Comparison of multivariate methods for robust parameter design in sheet metal spinning

Abstract

SUMMARYSheet metal spinning is a very complex forming process with a large number of quality characteristics. Within the scope of a joint project of the Department of Statistics and the Chair of Forming Technology the impact of process parameters (design factors) on important quality characteristics has been investigated both theoretically and experimentally. In the past, every response has been treated individually and uncontrollable disturbances (noise factors) have been neglected. Now this approach has been extended to robust multiresponse parameter design. For this, a review of common multivariate approaches for robust parameter design has been carried out, which also leads to the proposal of some new variants. In addition to the theoretical comparison, the methods were applied to data gained in the sheet metal spinning process. The obtained results were evaluated in terms of applicability, limitations and quality accuracy. Practical experiments confirmed the high degree of efficiency that the finally proposed method based on desirabilities promises.

Parametric toolpath design in metal spinning

“…For this reason, Kleiner et al [6] and Auer et al [7] used a statistical approach, with circular toolpaths with a range of curvatures. Kleiner et al [6] used human judgement to grade the severity of wrinkles from 1 to 6 and optimised the first forward and backward pass.…”

“…Kleiner et al [6] used human judgement to grade the severity of wrinkles from 1 to 6 and optimised the first forward and backward pass. Auer et al [7] defined a window of toolpaths that avoid wrinkling, and optimised them to minimise thinning. This led to an offline toolpath planning algorithm [8] which is practical, but limited to the parameter region of the trials.…”

Finite element simulation of the one-pass inner spinning process of curved generatrix cone cylindrical parts and analysis of their microstructure

“…4,5 Spinning technology, which is an important part in plastic processing fields, is widely used in the forming process of conical thin-walled shell parts. 6–9…”

Robust design and optimization of forming processes

“…The optimal design variable settings are identified by maximizing the SNR following a 'pick-the-winner' approach. Applications in the field of metal forming processes are presented in [12,69,80,86,99,106,127].…”