Optimization of Sheet Metal Blanking Process Parameters by using Taguchi Method: A Review

Mechanical Engineering

Metal blanking is a widely used process in high volume production of sheet metal components. Blanking consists of a metal forming operation characterized by complete material separation. Low carbon steel is a very common material used in fabrication of sheet metal components. The experimental studies are conducted under varying sheet thickness, clearance and wear radius & Shear Angle. The Main Objectives is to present the development of a model to predict the shape of the cut side. The model investigates the effect of potential parameters influencing the blanking process their interactions. This helped in choosing the process leading parameters for two identical product manufactures from two different materials blanked with reasonable quality on the same Tool/Die. Optimization is one of the techniques used in manufacturing sector to arrive for the best manufacturing condition. This is an essential need of industries towards manufacturing of quality product at lower cost. The main objective of this study is to treasure optimal parameters such as sheet thickness, clearance & wear radius in blanking to find out the variations in three performance characteristic such as burr height, accuracy & circularity value for blanking of Aluminum. Based on experiments are conducted on L-9 orthogonal array, analysis has been carried on by using Grey Relational Analysis, a Taguchi method. Response tables &graphs are used to find optimal level of parameters in blanking process. The obtained results shows that the Taguchi Grey Relational Analysis is being effective technique to optimize the parameters for Blanking Process In this work involved some computational issues on modeling blanking processes and investigates the effect of clearance between punch and die in the stress distribution during the penetration phase of cutting process and deformation during blanking process using FEA.

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