Modeling and Optimization of Pressure Profile in Hydroforming of St12 Conic Part with RSM and Genetic Algorithm

Hamzeh Shahrajabian; Khalil Khalili; M. Soheil Khalili

doi:10.4028/www.scientific.net/KEM.473.587

Paper Titles

Simulation of Hot Sheet Metal Forming Processes Based on a Micro-Structural Constitutive Model
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Continuous Roll Forming Simulation Using Arbitrary Lagrangian Eulerian Formalism
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Prediction of Surface Quality due to Chatter Vibration in Rolling of Thin Steel Strip Using ALE Finite Element Method
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Numerical and Experimental Study of the Effect Pressure Path in Tube Hydroforming Process
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Modeling and Optimization of Pressure Profile in Hydroforming of St12 Conic Part with RSM and Genetic Algorithm
p.587

Parametric Investigation of Circular and Elliptical Bulge Tests in Warm Hydroforming Process for AA5754-O Sheet
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Analytical and Numerical Calculation of the Force and Power Requirements for Air Bending of Structured Sheet Metals
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Simulation of Super-Plastic Forming Based on a Micro-Structural Constitutive Model and Considering Grain Growth
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Investigation on the Effect of Pulsating Pressure on Tube-Hydroforming Process
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HomeKey Engineering MaterialsKey Engineering Materials Vol. 473Modeling and Optimization of Pressure Profile in...

Modeling and Optimization of Pressure Profile in Hydroforming of St12 Conic Part with RSM and Genetic Algorithm

Abstract:

One of the most effective methods of manufacturing conical parts is the hydroforming process. The pressure profile during forming is the most important factor on wrinkling, thinning, and punch wall contact. This paper presents a methodology to determine the optimal profile of hydraulic pressure during hydroforming of conical parts. The objective is to minimize the variation of the thickness throughout the part. Initially, the finite element model is developed and verified. The part being modeled is then subjected to different pressure profiles to examine the effect of each profile on thinning. The Response Surface Modeling (RSM) along with Genetic Algorithm (GA) is employed to obtain the optimum pressure profile. The paper describes the methodology developed and reports the results obtained.

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Periodical:

Key Engineering Materials (Volume 473)

Pages:

587-593

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.473.587

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Online since:

March 2011

Authors:

Hamzeh Shahrajabian, Khalil Khalili, M. Soheil Khalili

Keywords:

Genetic Algorithm (GA), Hydroforming, Process Optimisation, Response Surface Modeling

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