Deep-drawing of thermoplastic metal-composite structures: Experimental investigations, statistical analyses and finite element modeling

作者：Rajabi A; Kadkhodayan M^*; Manoochehri M; Farjadfar R

来源：Journal of Materials Processing Technology, 2015, 215: 159-170.

DOI：10.1016/j.jmatprotec.2014.08.012

• Deep drawing
• Metal-composite
• Fiber-metal laminate
• Statistical analysis
• Finite element analysis

In this article, the influence of process parameters and type of core materials on deep-drawing of two thermoplastic metal-composites is investigated through the experimental tests, statistical analyses and FE simulation, Metal-composite is a general title which can involve fiber-metal laminates (FMLs) and metal-polymer laminates. The metal-composite laminates are produced by polypropylene (PP) and glass-fiber reinforced polypropylene (GFRP) as the cores and aluminum AA1200-O as the skin layers. Statistical analyses based on Taguchi method are used to reduce the number of experiments and to investigate the effect of process variables on the output results. The results show that the two variables of temperature and blank-holder force have the most influence on the output parameters. Furthermore, they demonstrate that a high interaction between the forming temperature and the blank-holder force is required to remove the wrinkling. The results of performed FE simulation predict the experimental punch force-displacement curves and the location of wrinkles with an adequate accuracy.

• 出版日期2015-1