Predictive modelling for incremental cold flow forming: An integrated framework for fundamental understanding and process optimisation

  • Amir H. Roohi (Creator)
  • Paul Blackwell (Supervisor)
  • Daniele Barbera (Creator)

Dataset

Description

The project "Predictive Modelling for Incremental Cold Flow Forming" presents an innovative and comprehensive framework that combines experimental techniques, numerical modelling, and material characterization to achieve accurate predictions of material behaviour during the flow forming process. This integrated approach aims to enhance the fundamental understanding of incremental cold flow forming and optimize the process for various applications.
Moreover, numerical modelling techniques, such as finite element analysis (FEA), are employed to simulate several cyclic plasticity problems using the obtained material models. The FEA simulations enable the visualization of the complex deformation patterns, stress distributions, and strain evolution during the forming operation. By comparing the numerical predictions with the experimental results, the accuracy and reliability of the material models can be assessed and refined.
The integrated framework developed in this project not only provides insights into the fundamental aspects of incremental cold flow forming but also offers a powerful tool for process optimization.
Date made available7 Mar 2024
PublisherUniversity of Strathclyde

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