affiliations

A.O. Oke
B.V. Omidiji
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Abstract

Parameters of the moulding process in foundry are usually determined by trial-and-error method, and this way contributes to time taken and adds further cost for production sand. The present work represents an attempt to optimize sand moulding parameters in terms of compactability, compaction time, and air pressure, and to study effect of these factors on the green sand flowability using L4 design of experiments. Regression model, Taguchi method, and experimental verification were used to investigate flow property of sodium bentonite- bonded BP-quartz sand for sand moulding.
Analysis of variance (ANOVA) was employed to measure significance and contributions of different moulding variables on flowability of green sand. The values obtained showed that the compaction time factor significantly affected flowability of green sand while compactability and air pressure have slight effects. The comparison results of Taguchi method, regression predictions and experiments exhibited good agreement.
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Bibliography


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[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.

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[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.

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Authors and Affiliations

Dheya Abdulamer
1
ORCID: ORCID
Ali A. Muhsan
1
ORCID: ORCID
Sinan S. Hamdi
1
ORCID: ORCID

  1. University of Technology- Iraq
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Abstract

Flowability of fine, highly cohesive calcium carbonate powder was improved using high energy mixing (dry coating) method consisting in coating of CaCO3 particles with a small amount of Aerosil nanoparticles in a planetary ball mill. As measures of flowability the angle of repose and compressibility index were used. As process variables the mixing speed, mixing time, and the amount of Aerosil and amount of isopropanol were chosen. To obtain optimal values of the process variables, a Response Surface Methodology (RSM) based on Central Composite Rotatable Design (CCRD) was applied. To match the RSM requirements it was necessary to perform a total of 31 experimental tests needed to complete mathematical model equations. The equations that are second-order response functions representing the angle of repose and compressibility index were expressed as functions of all the process variables. Predicted values of the responses were found to be in a good agreement with experimental values. The models were presented as 3-D response surface plots from which the optimal values of the process variables could be correctly assigned. The proposed, mechanochemical method of powder treatment coupled with response surface methodology is a new, effective approach to flowability of cohesive powder improvement and powder processing optimisation.

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Authors and Affiliations

Karolina Leś
Karol Kowalski
Ireneusz Opaliński
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Abstract

In this work Response Surface Methodology and Central Composite Rotatable Design were applied to find high-energy mixing process parameters enabling flow properties of highly cohesive Disulfiram powder to be improved. Experiments were conducted in a planetary ball mill. The response functions were created for an angle of repose and compressibility index as measures of powder flowability. To accomplish an optimisation procedure of mixing process parameters according to a desirability function approach, the results obtained earlier for potato starch, as another cohesive coarse powder, were also employed. Coupling these results with those achieved in a previous work, it was possible to develop some guidelines of practical importance allowing mixing conditions to be predicted towards flow improvement of fine and coarse powders.
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Authors and Affiliations

Karolina M. Leś
1
ORCID: ORCID
Ireneusz Opaliński
1
ORCID: ORCID

  1. Department of Chemical and Process Engineering, Rzeszow University of Technology, al. Powstanców Warszawy 6, 35-959 Rzeszow, Poland

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