Numerical and experimental investigation of dynamic tube hydroforming to examine the prediction on it by genetic programming

PurposeThe process of hydroforming is defined as the formation of parts into the internal mold design using internal pressure. This process can extensively reduce parts and secondary operations, and adoption to the loading path is one of its most essential points. The purpose of this paper is to add...

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Bibliographic Details
Published inInternational journal of structural integrity Vol. 14; no. 2; pp. 293 - 313
Main Authors Mohseni, Arman, Rezapour, Javad, Gohari Rad, Sina, Rajabiehfard, Reza
Format Journal Article
LanguageEnglish
Published Bingley Emerald Publishing Limited 21.03.2023
Emerald Group Publishing Limited
Subjects
Drop hammers
Dynamic loads
Energy
Finite element method
Fluid flow
Genetic algorithms
Hammers
Hydroforming
Internal pressure
Kinetic energy
Mathematical programming
Metal forming
Methods
Numerical analysis
Simulation
Simulation models
Velocity
Coupled Eulerian–Lagrangian
Hydroforming
Genetic programming
Axial force
Finite element
Internal pressure
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Summary:PurposeThe process of hydroforming is defined as the formation of parts into the internal mold design using internal pressure. This process can extensively reduce parts and secondary operations, and adoption to the loading path is one of its most essential points. The purpose of this paper is to address these issues.Design/methodology/approachA dynamic loading path was taken into account in the current study, and a drop hammer was employed for this purpose, decreasing the time and requiring less number of systems.FindingsOne of the main observations of this research is that selecting side punches with a smaller central hole radius is proportional to the kinetic energy and the amount of fluid. Moreover, it can be effective in achieving the optimal loading path.Originality/valueIn addition to experiments for numerical analyses, the finite element simulation model was provided via Abaqus software in which the Eulerian–Lagrangian coupling method was utilized for evaluating the tube forming process through repeating the fluid flow formation because of the effect. Moreover, the genetic programming model was efficient for determining the most suitable input parameters regarding prediction for the minimum thickness which examined the efficiency of the process and presented a mathematical relationship.
ISSN:1757-9864
1757-9872
DOI:10.1108/IJSI-12-2022-0144