Multivariate Optimization of Conventional Spinning Process Parameters

Metal spinning is a forming process that allows production of hollow, axially symmetric sheet metal components. One of the main problems of the metal spun parts production is the design of the process plan in order to achieve the appropriate properties of spun part surface and near-surface layers. Research in sheet metal spinning has increased due to a greater demand, especially in the transportation industries, for parts with very high strength-to-weight ratios with low cost. Spinning processes are efficient in producing such characteristics and there is great flexibility in the process with a relatively low tool cost. In this paper, the effect of process parameters on the spun part surfaces characteristics, such as radial and longitudinal strain distribution have to be examined. The parts of bowl shapes made of aluminium have been taken into account. Optimization of the process through the use of statistical analysis tools are to be applied for experimentation, analysis and optimization. This will be achieved by generating design of experiments to identify the most critical parameters for product formability and how these critical parameters affect the product quality. Optimization is achieved through Response Surface Methodology.