Study on the Approach of Deformation Path Control Using Numerical Simulation and Neural Network

Jian Jun Wu

doi:10.4028/www.scientific.net/MSF.532-533.632

Paper Titles

Research on the Chatter Suppression During Machining Thin-Walled Complex Blades
p.616

Studies on the Solid Conveying Process in Micro Injection Molding Machine
p.620

Effects of Surface Conditions on Rheological Properties and Phase Orientation of Sheared LCP Melts in Nanochannels by MD Studies
p.624

Reconfiguration Methods for Exception Handling in Reconfigurable Manufacturing Systems
p.628

Study on the Approach of Deformation Path Control Using Numerical Simulation and Neural Network
p.632

Study of the Classification of Cutting Forces and the Build of Accurate Milling Force Model in End Milling
p.636

Study on Formalizable Aircraft Assembly Process Planning Knowledge
p.640

Tool Wear and Surface Integrity in High Speed Milling of a Near Alpha Titanium Alloy
p.644

Damage Analysis of Particulate Polymer Composites Based Structure by Using Micro-Meso-Macro Finite Element Approach
p.648

HomeMaterials Science ForumMaterials Science Forum Vols. 532-533Study on the Approach of Deformation Path Control...

Study on the Approach of Deformation Path Control Using Numerical Simulation and Neural Network

Abstract:

It is very important to establish the control model for deformation path during the process of metal forming. Using the techniques of Artificial Neural Network(ANN) and numerical simulation, a new approach controlling deformation path based on the identification of material parameter is proposed. In this approach, the identification of material parameter value m and the control of deformation path proceed one by one in each loading stage. The identification of material parameter is finished by ANN using the experimental strain increments, loading increments and material stresses, after that, we can get loading increments for the next deformation stage by the ANN trained by material stresses, objective strain increments and the identified value m. By tension and torsion test of thin walled tube on MTS testing machine, the experimental strain path was obtained and compared with objective one. The results of this comparison validate the proposed approach for the deformation path control.