Tool path optimization for single point incremental sheet forming using response surface method |
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Affiliation: | 1. Advanced Material and Structure Department, Centre de Recherche Public Henri Tudor, 66 rue de Luxembourg, L-4002 Esch-sur-Alzette, Luxembourg;2. Mechanical Engineering and Design Department, Université de Technologie de Belfort–Monbéliard, F-90010 Belfort, France;1. Department of Plasticity Technology, Shanghai Jiao Tong University, 1954 Huashan Rd, Shanghai, 200030, China;2. Department of Mechanical, Materials and Manufacturing Engineering, University of Nottingham, Nottingham, NG7 2RD, UK;1. Department of Industrial Engineering, University of Padova, Padova, Italy;2. Department of Mechanical Engineering (EPSEVG), Tecnofab Group, Universitat Politècnica de Catalunya, Spain;3. Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA |
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Abstract: | Incremental sheet forming (ISF) process is based on localized plastic deformation in a thin sheet metal blank. It consists to deform progressively and locally the sheet metal using spherical forming tool controlled by a CNC machine-tool. Although it is a slow process compared to conventional forming technique such as stamping. The cost reduction linked to the fact that punches and dies are avoided which makes it a very attractive process for small batch production and rapid prototyping. However, ISF process depends strongly on the forming tool path which influences greatly the part geometry and sheet thickness distribution. A homogeneous thickness distribution requires a rigorous optimization of the parameter settings, and an optimal parameterization of the forming strategy. This paper shows an optimization procedure tested for a given forming strategy, in order to reduce the manufacturing time and homogenize thickness distribution of an asymmetric part. The optimal forming strategy was determined by finite element analyses (FEA) in combination with response surface method (RMS) and sequential quadratic programming (SQP) algorithm. |
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