@article{(Open Science Index):https://publications.waset.org/pdf/8600,
	  title     = {Optimization of Process Parameters of Pressure Die Casting using Taguchi Methodology},
	  author    = {Satish Kumar and  Arun Kumar Gupta and  Pankaj Chandna},
	  country	= {},
	  institution	= {},
	  abstract     = {The present work analyses different parameters of pressure die casting to minimize the casting defects. Pressure diecasting is usually applied for casting of aluminium alloys. Good surface finish with required tolerances and dimensional accuracy can be achieved by optimization of controllable process parameters such as solidification time, molten temperature, filling time, injection pressure and plunger velocity. Moreover, by selection of optimum process parameters the pressure die casting defects such as porosity, insufficient spread of molten material, flash etc. are also minimized. Therefore, a pressure die casting component, carburetor housing of aluminium alloy (Al2Si2O5) has been considered. The effects of selected process parameters on casting defects and subsequent setting of parameters with the levels have been accomplished by Taguchi-s parameter design approach. The experiments have been performed as per the combination of levels of different process parameters suggested by L18 orthogonal array. Analyses of variance have been performed for mean and signal-to-noise ratio to estimate the percent contribution of different process parameters. Confidence interval has also been estimated for 95% consistency level and three conformational experiments have been performed to validate the optimum level of different parameters. Overall 2.352% reduction in defects has been observed with the help of suggested optimum process parameters.
},
	    journal   = {International Journal of Industrial and Manufacturing Engineering},
	  volume    = {6},
	  number    = {8},
	  year      = {2012},
	  pages     = {1484 - 1488},
	  ee        = {https://publications.waset.org/pdf/8600},
	  url   	= {https://publications.waset.org/vol/68},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 68, 2012},
	}