Modelling of Fine Blanking Process

During the past decade, one clear trend has been observed in the production of metal components. That is every industry work hard to minimize the time required to launch the new product in the market and reduce the cost of operation to maximize profit. As blanking process is the most widely used separation technique in the world but the analysis of blanking process is not done up to that instinct. And also in present day product should be dimensionally so accurate produced by blanking processes, hence it is necessary to study the factors or parameter which are directly or indirectly affect the dimensional tolerance of the blanking product. Metal blanking is a widely used process in high volume production of sheet metal components but after blanking, burr formation at edges of the product is observed and it is not match with the close dimensional tolerance and hence it is need to do the debarring process which is increasing the cost of production and time require for production. Fine blanking is process which helps us to minimize the burr size and like conventional blanking process there are so many parameter which influence the burr height of the product so our main objective of this is to develop a model to predict optimum value of such parameter which influence the burr height of product in fine blanking process and developed the model. The model investigates the effect of potential parameters influencing the blanking process and their interactions. This helped in choosing the process leading parameters for two identical products manufactured from two different materials blanked with a reasonable quality on the same mold.