Off‐line quality control for V‐process castings

Abstract

In the present work Taguchi's approach has been applied to the V-process castings of Al-11 per cent Si alloy to acertain the most influential control factors which will provide better and consistent surface finish to the castings regardless of the noise factors present.The control factors of the V-process that may affect the quality of the castings are the molding sand, vibration frequency, vibrating time, degree of vacuum imposed, and pouring temperature.In order to understand how these factors affect the surface roughness of the V-process castings, response surface methodology has been applied, and to obtain the optimal setting of the control factors Taguchi's method has been used.It is found that the pouring temperature has a significant effect on the surface roughness of Al-11 per cent Si alloy castings made by a V-process. Thus the pouring temperature must be kept at the lower level. All other factors are insignificant. Therefore, any setting of the insignificant factors/ variables that give the minimum cost can be used.

Mathematical Modelling for Surface Hardness in Vacuum Moulding of Al-Al₂O₃ MMC

“…On the basis of this model, Singh and Singh (2011) studied the relationships between SH and controllable process parameters [14]. These relationships agree well with the trends observed by experimental observations made otherwise [8][9][10][11][12][13].…”

“…The process uses a specially designed, strong, highly flexible polymer film to seal the open ends of the sand mould and form the mould cavity [8]. The literature review reveals that lot of work has been reported on optimization of VM process [9][10][11][12][13]. Various process parameters like: vibration frequency, pouring temperature and plastic film thickness for the sound casting produced by VM process have been reported.…”

Optimization of the aluminium die casting process based on the Taguchi method

“…The selected casting process parameters, along with their ranges, are given in Table 1. Experience reveals that non-linear behaviour of the parameters of a die casting process can be determined only if more than two levels are used [12]. Therefore, each parameter was analysed at three levels.…”

Numerical optimization of gating system parameters for a magnesium alloy casting with multiple performance characteristics

“…Dr. Genichi Taguchi has introduced several new statistical tools and concepts of quality improvement that depend heavily on the statistical theory of experimental design (Taguchi, 1998;Byrne and Taguchi, 1987). Some applications of Taguchi's methods in the foundry industry have shown that the variation in casting quality caused by uncontrollable process variables can be minimized (Johnston, 1989;Kumar and Gaindhar, 1995;Barua et al, 1997). The casting process has a large number of parameters that may affect the quality of castings.…”