Modelling of spring back in a laminated composite of SS304/PP/C80 under V-bending using integrating Taguchi, RSM .

Abstract

In the forming operation, the dimensions of the sheet metal component change due to the spring-back effect. sheet metal made of composite materials is widely used in engineering applications, which necessitates the study of the relation of springback behaviour with design and geometrical parameters.

 Modelling of spring back in a laminated composite of SS304/PP/C80 under V-bending using different methods and compare results with  exprimental method and find out optimal solution for minimise springback in a laminated composite of SS304/PP/C80 .

 This work uses experimental and FEA analysis to study the effect of five factors, namely bending angle, sheet thickness, thickness ratio, and tool travel rate on the spring back of a laminated composite of SS304/PP/C80 materials.

 Results obtained by FEA analysis are compared with Experimental results and relative errors are calculated. A maximum of 2.6% relative error occurred which is considerable. A set of 18 experiments are chosen using the experiment design using the  integrating Taguchi method. Further, the regression model is developed using RSM. The RSM model is developed to minimise the spring back by optimisation of the selected five parameters. result obtained from regression analysis has been compared with the result obtained by the experimental method.and concluded  material thickness, material thickness ratio and tool travel as the most influential parameters affecting spring back in laminated composite material.