Taguchi grey relational analysis for parametric optimization of incremental forming process of bimetallic Steel-CP Titanium composite sheet

Abstract

Abstract Single point incremental forming (SPIF) remains a new technique of sheet metal forming process in which can produce various shapes from different sheet alloys in small series. However, when the SPIF parameters are not sufficiently chosen, some forms of incremental sheet forming part quality can be inacceptable. This work aims to optimize geometry properties and forming forces of Steel/CP-Ti bimetal sheet formed by SPIF. Three levels of step size, the specimen thickness and the wall angle have been considered as the input process parameters. The influential process parameters on the thinning rate, forming forces and the equivalent plastic deformation have been recognized using of statistical tool. In this idea, a new current method, Taguchi grey relational analysis has been used to numerical simulations results in order to optimize incremental forming process parameters. The Taguchi-based Grey optimization of the single point incremental forming process is given for the determination of approving a synthesis of optimal process parameters such as the wall angle, the initial thickness, and the step size tool. Moreover, the individual effect factor on the considered output (Thinning Rate, Fz and PPEQ) was resolute with Analysis of variance (ANOVA). The response table and the grey relational grade for each level of the process parameters has been established.