Halkaci, MehmetHalkaci, H. SelcukTurkoz, MevlutDaghan, Behcet2020-03-262020-03-262012978-3-03785-502-71660-9336https://dx.doi.org/10.4028/www.scientific.net/AMM.217-219.1602https://hdl.handle.net/20.500.12395/276982nd International Conference on Advanced Design and Manufacturing Engineering (ADME 2012) -- AUG 16-18, 2012 -- Taiyuan, PEOPLES R CHINAFormability of sheet metals can be increased by Hydromechanical Deep Drawing (HDD) process. Formability of the deep drawn cups is generally assessed by Limiting Drawing Ratio (LDR) which is the ratio of the blank diameter to punch diameter. In order to increase LDR by HDD, process parameters of the HDD should be arranged properly. Arranging of the process parameters requires a great knowledge about the effects of the process parameters to certain performance criteria of the process. Determining of the effects of the process parameters by full factorial experiments is a hard duty. Hence certain statistical methods that decrease the number and the cost of the experiments and reduce the time should be used to find effective parameters and their appropriate levels. In this study orthogonal experimental array was applied and effective process parameters were determined by analyzing predicted data with Taguchi's robust parameter design method and ANOVA method. Then the results were compared with each other to evaluate differences between the methods. By using the appropriate levels of the parameters the LDR of AA 5754 aluminum alloy which uses in automotive industry intensely was determined.en10.4028/www.scientific.net/AMM.217-219.1602info:eu-repo/semantics/closedAccessFormabilitystrain rate sensitivityAA 5754Conference Object217-2191602+N/AWOS:000319169600329N/A