Optimisation of multi-point forming process parameters

The need for sheet metal forming using reconfigurable dies has increased due to rapid changes in part design to meet customer requirements, especially in the automotive industry. Reconfigurable dies have relatively low manufacturing cost compared with solid dies, and the same tool can be readily changed to produce different parts. Previous investigations have focused on avoiding defects without taking into account the effects of process on the quality characteristics of fabricated parts. This study investigated the influence of parameters, such as the elastic cushion thickness, coefficient of friction, pin size and radius of curvature, on the quality of parts formed in a flexible multi-point stamping die. The aim was to determine the optimum values of those parameters. Finite element modelling was employed to simulate the multi-point forming of hemispherical parts. Using the response surface method, the effects of process parameters on wrinkling, deviation from the target shape and thickness variation were investigated and the process parameters yielding the best product quality characteristics were obtained. The results show that pin size and radius of curvature have the greatest influence on wrinkling and deviation between formed and target shapes, while coefficient of friction, pin size and radius of curvature significantly affect thickness variation.

[1]  Beom-Soo Kang,et al.  Improvement of formability for multi-point bending process of AZ31B sheet material using elastic cushion , 2011 .

[2]  Robert M. Caddell,et al.  Metal Forming: Frontmatter , 2011 .

[3]  Shaohui Wang,et al.  Numerical investigation of multi-point forming process for sheet metal: wrinkling, dimpling and springback , 2008 .

[4]  W. Hosford,et al.  Metal Forming: Mechanics and Metallurgy , 1993 .

[5]  P. Cekan,et al.  Numerical Simulations in Reconfigurable Multipoint Forming , 2008 .

[6]  Ming Zhe Li,et al.  The analyse on the process of multi-point forming for dish head , 2007 .

[7]  Samir Lemes,et al.  Using buckling analysis to predict wrinkling in incremental sheet metal forming , 2008 .

[8]  K. Essa,et al.  Manufacturing of Ti–6Al–4V Micro‐Implantable Parts Using Hybrid Selective Laser Melting and Micro‐Electrical Discharge Machining , 2016 .

[9]  Mingzhe Li,et al.  Research on the process of flexible blank holder in multi-point forming for spherical surface parts , 2017 .

[10]  Beom-Soo Kang,et al.  Surrogate-based multi-point forming process optimization for dimpling and wrinkling reduction , 2016 .

[11]  Peter Hartley,et al.  Optimization of conventional spinning process parameters by means of numerical simulation and statistical analysis , 2010 .

[12]  Zhongyi Cai,et al.  Numerical investigation of the influence of punch element in multi-point stretch forming process , 2010 .

[13]  Zhongyi Cai,et al.  Numerical simulation for the multi-point stretch forming process of sheet metal , 2009 .

[14]  William G. Marchal,et al.  Statistical techniques in business and economics , 1991 .

[15]  David E. Hardt,et al.  Design and analysis of reconfigurable discrete dies for sheet metal forming , 1998 .

[16]  Moataz M. Attallah,et al.  Optimisation of selective laser melting for a high temperature Ni-superalloy , 2015 .

[17]  Robert M. Caddell,et al.  Metal Forming: Index , 2011 .

[18]  Wei Wang,et al.  Selective laser melting of AlSi10Mg alloy: Process optimisation and mechanical properties development , 2015, Materials & Design (1980-2015).

[19]  Beom-Soo Kang,et al.  Study on relationship between design parameters and formability in flexible stretch forming process , 2012 .