Excerpt from the January-March 2014 International Journal of Advanced Engineering Technology article by Raghwendra Banchhor, S.K. Ganguly.
Among the industrial activities, sand casting remains one of the most complex and indefinite processes. Due to the specific relationship between casting defects and green sand properties, it is imperative to control many green sand characteristics that influence casting quality. The traditional trial-and-error method based on know-how and experience has many disadvantages. These include being nonsystematic, time-consuming, error-prone, and require long durations of experimentation. There is a need to replace this traditional approach to produce higher quality casting products within reasonable periods making better use of statistics, artificial intelligence knowledge acquisition neural networks, and data mining tools.
This paper extensively reviews published research on the green sand casting process. The riser design, gating system, molding sand, oxidation and deformation of casting during heat treatment, and machining allowance effects on the economical manufacturing of quality castings were reviewed. Determining the optimal process parameter setting will significantly improve the mold yield, output ratio of metal, shorten manufacturing period, save energy and resource, reduce pollution, and improve competitiveness.
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