Prediction and control of pillow defect in single point incremental forming using numerical simulations

Pillows formed at the center of sheets in Single point incremental forming (SPIF) are fabrication defects which adversely affect the geometrical accuracy and formability of manufactured parts. This study is focused on using FEA as a tool to predict and control pillowing in SPIF by varying tool size and shape. 3D Finite element analysis (FEA) and experiments are carried out using annealed Aluminum 1050. From FEA, it is found out that the stress/strain state in the immediate vicinity of the forming tool in the transverse direction plays a determinant role on sheet pillowing. Furthermore, pillow height increases as compression in the sheet-plane increases. The nature of in-plane stresses in the transverse direction varies from compressive to tensile as the tool-end geometry is changed from spherical to flat. Additionally, the magnitude of corresponding in-plane stresses decreases as the tool radius increases. According to measurements from the FEA model, flat end tools and large radii both retard pillow formation. However, the influence of changing tool end shape from hemispherical to flat is observed to be more important than the effect of varying tool radius, because the deformation zone remains in tension in the transverse direction while forming with flat end tools. These findings are verified by conducting a set of experiments. A fair agreement between the FEM and empirical results show that FEM can be employed as a tool to predict and control the pillow defect in SPIF.

[1]  Markus Bambach,et al.  Strategies to improve the geometric accuracy in asymmetric single point incremental forming , 2009, Prod. Eng..

[2]  Joost Duflou,et al.  Twist revisited: Twist phenomena in single point incremental forming , 2010 .

[3]  Niels Bay,et al.  Failure mechanisms in single-point incremental forming of metals , 2011 .

[4]  N. Hayat,et al.  Forming Parameters and Forming Defects in Incremental Forming of an Aluminum Sheet: Correlation, Empirical Modeling, and Optimization: Part A , 2011 .

[5]  Joost Duflou,et al.  Model Identification and FE Simulations Effect of Different Yield Loci and Hardening Laws in Sheet Forming , 2007 .

[6]  Johan Verbert,et al.  Laser Assisted Incremental Forming: Formability and Accuracy Improvement , 2007 .

[7]  Ghulam Hussain,et al.  The performance of flat end and hemispherical end tools in single-point incremental forming , 2010 .

[8]  R. J. Alves de Sousa,et al.  On the use of EAS solid‐shell formulations in the numerical simulation of incremental forming processes , 2011 .

[9]  Bert Lauwers,et al.  Tool path compensation strategies for single point incremental sheet forming using multivariate adaptive regression splines , 2013, Comput. Aided Des..

[10]  Lander Galdos,et al.  Optimization of Geometrical Accuracy of an Industrial Shape in Single Point Incremental Forming , 2008 .

[11]  Markus Bambach,et al.  Modeling of Optimization Strategies in the Incremental CNC Sheet Metal Forming Process , 2004 .

[12]  Gao Lin,et al.  Improving profile accuracy in SPIF process through statistical optimization of forming parameters , 2011 .

[13]  Wei Zeng,et al.  Web-service-based parametric design reuse for parts , 2010 .

[14]  Peter Hartley,et al.  An assessment of various process strategies for improving precision in single point incremental forming , 2011 .

[15]  R. J. Alves de Sousa,et al.  Finite element analysis of incrementally formed parts , 2011 .

[16]  A. Iqbal,et al.  Forming Parameters and Forming Defects in Incremental Forming Process: Part B , 2014 .

[17]  F. Vakili-Tahami,et al.  Creep analysis of adhesively bonded single lap joint using finite element method , 2014 .

[18]  Paulo A.F. Martins,et al.  Revisiting the fundamentals of single point incremental forming by means of membrane analysis , 2008 .

[19]  Xiao-hui Cui,et al.  Springback prediction for incremental sheet forming based on FEM-PSONN technology , 2013 .