Cloud FEA of hot stamping processes using a software agnostic platform

Mingqing Zhu, Yixian C. Lim, Zhaoheng Cai, Xiaochuan Liu, Saksham Dhawan, Jun Liu, Denis J. Politis

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
13 Downloads (Pure)


Finite element analysis (FEA) of a hot stamping process demands the implementation of accurate material properties and boundary conditions to precisely predict and evaluate the post-form quality of a component. A software agnostic platform was developed to provide cloud FEA of a hot stamping process in three stages, namely, pre-FE modelling, FE simulation and post-FE evaluation. When the desired materials and process window were uploaded on the platform, the flow stress, material properties, interfacial heat transfer coefficient (IHTC) and friction coefficient were predicted by the model-driven functional modules and then generated in the form of compatible packages that could be implemented into the desired FE software. Subsequently, the FE simulation was performed either locally or remotely on the developed platform. When the simulated evolutionary thermomechanical characteristics of the formed component were uploaded, the formability, quenching efficiency and post-form strength could be predicted and then demonstrated on a dedicated visualiser on the developed platform. Cloud FEA of two different hot stamping technologies was conducted to demonstrate the function of the developed platform, showing an error of less than 10%.

Original languageEnglish
Pages (from-to)3445-3458
Number of pages14
Journal The International Journal of Advanced Manufacturing Technology
Early online date18 Jan 2021
Publication statusPublished - 28 Feb 2021


  • aluminium alloy
  • cloud FEA
  • hot stamping
  • model-driven functional module


Dive into the research topics of 'Cloud FEA of hot stamping processes using a software agnostic platform'. Together they form a unique fingerprint.

Cite this